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Existing research on the labor market effects of digital transformation has identified jobs with a high content of routine tasks as particularly prone to automation. My analysis shows that the decline in routine employment was almost entirely driven by decreasing inflow rates from non-participation and non-routine occupations as opposed to increasing outflow rates from routine jobs. Performing Oaxaca-Blinder-type nonparametric decompositions, I find that these inflow rate decreases can primarily be accounted for by changed propensities to transition into routine occupations, whereas demographic changes play a minor role. The propensity to transition from non-routine into routine employment has decreased for all distinguished demographic groups, while the propensity to enter the labor market into routine cognitive employment has particularly decreased for middle-aged individuals and those with low or medium education. My findings suggest that the Swiss labor market is evolving differently than the US labor market in the wake of the digital transformation.",{"EN":120},"Routine job dynamics in the Swiss labor market",{"VOID":122},"[\"8492507987598177297\"]",{"VOID":124},"Acemoglu, D., & Autor, D. H. (2011). Skills, tasks and technologies: Implications for employment and earnings. In Handbook of labor economics (Vol. 4, pp. 1043–1171). Elsevier. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0169-7218(11)02410-5.\nAcemoglu, D., & Restrepo, P. (2022). Tasks, automation, and the rise in US wage inequality. Econometrica, 90(5), 1973–2016. https:\u002F\u002Fdoi.org\u002F10.3982\u002FECTA19815.\nAutor, D.H. & Katz, L. F. (1999). Changes in the wage structure and earnings inequality. In Handbook of labor economics (Vol. 3, pp. 1463–1555). Elsevier. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS1573-4463(99)03007-2.\nAutor, D. H., Katz, L. F., & Kearney, M. S. (2008). Trends in US wage inequality: Revising the revisionists. The Review of economics and statistics, 90(2), 300–323. https:\u002F\u002Fdoi.org\u002F10.1162\u002Frest.90.2.300.\nAutor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly journal of economics, 118(4), 1279–1333. https:\u002F\u002Fdoi.org\u002F10.1162\u002F003355303322552801.\nBachmann, R., Cim, M., & Green, C. (2019). Long-Run Patterns of Labour Market Polarization: Evidence from German Micro Data. British Journal of Industrial Relations, 57(2), 350–376. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fbjir.12419.\nBalsmeier, B., & Wörter, M. (2019). Is this time different? How digitalization influences job creation and destruction. Research Policy. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.respol.2019.03.010.\nBeerli, A., Indergand, R., & Kunz, J. S. (2022). The supply of foreign talent: how skill-biased technology drives the location choice and skills of new immigrants. Journal of Population Economics. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00148-022-00892-3.\nBerman, E., Bound, J., & Machin, S. (1998). Implications of skill-biased technological change: international evidence. The Quarterly Journal of Economics, 113(4), 1245–1279. https:\u002F\u002Fdoi.org\u002F10.1162\u002F003355398555892.\nBlinder, A. S. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human resources, 8, 436–455. https:\u002F\u002Fdoi.org\u002F10.2307\u002F144855.\nBloome, D., Dyer, S., & Zhou, X. (2018). Educational inequality, educational expansion, and intergenerational income persistence in the United States. American Sociological Review, 83(6), 1215–1253. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0003122418809374.\nBonassi, T., & Wolter, S. C. (2002). Measuring the success of transition: the results of a pre-study in Switzerland. Education + Training. https:\u002F\u002Fdoi.org\u002F10.1108\u002F00400910210432086.\nBorjas, G. J. (2005). The labor-market impact of high-skill immigration. American Economic Review, 95(2), 56–60. https:\u002F\u002Fdoi.org\u002F10.1257\u002F000282805774670040.\nCortes, G. M., Jaimovich, N., & Siu, H. E. (2017). Disappearing routine jobs: Who, how, and why? Journal of Monetary Economics, 91, 69–87. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmoneco.2017.09.006.\nCortes, G. M., Jaimovich, N., Nekarda, C. J., & Siu, H. E. (2020). The dynamics of disappearing routine jobs: A flows approach. Labour Economics, 65, 101823. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.labeco.2020.101823.\nDengler, K., Matthes, B., & Paulus, W. (2014). Occupational tasks in the German labour market. FDZ Methodenreport, 12. https:\u002F\u002Fdoku.iab.de\u002Ffdz\u002Freporte\u002F2014\u002FMR_12-14_EN.pdf.\nEmmenegger, P. (2010). Low statism in coordinated market economies: The development of job security regulations in Switzerland. International Political Science Review, 31(2), 187–205. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0192512110364260.\nFernández-Macías, E. (2012). Job polarization in Europe? Changes in the employment structure and job quality, 1995–2007. Work and Occupations, 39(2), 157–182. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0730888411427078.\nFord, M. (2015). Rise of the robots: Technology and the threat of a jobless future. Basic Books.\nFrey, C. B., Berger, T., & Chen, C. (2018). Political machinery: Did robots swing the 2016 US presidential election? Oxford Review of Economic Policy, 34(3), 418–442. https:\u002F\u002Fdoi.org\u002F10.1093\u002Foxrep\u002Fgry007.\nFrey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.techfore.2016.08.019.\nGoldin, C., & Katz, L. F. (2010). The race between education and technology. Harvard University Press.\nGoos, M., & Manning, A. (2007). Lousy and lovely jobs: The rising polarization of work in Britain. The Review of Economics and Statistics, 89(1), 118–133. https:\u002F\u002Fdoi.org\u002F10.1162\u002Frest.89.1.118.\nGoos, M., Manning, A., & Salomons, A. (2009). Job polarization in Europe. American Economic Review, 99(2), 58–63. https:\u002F\u002Fdoi.org\u002F10.1257\u002Faer.99.2.58.\nGoos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-biased technological change and offshoring. American Economic Review, 104(8), 2509–26. https:\u002F\u002Fdoi.org\u002F10.1257\u002Faer.104.8.2509.\nHall, P. A., & Soskice, D. (2001). An introduction to varieties of capitalism. op. cit, 21-27. https:\u002F\u002Fscholar.harvard.edu\u002Ffiles\u002Fhall\u002Ffiles\u002Fvofcintro.pdf.\nHardy, W., Keister, R., & Lewandowski, P. (2018). Educational upgrading, structural change and the task composition of jobs in Europe. Economics of Transition, 26(2), 201–231. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fecot.12145.\nJaimovich, N., & Siu, H. E. (2020). Job polarization and jobless recoveries. Review of Economics and Statistics, 102(1), 129–147. https:\u002F\u002Fdoi.org\u002F10.1162\u002Frest_a_00875.\nJann, B. (2008). A Stata implementation of the Blinder-Oaxaca decomposition. Stata Journal, 8(4), 453–479.\nKatz, L. F., & Murphy, K. M. (1992). Changes in relative wages, 1963–1987: Supply and demand factors. The Quarterly Journal of Economics, 107(1), 35–78. https:\u002F\u002Fdoi.org\u002F10.2307\u002F2118323.\nKogan, L., Papanikolaou, D., Seru, A., & Stoffman, N. (2017). Technological innovation, resource allocation, and growth. The Quarterly Journal of Economics, 132(2), 665–712. https:\u002F\u002Fdoi.org\u002F10.1093\u002Fqje\u002Fqjw040.\nKurer, T. (2019). Routine workers in an increasingly automated world of work: Evidence from Switzerland. Sozialpolitik.ch, 1(2), 1–2. https:\u002F\u002Fdoc.rero.ch\u002Frecord\u002F326675.\nKurer, T., & Palier, B. (2019). Shrinking and shouting: the political revolt of the declining middle in times of employment polarization. Research & Politics, 6(1), 2053168019831164. https:\u002F\u002Fdoi.org\u002F10.1177\u002F2053168019831164.\nMihaylov, E., & Tijdens, K. G. (2019). Measuring the routine and non-routine task content of 427 four-digit ISCO-08 occupations. https:\u002F\u002Fdx.doi.org\u002F10.2139\u002Fssrn.3389681.\nMurphy, E. C., & Oesch, D. (2017). Is employment polarisation inevitable? Occupational change in Ireland and Switzerland, 1970–2010. Work, Employment and Society, 32(6), 1099–1117. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0950017017738944.\nOaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14, 693–709. https:\u002F\u002Fdoi.org\u002F10.2307\u002F2525981.\nOesch, D., & Piccitto, G. (2019). The polarization myth: Occupational upgrading in Germany, Spain, Sweden, and the UK, 1992–2015. Work and Occupations, 46(4), 441–469. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0730888411427078.\nOesch, D., & Rodríguez Menés, J. (2011). Upgrading or polarization? Occupational change in Britain, Germany, Spain and Switzerland, 1990–2008. Socio-Economic Review, 9(3), 503–531. https:\u002F\u002Fdoi.org\u002F10.1093\u002Fser\u002Fmwq029.\nPusterla, F., Renold, U. (2022). Does ICT affect the demand for vocationally educated workers?. Swiss Journal of Economics and Statistics, 158, 22. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs41937-022-00101-8.\nRifkin, J. (2014). The zero marginal cost society: The internet of things, the collaborative commons, and the eclipse of capitalism. St: Martin’s Press.\nRomer, P. M. (1990). Endogenous technological change. Journal of political Economy, 98(5, Part 2), S71–S102. https:\u002F\u002Fdoi.org\u002F10.1086\u002F261725.\nSchoon, I., & Bynner, J. (2019). Young people and the Great Recession: Variations in the school-to-work transition in Europe and the United States. Longitudinal and Life Course Studies, 10(2), 153–173. https:\u002F\u002Fdoi.org\u002F10.1332\u002F175795919X15514456677349.\nVivarelli, M. (2014). Innovation, employment and skills in advanced and developing countries: A survey of economic literature. Journal of Economic Issues, 48(1), 123–154. https:\u002F\u002Fdoi.org\u002F10.2753\u002FJEI0021-3624480106.\nWalter, S., & Lee, J. D. (2022). How susceptible are skills to obsolescence? A task-based perspective of human capital depreciation. Foresight and STI Governance (Foresight-Russia till No. 3\u002F2015), 16(2), 32–41. https:\u002F\u002Fideas.repec.org\u002Fa\u002Fhig\u002Ffsight\u002Fv16y2022i2p32-41.html.\nWalther, A. (2006). Regimes of youth transitions: Choice, flexibility and security in young people’s experiences across different European contexts. 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Slate, September 29. Accessed June 5, 2017. http:\u002F\u002Fwww.slate.com\u002Fblogs\u002Fmoneybox\u002F2014\u002F09\u002F29\u002Flifetime_earnings_by_college_major_why_economics_grads_make_bank.html\nWeyl, G. (2017). Finance and the common good. In E Glaeser, T Santos, G Weyl (Eds.), After the flood: how the great recession changed economic thought. Chiacago: University of Chicago Press.\nZingales, L. (2015). Does finance benefit society? Journal of Finance, LXX(4), 1327–1363.",{"VOID":213},"10.1186\u002Fs41937-017-0019-2","2024-06-26T11:07:28.990+00:00","https:\u002F\u002Fsjes.springeropen.com\u002Farticles\u002F10.1186\u002Fs41937-017-0019-2",[217],{"id":218,"sortIndex":19,"researcher":18,"roles":219,"affiliations":220,"properties":229,"displayName":231,"givenName":18,"familyName":18},"9b778bbb-db55-450e-9769-722af19f30bf",[136],[221],{"id":222,"sortIndex":19,"affiliation":223,"properties":18},"c1dd4307-0139-4fc1-941f-181693676885",{"id":222,"createTime":18,"updateTime":18,"relativeEntities":224,"slug":18,"properties":225,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":228,"statistic":18},[],{"title":226},{"VI":227},"University of California-Berkeley, Berkeley, USA",[],{"title":230,"gsAuthor":232},{"VI":231},"Marion Fourcade",{"VOID":233},"[\"gNIBuscAAAAJ\"]",{"url":215,"publisher":235,"properties":268},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":236,"slug":10,"properties":237,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":240,"manageAffiliations":249,"indexDatabases":255,"url":18,"thumbnailPath":18,"statistic":263,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"title":238,"eissn":239},{"EN":13},{"VOID":15},[241,245],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":242,"label":243,"description":244,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":246,"label":247,"description":248,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},[250],{"id":35,"createTime":18,"updateTime":18,"relativeEntities":251,"slug":18,"properties":252,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":254,"statistic":18},[],{"title":253},{"EN":39},[],[256],{"id":43,"indexDatabase":257,"url":54,"indexYears":55,"academicFieldIds":262,"indexDatabaseRanking":59},{"id":45,"createTime":18,"updateTime":18,"relativeEntities":258,"label":259,"description":260,"key":51,"publicationTags":261,"standard":18},[],{"EN":48,"VI":48},{"EN":48,"VI":50},[53],[57,58],{"impactFactor":19,"impactFactorByYear":264,"i10Index":68,"i10IndexLast5Year":69,"totalPublication":70,"totalPublicationByYear":265,"totalCitation":83,"totalCitationByYear":266,"totalCitationPerPublication":92,"totalCitationPerPublicationByYear":267,"hindexLast5Year":79,"hindex":79},{"2012":62,"2013":62,"2014":63,"2019":64,"2020":65,"2021":66,"2022":67},{"2007":72,"2008":73,"2009":74,"2010":75,"2011":72,"2012":76,"2013":72,"2014":77,"2015":78,"2016":79,"2017":79,"2018":74,"2019":79,"2020":76,"2021":80,"2022":81,"2023":82,"2024":78},{"2007":79,"2008":69,"2009":85,"2010":86,"2011":87,"2012":88,"2013":89,"2015":78,"2016":90,"2018":81,"2019":77,"2020":91,"2021":90},{"2007":94,"2008":62,"2009":95,"2010":96,"2011":97,"2012":98,"2013":99,"2015":100,"2016":101,"2018":102,"2019":103,"2020":104,"2021":105},{"pages":269,"volume":271},{"VOID":270},"1-9",{"VOID":272},"154","2018-01-25",2018,"ERROR_IN_ANALYZE_CITATION","2026-07-19T09:25:24.842+00:00",[53],{"id":279,"createTime":280,"updateTime":281,"relativeEntities":282,"slug":283,"properties":284,"entityType":127,"verifyStatus":128,"verifyTime":297,"verifyNote":130,"languages":298,"translateLanguages":18,"viewCount":19,"primaryUrl":300,"fullTextUrl":18,"authors":301,"publicationType":151,"publisherRelationship":323,"citationCount":357,"citationInfo":358,"publishDate":361,"publishYear":359,"citationAnalyzeStatus":17,"lastCitationAnalyze":281,"indexDatabases":362,"openAccess":18,"references":363,"isForceReanalyzing":198},"1e89442c-0505-4516-8008-31cf96892375","2024-04-15T19:02:19.272+00:00","2026-03-18T18:07:54.443+00:00",[],"Adjustment-Dynamics-of-Bilateral-Trade-Flows-Theory-and-Evidence",{"openalex":285,"mag":287,"abstract":289,"title":291,"gsPaper":293,"doi":295},{"VOID":286},"W1567132471",{"VOID":288},"1567132471",{"EN":290},"\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p>In this paper, I introduce a trade-promoting ‘invisible asset’ into the standard K\u003Cjats:sc>rugman\u003C\u002Fjats:sc>(1980) model of international trade. It can be interpreted as trust that accumulates as an externality in proportion to successful international transactions. I use this framework to theoretically derive a dynamic gravity equation and to discuss adjustment dynamics. I provide new evidence on adjustment rates of bilateral trade flows. On average, 23% of the gap to the steady-state trade flow are closed each year. 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W., and C. Hsiao (1981), “Estimation of Dynamic Models with Error Components”, Journal of the American Statistical Association, 76, pp. 598–606.",{"doi":367},"10.1080\u002F01621459.1981.10477691",{"id":18,"text":369,"url":18,"identifiers":370},"Anderson, T. W., and C. Hsiao (1982), “Formulation and Estimation of Dynamic Models Using Panel Data”, Journal of Econometrics, 18, pp. 47–82.",{"doi":371},"10.1016\u002F0304-4076(82)90095-1",{"id":18,"text":373,"url":18,"identifiers":374},"Arellano, M. and S. Bond (1991), “Some Tests of Specification for Panel Data: Monte Carlo Evidence and An Application to Employment Equations”, The Review of Economic Studies, 58, pp. 277–297.",{"doi":375},"10.2307\u002F2297968",{"id":18,"text":377,"url":18,"identifiers":378},"Baier, S., and J. H. Bergstrand (2007), “Do Free Trade Agreements Actually Increase Member’s International Trade?”, Journal of International Economics, 71, pp. 72–95.",{"doi":379},"10.1016\u002Fj.jinteco.2006.02.005",{"id":18,"text":381,"url":18,"identifiers":382},"Baier, S., J. H. Bergstrand, P. Egger, and P.A. McLaughlin (2008), “Do Economic Integration Agreements Actually Work? Issues in Understanding the Causes and Consequences of the Growth of Regionalism”, The World Economy, 31 (4), pp. 461–497.",{"doi":383},"10.1111\u002Fj.1467-9701.2008.01092.x",{"id":18,"text":385,"url":18,"identifiers":386},"Baldwin, R., V. DiNino, L. Fontagne, R. De Santis, and D. Taglioni (2008), “Study on the Impact of the Euro on Trade and Foreign Direct Investment”, European Economic and Monetary Union Working Paper 321.",{"doi":387},"10.2139\u002Fssrn.1163774",{"id":18,"text":389,"url":18,"identifiers":390},"Barro, R. J., and X. Sala-i-Martin (2003), Economic Growth. Cambridge, MIT Press.",{},{"id":18,"text":392,"url":18,"identifiers":393},"Beck, T., and R. Levine (2004), “Stock Markets, Banks, and Growth: Panel Evidence”, Journal of Banking and Finance, 28 (3), pp. 423–442.",{"doi":394},"10.1016\u002FS0378-4266(02)00408-9",{"id":18,"text":396,"url":18,"identifiers":397},"Bond, S. (2002), “Dynamic Panel Data Models: A Guide to Micro Data Methods and Practice”, Portuguese Economic Journal, 1 (2), pp. 141–162.",{"doi":398},"10.1007\u002Fs10258-002-0009-9",{"id":18,"text":400,"url":18,"identifiers":401},"Bond, S., A. Hoeffler, and J. Temple (2001), “GMM Estimation of Empirical Growth Models”, CEPR Discussion Paper 3048.",{},{"id":18,"text":403,"url":18,"identifiers":404},"Carkovic, M., and R. Levine (2005), “Does Foreign Direct Investment Accelerate Economic Growth?”, in: T. H. Moran, E. M. Graham, and M. Blomström, Does Foreign Direct Investment Promote Development? Washington, DC: Institute for International Economics and Center for Global Development.",{},{"id":18,"text":406,"url":18,"identifiers":407},"Caselli, F., G. Esquivel, and F. Lefort (1996), “Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics”, Journal of Economic Growth, 1, pp. 363–389.",{"doi":408},"10.1007\u002FBF00141044",{"id":18,"text":410,"url":18,"identifiers":411},"De Benedictis, L., and C. Vicarelli (2005), “Trade Potentials in Gravity Panel Data Models”, Topics in Economic Analysis & Policy, 5 (1), Art. 20.",{"doi":412},"10.2202\u002F1538-0653.1386",{"id":18,"text":414,"url":18,"identifiers":415},"De Grauwe P., and F. Skudelny (2000), “The Impact of EMU on Trade Flows”, Weltwirtschaftliches Archiv\u002FReview of World Economics, 136, pp. 381–402.",{"doi":416},"10.1007\u002FBF02707286",{"id":18,"text":418,"url":18,"identifiers":419},"De Nardis, S., R. de Santis, and C. Vicarelli (2008), “The Euro’s Effects on Trade in a Dynamic Setting”, The European Journal of Comparative Economics, 5 (1), pp. 73–85.",{},{"id":18,"text":421,"url":18,"identifiers":422},"Egger, P. (2001a), “European Exports and Outward Foreign Direct Investment: A Dynamic Panel Data Approach”, Weltwirtschaftliches Archiv\u002FReview of World Economics, 137 (3), pp. 427–449.",{"doi":423},"10.1007\u002FBF02707625",{"id":18,"text":425,"url":18,"identifiers":426},"Egger, P. (2001b), “European Integration in Trade and FDI: A Dynamic Perspective”, CESifo Forum, 2 (2), pp. 30–35.",{},{"id":18,"text":428,"url":18,"identifiers":429},"Egger, P., and V. Merlo (2007), “The Impact of Bilateral Investment Treaties on FDI Dynamics”, The World Economy, 30 (10), pp. 1536–1549.",{"doi":430},"10.1111\u002Fj.1467-9701.2007.01063.x",{"id":18,"text":432,"url":18,"identifiers":433},"Eichengreen, B., and D. Irwin (1998), “The Role of History in Bilateral Trade Flows”, in: J. Frankel (ed.), The Regionalization of the World Economy, University of Chicago Press.",{"doi":434},"10.7208\u002Fchicago\u002F9780226260228.003.0003",{"id":18,"text":436,"url":18,"identifiers":437},"Feenstra, R. C. (2004), Advanced International Trade: Theory and Evidence. Princeton, Princeton University Press.",{},{"id":18,"text":439,"url":18,"identifiers":440},"Guiso, L., P. Sapienza, and L. Zingales (2009), “Cultural Biases in Economic Exchange”, Quarterly Journal of Economics, forthcoming.",{"doi":441},"10.1162\u002Fqjec.2009.124.3.1095",{"id":18,"text":443,"url":18,"identifiers":444},"Krautheim, S. (2008), “Gravity and Information: Heterogeneous Firms, Exporter Networks and the ‘Distance Puzzle’”, European University Institute, Mimeo.",{},{"id":18,"text":446,"url":18,"identifiers":447},"Krugman, P. (1980), “Scale Economies, Product Differentiation, and the Pattern of Trade”, American Economic Review, 70 (5), pp. 950–959.",{},{"id":18,"text":449,"url":18,"identifiers":450},"Martinez-Zarzoso, I., F. Nowak-Lehmann Danzinger, S. Klasen, and M. Larch (2009), “Does German Development Aid Promote German Exports?”, German Economic Review. forthcoming.",{"doi":451},"10.1111\u002Fj.1468-0475.2008.00458.x",{"id":18,"text":453,"url":18,"identifiers":454},"Micco, A., E. Stein, G. Ordonez (2003), “The Currency Union Effect on Trade: Early Evidence from EMU”, Economic Policy, 18 (37), pp. 315–356.",{"doi":455},"10.1111\u002F1468-0327.00109_1",{"id":18,"text":457,"url":18,"identifiers":458},"Moser, C., T. Nestmann, and M. Wedow (2008), “Political Risk and Export Promotion: Evidence from Germany”, The World Economy, 31 (6), pp. 781–803.",{"doi":459},"10.1111\u002Fj.1467-9701.2008.01102.x",{"id":18,"text":461,"url":18,"identifiers":462},"Nickel, S. (1981), “Biases in Dynamic Models with Fixed Effects”, Econometrica, 49 (6), pp. 1417–1426.",{"doi":463},"10.2307\u002F1911408",{"id":18,"text":465,"url":18,"identifiers":466},"Rauch, J. E. (1999), “Networks Versus Markets in International Trade”, Journal of International Economics, 48 (1), pp. 7–35.",{"doi":467},"10.1016\u002FS0022-1996(98)00009-9",{"id":18,"text":469,"url":18,"identifiers":470},"Roodman, D. M. (2009), “A Note on the Theme of Too Many Instruments”, Oxford Bulletin of Economics and Statistics, 71 (1), pp. 135–158.",{"doi":471},"10.1111\u002Fj.1468-0084.2008.00542.x",{"id":18,"text":473,"url":18,"identifiers":474},"Staiger, D., and J. H. Stock (1997), “Instrumental Variables Regression with Weak Instruments”, Econometrica, 65 (3), pp. 557–586.",{"doi":475},"10.2307\u002F2171753",{"id":477,"createTime":478,"updateTime":479,"relativeEntities":480,"slug":481,"properties":482,"entityType":127,"verifyStatus":128,"verifyTime":493,"verifyNote":130,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":494,"fullTextUrl":18,"authors":495,"publicationType":151,"publisherRelationship":511,"citationCount":18,"citationInfo":18,"publishDate":549,"publishYear":192,"citationAnalyzeStatus":550,"lastCitationAnalyze":551,"indexDatabases":552,"openAccess":18,"references":18,"isForceReanalyzing":198},"bdd1a7b4-2ef3-4857-8096-755139e9292e","2024-02-11T22:42:58.638+00:00","2025-12-26T15:58:02.686+00:00",[],"Restricting-the-construction-of-second-homes-in-tourist-destinations-an-effective-intervention-towards-sustainability-",{"abstract":483,"title":485,"gsPaper":487,"references":489,"doi":491},{"EN":484},"This study evaluates the impact of the second home restriction (Lex Weber) on construction investments in Switzerland. Different specifications and variations are defined, and the changes in investment behaviour are analysed. A first basic model considers the variation in investments through a discrete event study analysis, while a second model includes a continuous treatment variable to account for the different strong impacts of the law in various municipalities. In the second step, these two basic models are developed in a way that allows to include controls for the different cantonal legislation. The results show that with a delay of three years (due to the expiration of permits), the law had the desired impact on new construction investments. Additionally, the importance of the changes on different outcomes in the local economy and tourism industry are discussed.",{"EN":486},"Restricting the construction of second homes in tourist destinations: an effective intervention towards sustainability?",{"VOID":488},"[]",{"VOID":490},"Abadie, A. (2005). Semiparametric Difference-in-Differences estimators. The Review of Economic Studies, 72(1), 1–19.\nAbraham, S., & Sun, L. (2020). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Working paper. Retrieved September 13, 2019 from http:\u002F\u002Feconomics.mit.edu\u002Ffiles\u002F14964.\nAkintoye, A., & Skitmore, M. R. (1994). Models of UK private sector quarterly construction demand. Construction Management and Economics, 12(1), 3–13.\nAutor, D. H. (2003). Outsourcing at will: The contribution of unjust dismissal doctrine to the growth of employment outsourcing semiparametric difference-in-differences estimators. Journal of Labor Economics, 21(1), 1–42.\nBAK Basel. (2013). Auswirkungen der Zweitwohnungsinitiative auf die touristische und regionalwirtschaftliche Entwicklung. Basel.\nBelsky, E. S., Di, Z. X., & McCue, D. (2006). Multiple-home ownership and the income elasticity of housing demand. Joint Center for Housing Studies—Harvard University. Retrieved September 03, 2018 from, http:\u002F\u002F140.247.195.238\u002Fsites\u002Fjchs.harvard.edu\u002Ffiles\u002Fw06-5.pdf.\nBertrand, M., Duflo, E., & Mullainathan, S. (2004). How much should be trust Difference-in-Difference estimates. The Quarterly Journal of Economics., 119(1), 249–275.\nCard, D. (1992). Using regional variation in wages to measure the effects of the federal minimum wage. Industrial Labor Relation Review, 46(1), 22–37.\nCredit Suisse. (2005). Spotlight—Second homes and vacation homes in Switzerland. Retrieved April 04, 2018, from https:\u002F\u002Fwww.engadimmo.ch\u002Fhome\u002Fcs_vacation-homes_en.pdf.\nDemers, F. (2005). Modelling and forecasting housing investment: The case of Canada. Working Paper 2005–41. Ottawa: Bank of Canada.\nDi, Z. X., McArdle, N., & Masnick, G. S. (2001). Second homes: What, how many, where and who. February. Retrieved September 03, 2018 from, http:\u002F\u002Fwww.jchs.harvard.edu\u002Fsites\u002Fdefault\u002Ffiles\u002Fdi_n01-2.pdf.\nFederal Office for Spatial Development ARE. (2017). Bauzonenstatistik schweiz 2017—Statistik und analysen. Bern.\nFuest, C., Peichl, A., & Siegloch, S. (2018). Do higher corporate taxes reduce wages? Micro evidence from Germany. American Economic Review, 108(2), 393–418.\nGoodman, A. C. (1988). An econometric model of housing price, permanent income, tenure choice, and housing demand. Journal of Urban Economics, 23, 327–353.\nGutierrez, R. (1999). Second homes: Well hidden. Housing Economics, 47(10), 12–16.\nHilber, C. (2018). Second home investments. CentrePiece, 25–28. Retrieved October 03, 2019, from http:\u002F\u002Fcep.lse.ac.uk\u002Fpubs\u002Fdownload\u002Fcp543.pdf.\nLy, T., & Paty, S. (2020). Local taxation and tax base mobility: Evidence from France. Regional Science and Urban Economics, 82, 103430.\nMayo, S. K. (1981). Theory and estimation in the economics of housing demand. Journal of Urban Economics, 10, 95–116.\nPlanidea, S. A. (2012). Zweitwohnungen in Graubünden—Zusatzauswertung des Mikrozensus Mobilität und Verkehr 2010. Retrieved October 09, 2019, from https:\u002F\u002Fdocplayer.org\u002F50157167-Zweitwohnungen-in-graubuenden.html.\nSchmidheiny, K., & Siegloch, S. (2020). On event studies and distributed-lags in two-way fixed effects models: Identification, equivalence, and generalization. CEPR Discussion Paper 13477.\nVinzens, M., & Hefti, G. (2014). Zweitwohnungen zwischen Fluch und Segen. Forum Raumentwicklung, 2, 5–8.",{"VOID":492},"10.1186\u002Fs41937-022-00087-3","2024-05-09T12:43:36.938+00:00","https:\u002F\u002Fsjes.springeropen.com\u002Farticles\u002F10.1186\u002Fs41937-022-00087-3",[496],{"id":497,"sortIndex":19,"researcher":18,"roles":498,"affiliations":499,"properties":508,"displayName":510,"givenName":18,"familyName":18},"55870c37-4144-40bf-955f-26153b68f74a",[136],[500],{"id":501,"sortIndex":19,"affiliation":502,"properties":18},"d9167fd3-0199-4d45-9071-8cdc6847b0d6",{"id":501,"createTime":18,"updateTime":18,"relativeEntities":503,"slug":18,"properties":504,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":507,"statistic":18},[],{"title":505},{"VI":506},"Amt für Wirtschaft und Tourismus (AWT), Chur, Switzerland",[],{"title":509},{"VI":510},"Luzius Stricker",{"url":494,"publisher":512,"properties":545},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":513,"slug":10,"properties":514,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":517,"manageAffiliations":526,"indexDatabases":532,"url":18,"thumbnailPath":18,"statistic":540,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"title":515,"eissn":516},{"EN":13},{"VOID":15},[518,522],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":519,"label":520,"description":521,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":523,"label":524,"description":525,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},[527],{"id":35,"createTime":18,"updateTime":18,"relativeEntities":528,"slug":18,"properties":529,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":531,"statistic":18},[],{"title":530},{"EN":39},[],[533],{"id":43,"indexDatabase":534,"url":54,"indexYears":55,"academicFieldIds":539,"indexDatabaseRanking":59},{"id":45,"createTime":18,"updateTime":18,"relativeEntities":535,"label":536,"description":537,"key":51,"publicationTags":538,"standard":18},[],{"EN":48,"VI":48},{"EN":48,"VI":50},[53],[57,58],{"impactFactor":19,"impactFactorByYear":541,"i10Index":68,"i10IndexLast5Year":69,"totalPublication":70,"totalPublicationByYear":542,"totalCitation":83,"totalCitationByYear":543,"totalCitationPerPublication":92,"totalCitationPerPublicationByYear":544,"hindexLast5Year":79,"hindex":79},{"2012":62,"2013":62,"2014":63,"2019":64,"2020":65,"2021":66,"2022":67},{"2007":72,"2008":73,"2009":74,"2010":75,"2011":72,"2012":76,"2013":72,"2014":77,"2015":78,"2016":79,"2017":79,"2018":74,"2019":79,"2020":76,"2021":80,"2022":81,"2023":82,"2024":78},{"2007":79,"2008":69,"2009":85,"2010":86,"2011":87,"2012":88,"2013":89,"2015":78,"2016":90,"2018":81,"2019":77,"2020":91,"2021":90},{"2007":94,"2008":62,"2009":95,"2010":96,"2011":97,"2012":98,"2013":99,"2015":100,"2016":101,"2018":102,"2019":103,"2020":104,"2021":105},{"pages":546,"volume":548},{"VOID":547},"1-16",{"VOID":190},"2022-04-01","ERROR_IN_GET_PLATFORM_ID","2025-12-26T15:58:02.685+00:00",[53],{"id":554,"createTime":555,"updateTime":556,"relativeEntities":557,"slug":558,"properties":559,"entityType":127,"verifyStatus":128,"verifyTime":556,"verifyNote":130,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":568,"fullTextUrl":18,"authors":569,"publicationType":151,"publisherRelationship":598,"citationCount":18,"citationInfo":18,"publishDate":637,"publishYear":638,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":639,"openAccess":18,"references":18,"isForceReanalyzing":198},"1595fa32-2b23-4815-b541-42dcd825e174","2024-01-11T22:26:24.575+00:00","2025-02-26T23:47:04.159+00:00",[],"The-new-firm-paradigm-and-the-provision-of-training-The-impact-of-ICT-workplace-organization-and-human-capital",{"abstract":560,"title":562,"references":564,"doi":566},{"EN":561},"The paper analyzes the relevance of the three constituent elements of the ‘new firm paradigm’, i.e. ICT, workplace organization and human capital, as determinants of a firm’s provision of training. We concentrate on apprenticeship training, which in German-speaking countries is a widespread practice of skill formation. Econometric studies dealing with a firm’s provision of apprenticeships so far did not pay much attention to the influence of a shift towards the new paradigm. We find that apprenticeship training is an appropriate way of skill formation in advanced economies, but this may not be the case in leading-edge segments of the economy.",{"EN":563},"The ‘new firm paradigm’ and the provision of training: The impact of ICT, workplace organization and human capital",{"VOID":565},"Acemoglu, D., and J.-S. Pischke (1998), “Why Do Firms Train? Theory and Evidence”, Quarterly Journal of Economics, 113, pp. 79–119.\nAcemoglu, D., and J.-S. Pischke (1999), “Beyond Becker: Training in Imperfect Labour Markets”, Economic Journal, 109, pp. 112–142.\nArvanitis, S. (2005), “Information Technology, Workplace Organization and the Demand for Labour of Different Skills: Firm-Level Evidence for the Swiss Economy”, in H. Kriesi, P. Farago, M. Kohli and M. Zarin-Nejadan (Eds.), Contemporary Switzerland: Revisiting the Special Case, pp. 135–162, Palgrave Macmillan, New York and Houndmills.\nArvanitis, S. (2010), “Are Firm Innovativeness and Firm Age Relevant for the Supply of Vocational Training? A Study Based on Swiss Micro Data”, Open Economics Journal, 3, pp. 43–57.\nArvanitis, S., and E. N. Loukis (2009), “Employee Education, Information and Communication Technology, Workplace Organization and Trade: A Comparative Analysis of Greek and Swiss Enterprises”, KOF Working Papers No. 34, ETH Zurich.\nArvanitis, S., and T. Stucki (2011), “Training Propensity of Start-ups in Switzerland — A Study Based on Data for the Start-up Cohort 1996\u002F97”, The IUP Journal of Entrepreneurship Development, 7(4), pp. 6–40.\nAutor, D. H., F. Levy, and R. Murnane (2003), “The Skill Content of Recent Technological Change: An Empirical Exploration”, Quarterly Journal of Economics, 113, pp. 1169–1213.\nBecker, G. S. (1964), Human Capital, The University of Chicago Press, Chicago.\nBeckmann, M. (2002), „Lohnstrukturverzerrung und betriebliche Ausbildung. Empirische Analyse des Acemoglu-Pischke-Modells mit Daten des IAB-Betriebspanels“, Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, 35, pp. 189–204.\nBeckmann, M. (2008), “Wage Compression and Firm-sponsored Training in Germany: Empirical Evidence for the Acemoglu-Pischke Model from a Zero-inflated Count Data Model”, Applied Economics Quarterly (Konjunkturpolitik), 48, pp. 368–389.\nBeicht, U., G. Walden, and H. Herget (2004), Kosten und Nutzen der betrieblichen Berufsbildung in Deutschland, Bertelsmann, Bielefeld.\nBertschek, I., and U. Kaiser (2004), “Productivity Effects of Organizational Change: Microeconometric Evidence”, Management Science, 50(3), pp. 394–404.\nBocquet, R., and O. Brossard (2007), “The Variety of ICT Adopters in the Intra-firm Diffusion Process: Theoretical Arguments and Empirical Evidence”, Structural Change and Economic Dynamics, 18, pp. 409–437.\nBresnahan, T. F. (1999), “Computerisation and Wage Dispersion: An Analytical Reinterpretation”, Economic Journal, 109, pp. 390–415.\nBresnahan, T. F., E. Brynjolfsson, and L. M. Hitt (2002), “Information Technology, Workplace Organisation, and the Demand for Skilled Labour: Firm-Level Evidence”, Quarterly Journal of Economics, 112, pp. 339–376.\nBurns, T., and G. Stalker (1994), The Management of Innovation, 3rd Edition, (first published in 1961), Oxford University Press: Oxford.\nCaroli, E. (2001), “New Technologies, Organizational Change and the Skill Bias: What Do we Know?”, in P. Petit and L. Soete (Eds.), Technology and the Future of European Employment, pp. 259–292, Elgar, Cheltenham.\nCassiman, B., and R. Veugelers (2002), “R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium”, American Economic Review, 92(4), pp. 1169–1184.\nDustmann, C., and U. Schönberg (2009), “Training and Union Wages”, Review of Economics and Statistics, 91, pp. 363–376.\nElbaum, B., and N. Singh (1995), “The Economic Rationale of Apprenticeship Training: Some Lessons from British and U.S. Experience”, Industrial Relations, 34, pp. 593–622.\nEuropean Commission (2007b), The European E-business Report, 2006\u002F07, DG Enterprise and Industry, Luxembourg, available at: www.ebusiness-watch.org\u002Fabout\u002Fmethodology.htm (accessed 16 September 2009).\nFinegold, D., and K. Wagner (2002), “Are Apprenticeships Still Relevant in 21st Century? A Case Study of Changing Youth Training Arrangements in German Banks”, Industrial and Labour Relations Review, 55, pp. 667–685.\nFranz, W., and D. Soskice (1995), “The German Apprenticeship System”, in F. Buttler, W. Franz, R. Schettkat and D. Soskice (Eds), Institutional Frameworks and Labor Market Performance, pp. 208–234, Routledge, London.\nFranz, W., V. Steiner, and V. Zimmermann (2000), „Die betriebliche Ausbildungsbereitschaft im technologischen und demographischen Wandel“, ZEW Wirtschaftsanalysen, 46, Nomos, Baden-Baden.\nGersbach, H., and A. Schmutzler (2012), “A Product-Market Theory of Industry-Specific Training”, RAND Journal of Economics, forthcoming.\nHarhoff, D., and T. J. Kane (1997), “Is the German Apprenticeship System a Panacea for the U.S. Labor Market?”, Journal of Population Economics, 2, pp. 171–196.\nHeckman, J. J. (1979), “Sample Selection Bias as a Specification Error”, Econometrica, 47, pp. 153–161.\nHollenstein, H., N. Sydow, and M. Wörter (2003), Einsatz von Informationsund Kommunikationstechnologien in den Schweizer Unternehmen, KOF\u002FETH-Panelumfrage 2002 mit internationalen Vergleichen, edited by the Bundesamt für Statistik (BFS), Neuchâtel.\nKessler, A. S., and C. Lülfesmann (2006), “The Theory of Human Capital Revisited: On the Interaction of General and Specific Investments”, Economic Journal, 116, pp. 903–923.\nLindbeck, A., and D. Snower (2000), “Multitask Learning and the Reorganization of Work: From Tayloristic to Holistic Organization”, Journal of Labor Economics, 18, pp. 353–376.\nMilgrom, P., and J. Roberts (1990), “The Economics of Modern Manufacturing: Technology, Strategy, and Organization”, American Economic Review, 80, pp. 511–528.\nMuehlemann, S., H. Pfeifer, G. Walden, F. Wenzelmann, and S. C. Wolter (2010), “The Financing of Apprenticeship Training in the Light of Labour Market Regulations”, Labour Economics, 17, pp. 799–809.\nNiederalt, M. (2004), Zur ökonomischen Analyse betrieblicher Lehrstellenangebote in der Bundesrepublik Deutschland, Peter Lang, Frankfurt am Main.\nPiva, M., E. Santarelli, and M. Vivarelli (2005), “The Skill Bias Effect of Technological and Organisational Change: Evidence and Policy Implications”, Research Policy, 34, pp. 141–157.\nRyan, P. (2001), “The School-to-Work Transition: A Cross-National Perspective”, Journal of Economic Literature, 39, pp. 34–92.\nRyan, P., and S. C. Wolter (2011), “Apprenticeship”,in: E. A. Hanushek, S. Machin, L. Wössmann (eds.), Handbook of Economics of Education, Volume 3, pp. 521–576, Amsterdam: Elsevier North-Holland.\nSchweri, J., S. Mühlemann, Y. Pescio, B. Walther, S. C. Wolter, and L. Zürcher (2003), Kosten und Nutzen der Lehrlingsausbildung aus der Sicht Schweizer Betriebe. Rüegger, Chur-Zürich.\nSteedman, H. (2001) “Benchmarking Apprenticeship: UK and Continental Europe Compared”, London School of Economics, Centre for Economic Performance (CEP), Discussion Paper No. 0513, London.\nSteedman, H. (2005), “Apprenticeship in Europe: Fading or Flourishing?”, London School of Economics, Centre for Economic Performance (CEP), Discussion Paper No. 0710, London.\nWolter, S.C., and J. Schweri (2002), “The Cost and Benefit of Apprenticeship Training: The Swiss Case”, Applied Economics Quarterly (Konjunkturpolitik), 48, pp. 347–367.\nWooldridge, J.M. (2002a), Econometric Analysis of Cross Section and Panel Data, The MIT Press, Cambridge, Massachusetts, London, England.\nWooldridge, J.M. (2002b), Introductory Econometrics. A Modern Approach, South-Western College Publishing, Thomson Learning, Mason, USA.",{"VOID":567},"10.1007\u002FBF03399378","https:\u002F\u002Fsjes.springeropen.com\u002Farticles\u002F10.1007\u002FBF03399378",[570,585],{"id":571,"sortIndex":19,"researcher":18,"roles":572,"affiliations":573,"properties":582,"displayName":584,"givenName":18,"familyName":18},"fa8b7f8d-f504-44fd-b6a8-b4e59069b272",[136],[574],{"id":575,"sortIndex":19,"affiliation":576,"properties":18},"c9faa284-9323-4397-bde5-ec97d6e47827",{"id":575,"createTime":18,"updateTime":18,"relativeEntities":577,"slug":18,"properties":578,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":581,"statistic":18},[],{"title":579},{"VI":580},"ETH Zurich, KOF Swiss Economic Institute, Zurich, Switzerland",[],{"title":583},{"VI":584},"Heinz Hollenstein",{"id":586,"sortIndex":100,"researcher":18,"roles":587,"affiliations":588,"properties":595,"displayName":597,"givenName":18,"familyName":18},"ee8abf13-be1d-423a-a070-e64a3647e876",[136],[589],{"id":575,"sortIndex":19,"affiliation":590,"properties":18},{"id":575,"createTime":18,"updateTime":18,"relativeEntities":591,"slug":18,"properties":592,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":594,"statistic":18},[],{"title":593},{"VI":580},[],{"title":596},{"VI":597},"Tobias Stucki",{"url":568,"publisher":599,"properties":632},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":600,"slug":10,"properties":601,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":604,"manageAffiliations":613,"indexDatabases":619,"url":18,"thumbnailPath":18,"statistic":627,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"title":602,"eissn":603},{"EN":13},{"VOID":15},[605,609],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":606,"label":607,"description":608,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":610,"label":611,"description":612,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},[614],{"id":35,"createTime":18,"updateTime":18,"relativeEntities":615,"slug":18,"properties":616,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":618,"statistic":18},[],{"title":617},{"EN":39},[],[620],{"id":43,"indexDatabase":621,"url":54,"indexYears":55,"academicFieldIds":626,"indexDatabaseRanking":59},{"id":45,"createTime":18,"updateTime":18,"relativeEntities":622,"label":623,"description":624,"key":51,"publicationTags":625,"standard":18},[],{"EN":48,"VI":48},{"EN":48,"VI":50},[53],[57,58],{"impactFactor":19,"impactFactorByYear":628,"i10Index":68,"i10IndexLast5Year":69,"totalPublication":70,"totalPublicationByYear":629,"totalCitation":83,"totalCitationByYear":630,"totalCitationPerPublication":92,"totalCitationPerPublicationByYear":631,"hindexLast5Year":79,"hindex":79},{"2012":62,"2013":62,"2014":63,"2019":64,"2020":65,"2021":66,"2022":67},{"2007":72,"2008":73,"2009":74,"2010":75,"2011":72,"2012":76,"2013":72,"2014":77,"2015":78,"2016":79,"2017":79,"2018":74,"2019":79,"2020":76,"2021":80,"2022":81,"2023":82,"2024":78},{"2007":79,"2008":69,"2009":85,"2010":86,"2011":87,"2012":88,"2013":89,"2015":78,"2016":90,"2018":81,"2019":77,"2020":91,"2021":90},{"2007":94,"2008":62,"2009":95,"2010":96,"2011":97,"2012":98,"2013":99,"2015":100,"2016":101,"2018":102,"2019":103,"2020":104,"2021":105},{"pages":633,"volume":635},{"VOID":634},"557-595",{"VOID":636},"148","2012-12-27",2012,[53],{"id":641,"createTime":642,"updateTime":643,"relativeEntities":644,"slug":645,"properties":646,"entityType":127,"verifyStatus":128,"verifyTime":643,"verifyNote":130,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":655,"fullTextUrl":18,"authors":656,"publicationType":151,"publisherRelationship":672,"citationCount":18,"citationInfo":18,"publishDate":711,"publishYear":712,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":713,"openAccess":18,"references":18,"isForceReanalyzing":198},"ed67124d-b2b4-41d2-b4ac-d7f1e6ed6349","2023-12-20T09:58:13.880+00:00","2025-02-25T21:37:56.578+00:00",[],"An-analysis-of-technical-efficiency-and-efficiency-factors-for-Austrian-and-Swiss-non-profit-theatres",{"abstract":647,"title":649,"references":651,"doi":653},{"EN":648},"This article explores the measurement of the production technology and efficiency of the performing arts sector. The stochastic frontier analysis has been used to estimate the technical efficiency scores for 20 Austrian and 30 Swiss non-profit theatres over 36 and 26 years, respectively. The number of visitors and tickets on offer are considered as two alternative measures of artistic output. The results indicate that individual efficiency estimates are very sensitive to the econometric specification of the unobserved heterogeneity of theatres. In particular, econometric techniques which do not account for this heterogeneity produce much lower efficiency levels. The indefinable dimension of artistic output such as theatre-specific quality may also have an important influence on efficiency estimates. The empirical analysis also delivers the first insights into the impact of exogenous factors on technical efficiency such as the number of theatres in the local area, regional differences and the level of public subsidies.",{"EN":650},"An analysis of technical efficiency and efficiency factors for Austrian and Swiss non-profit theatres",{"VOID":652},"Aigner, Dennis, C. A. Knox Lovell and Peter Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models”, Journal of Econometrics, 6, pp. 21–37.\nBattese, George, and Tim Coelli (1992), “Frontier Production Functions, Technical Efficiency and Panel Data: With Applications to Paddy Farmers in India”, Journal of Productivity Analysis, 3, pp. 153–169.\nBattese, George, and Tim Coelli (1995), “A Model of Technical Efficiency Effects in a Stochastic Frontier Production Function for Panel Data”, Empirical Economics, 20, pp. 325–332.\nBaumol, William J., and William G. Bowen (1965), “On the Performing Arts: The Anatomy of their Economic Problems”, The American Economic Review, 55 (1\u002F2), pp. 495–502.\nBishop, Paul and Steven Brand (2003), “The Efficiency of Museums: A Stochastic Frontier Production Function Approach”, Applied Economics, 35, pp. 1853–1858.\nCoelli, Tim (1996), “A Guide to FRONTIER Version 4.2: A Computer Program for Stochastic Frontier Production and Cost Function Estimation”, CEPA Working Paper 96\u002F7, University of New England.\nFarrell, Michael J. (1957), “The Measurement of Productive Efficiency”, Journal of the Royal Statistical Society, 120, pp. 253–281.\nFarsi, Mehdi, Massimo Filippini and Michael Kuenzle (2005), “Unobserved Heterogeneity in Stochastic Cost Frontier Models: An Application to Swiss Nursing Homes”, Applied Economics, 37, pp. 2127–2141.\nFarsi, Mehdi, and Massimo Filippini (2006), “An Analysis of Efficiency and Productivity in Swiss Hospitals”, Swiss Journal of Economics and Statistics, 142 (1), pp. 1–37.\nFarsi, Mehdi, Massimo Filippini and William Greene (2006), “Application of Panel Data Models in Benchmarking Analysis of the Electricity Distribution Sector”, Annals of Public and Cooperative Economics, 77, pp. 271–290.\nFazioli, Roberto, and Massimo Filippini (1997), “Cost Structure and Product Mix of Local Public Theatres”, Journal of Cultural Economics, 21, pp. 77–86.\nGapinski, James (1980), “The Production of Culture”, The Review of Economics and Statistics, 62 (4), pp. 578–586.\nGapinski, James (1984), “The Economics of Performing Shakespeare”, The American Economic Review, 74 (3), pp. 458–466.\nGloberman, Steven, and Sam H. Book (1974), “Statistical Cost Functions for Performing Arts Organizations”, Southern Economic Journal, 40 (4), pp. 668–671.\nGreene, William (2004), “Distinguishing between Heterogeneity and Inefficiency: Stochastic Frontier Analysis of the World Health Organization’s Panel Data on National Health Care Systems”, Health Economics, 13 (10), pp. 959–980.\nGreene, William (2005), “Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model”, Journal of Econometrics, 126 (2), pp. 269–303.\nGreene, William (2007), LIMDEP Version 9.0 Reference Guide, Vol. 2, Econometric Software Inc: New York.\nGruber, Klemens, and Rainer M. Köppl (1998), “The Theatre System of Austria”, in: Hans van Maanen and Steve Wilmer (eds), Theatre Worlds in Motion. Structures, Politics and Developments in the countries of Western Europe, Amsterdam, pp. 37–73.\nHadri, Kaddour, Cherif Guermat and Julie Whittaker (2003), “Estimation of Technical Inefficiency Effects Using Panel Data and Doubly Heteroscedastic Stochastic Production Frontiers”, Empirical Economics, 28 (1), pp. 203–222.\nHeilbrun, James, and Charles M. Gray (1993), The Economics of Art and Culture: An American Perspective, Cambridge.\nO’hagan, John (1998), The State and the Arts: An Analysis on Key Economic Policy Issues in Europe and the United States, Cheltenham.\nO’hagan, John, and Marta Zieba (2010), “Output Characteristics and Other Determinants of Theatre Attendance — An Econometric Analysis of German Data”, Applied Economics Quarterly, 56 (2), pp. 147–174.\nJondrow, James, Ivan Materov, C. A. Knox Lovell, and Peter Schmidt (1982), “On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model”, Journal of Econometrics, 19 (2\u002F3), pp. 233–238.\nKotte, Andreas (1998), “The Theatre System of Switzerland”, in: Hans van Maanen and Steve Wilmer (eds), Theatre Worlds in Motion. Structures, Politics and Developments in the countries of Western Europe, Amsterdam, pp. 619–667.\nLast, Anne-Kathrin, and Heike Wetzel (2010), The Efficiency of German Public Theatres: A Stochastic Frontier Analysis Approach, Journal of Cultural Economics, 34, pp. 89–110.\nLuksetich, William A., and Mark D. Lange (1995), “A Simultaneous Model of Nonprofit Symphony Orchestra Behavior”, Journal of Cultural Economics, 19, pp. 49–68.\nMarco-Serrano, Francisco (2006), “Monitoring Managerial Efficiency in the Performing Arts: A Regional Theatres Network Perspective”, Annals of Operations Research, 145, pp. 167–181.\nPestiau, Pierre, and Henry Tulkens (2006), “Assesing and Explaining the Performances of Public Enterprises: Some Recent Evidence From the Productive Efficiency Viewpoint”, in P. Chander, J. Drèze, C. Knox Lovell and J. Mintz (eds), Public goods, environmental externalities and fiscal competition, Springer US, pp. 343–372.\nPitt, Mark M., and Lung-Fei Lee (1981), “The Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry”, Journal of Development Economics, 9 (1), pp. 43–64.\nPropper, Carol, Burgess, Simon and Katherine Green (2004), “Does Competition between Hospitals Improve the Quality of Care? Hospital Death Rates and the NHS Internal Market”, Journal of Public Economics, 88, pp. 1247–1272.\nSchmidt, Peter, and Robin C. Sickles (1984), “Production Frontiers and Panel Data”, Journal of Business and Economic Statistics, 2 (4), pp. 367–374.\nSivers, Norbert, Wagner, Bernd and Andreas Wiesand (2004), „Objektive und transparente Förderkriterien staatlicher Kulturfinanzierung — Vergleiche mit dem Ausland“, Gutachten für die Enquete-Kommission des Deutschen Bundestages (Kultur in Deutschland), K.-Drs. 15\u002F276a, November, Bonn.\nTaalas, Mervi (1997), “Generalized Cost Functions of Producers of Performing Arts — Allocative Inefficiencies and Scale Economies in Theatres”, Journal of Cultural Economics, 21, pp. 335–349.\nThrosby, David (1977), “Production and Cost Relationships in the Supply of the Performing Arts Services”, in: K. Tucker (ed.), The Economics of the Australian Service Sector, London, pp. 414–432.\nTobias, Stefan (2003), “Cost-Efficient Performing Arts? German Theatres in a DEA Comparison”, Inauguraldissertation zur Erlangung des akademischen Grades Doctor rerum politicarum der Universität Dortmund.\nVarian, Hal R. (1992), Microeconomic Analysis, 3rd Edition, New York.\nZieba, Marta and Carol Newman (2007), “Understanding Production in the Performing Arts: a Production Function for German Public Theatre.” TEP Working Paper 07\u002F07, Trinity College Dublin.",{"VOID":654},"10.1007\u002FBF03399346","https:\u002F\u002Fsjes.springeropen.com\u002Farticles\u002F10.1007\u002FBF03399346",[657],{"id":658,"sortIndex":19,"researcher":18,"roles":659,"affiliations":660,"properties":669,"displayName":671,"givenName":18,"familyName":18},"18588593-9312-4685-9db6-6cf9ff4bf92c",[136],[661],{"id":662,"sortIndex":19,"affiliation":663,"properties":18},"da17521c-abd5-4538-846c-9dd8fd72dce8",{"id":662,"createTime":18,"updateTime":18,"relativeEntities":664,"slug":18,"properties":665,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":668,"statistic":18},[],{"title":666},{"VI":667},"Department of Economics, Trinity College Dublin, College Green, Dublin 2, Ireland",[],{"title":670},{"VI":671},"Marta Zieba",{"url":655,"publisher":673,"properties":706},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":674,"slug":10,"properties":675,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":678,"manageAffiliations":687,"indexDatabases":693,"url":18,"thumbnailPath":18,"statistic":701,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"title":676,"eissn":677},{"EN":13},{"VOID":15},[679,683],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":680,"label":681,"description":682,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":684,"label":685,"description":686,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},[688],{"id":35,"createTime":18,"updateTime":18,"relativeEntities":689,"slug":18,"properties":690,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":692,"statistic":18},[],{"title":691},{"EN":39},[],[694],{"id":43,"indexDatabase":695,"url":54,"indexYears":55,"academicFieldIds":700,"indexDatabaseRanking":59},{"id":45,"createTime":18,"updateTime":18,"relativeEntities":696,"label":697,"description":698,"key":51,"publicationTags":699,"standard":18},[],{"EN":48,"VI":48},{"EN":48,"VI":50},[53],[57,58],{"impactFactor":19,"impactFactorByYear":702,"i10Index":68,"i10IndexLast5Year":69,"totalPublication":70,"totalPublicationByYear":703,"totalCitation":83,"totalCitationByYear":704,"totalCitationPerPublication":92,"totalCitationPerPublicationByYear":705,"hindexLast5Year":79,"hindex":79},{"2012":62,"2013":62,"2014":63,"2019":64,"2020":65,"2021":66,"2022":67},{"2007":72,"2008":73,"2009":74,"2010":75,"2011":72,"2012":76,"2013":72,"2014":77,"2015":78,"2016":79,"2017":79,"2018":74,"2019":79,"2020":76,"2021":80,"2022":81,"2023":82,"2024":78},{"2007":79,"2008":69,"2009":85,"2010":86,"2011":87,"2012":88,"2013":89,"2015":78,"2016":90,"2018":81,"2019":77,"2020":91,"2021":90},{"2007":94,"2008":62,"2009":95,"2010":96,"2011":97,"2012":98,"2013":99,"2015":100,"2016":101,"2018":102,"2019":103,"2020":104,"2021":105},{"pages":707,"volume":709},{"VOID":708},"233-274",{"VOID":710},"147","2011-12-26",2011,[53],{"id":715,"createTime":716,"updateTime":717,"relativeEntities":718,"slug":719,"properties":720,"entityType":127,"verifyStatus":128,"verifyTime":717,"verifyNote":130,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":729,"fullTextUrl":18,"authors":730,"publicationType":151,"publisherRelationship":746,"citationCount":18,"citationInfo":18,"publishDate":785,"publishYear":786,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":787,"openAccess":18,"references":18,"isForceReanalyzing":198},"5de4e31f-a01e-4faf-b47a-acbd4aa5023b","2024-01-19T23:01:00.978+00:00","2025-02-25T16:23:06.198+00:00",[],"Blacking-out",{"abstract":721,"title":723,"references":725,"doi":727},{"EN":722},"The partial shutdown of the economy following the outbreak of the COVID-19 pandemic has highlighted the lack of measurements of economic activity that are available with a short lag and at high frequency. The consumption of electricity turns out to be a valuable proxy, if it is corrected for influences from calendar and weather. Indeed, this proxy suggests that we are currently facing one of the deepest recessions ever.",{"EN":724},"Blacking out",{"VOID":726},"Economist (2010). Keqiang ker-ching, 397(8712), 54. https:\u002F\u002Fwww.economist.com\u002Fasia\u002F2010\u002F12\u002F09\u002Fkeqiang-ker-ching.\nFederal Reserve Board (2019). Celebrating 100 years of the industrial production index. https:\u002F\u002Fwww.federalreserve.gov\u002Freleases\u002Fg17\u002F100_years_of_ip_data.htm. Accessed 18 Jan 2019.\nKraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. Journal of Energy and Development, 3(2), 401–402. http:\u002F\u002Fwww.jstor.org\u002Fstable\u002F24806805.\nRavn, M.O., & Uhlig, H. (2002). Adjusting the Hodrick-Prescott filter for the frequency of observations. Review of Economics and Statistics, 84, 371–80. http:\u002F\u002Fdiscovery.ucl.ac.uk\u002F18641\u002F1\u002F18641.pdf.\nVernon, H.J., Storeygard, A., Weil, D.N. (2012). Measuring economic growth from outer space. American Economic Review, 102(2), 994–1028. https:\u002F\u002Fdoi.org\u002F10.1257\u002Faer.102.2.994. https:\u002F\u002Fwww.aeaweb.org\u002Farticles?id=10.1257\u002Faer.102.2.994.",{"VOID":728},"10.1186\u002Fs41937-020-00052-y","https:\u002F\u002Fsjes.springeropen.com\u002Farticles\u002F10.1186\u002Fs41937-020-00052-y",[731],{"id":732,"sortIndex":19,"researcher":18,"roles":733,"affiliations":734,"properties":743,"displayName":745,"givenName":18,"familyName":18},"deca4d48-4d6f-4700-822e-59a47eba2d04",[136],[735],{"id":736,"sortIndex":19,"affiliation":737,"properties":18},"d8a6a2b3-546d-45b2-9f9a-5b5e1d67fe2d",{"id":736,"createTime":18,"updateTime":18,"relativeEntities":738,"slug":18,"properties":739,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":742,"statistic":18},[],{"title":740},{"VI":741},"University of Basel, Faculty of Business and Economics (WWZ) and Center for Innovative Finance (CIF), Basel, Switzerland",[],{"title":744},{"VI":745},"Yvan Lengwiler",{"url":729,"publisher":747,"properties":780},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":748,"slug":10,"properties":749,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":752,"manageAffiliations":761,"indexDatabases":767,"url":18,"thumbnailPath":18,"statistic":775,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"title":750,"eissn":751},{"EN":13},{"VOID":15},[753,757],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":754,"label":755,"description":756,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":758,"label":759,"description":760,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},[762],{"id":35,"createTime":18,"updateTime":18,"relativeEntities":763,"slug":18,"properties":764,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":766,"statistic":18},[],{"title":765},{"EN":39},[],[768],{"id":43,"indexDatabase":769,"url":54,"indexYears":55,"academicFieldIds":774,"indexDatabaseRanking":59},{"id":45,"createTime":18,"updateTime":18,"relativeEntities":770,"label":771,"description":772,"key":51,"publicationTags":773,"standard":18},[],{"EN":48,"VI":48},{"EN":48,"VI":50},[53],[57,58],{"impactFactor":19,"impactFactorByYear":776,"i10Index":68,"i10IndexLast5Year":69,"totalPublication":70,"totalPublicationByYear":777,"totalCitation":83,"totalCitationByYear":778,"totalCitationPerPublication":92,"totalCitationPerPublicationByYear":779,"hindexLast5Year":79,"hindex":79},{"2012":62,"2013":62,"2014":63,"2019":64,"2020":65,"2021":66,"2022":67},{"2007":72,"2008":73,"2009":74,"2010":75,"2011":72,"2012":76,"2013":72,"2014":77,"2015":78,"2016":79,"2017":79,"2018":74,"2019":79,"2020":76,"2021":80,"2022":81,"2023":82,"2024":78},{"2007":79,"2008":69,"2009":85,"2010":86,"2011":87,"2012":88,"2013":89,"2015":78,"2016":90,"2018":81,"2019":77,"2020":91,"2021":90},{"2007":94,"2008":62,"2009":95,"2010":96,"2011":97,"2012":98,"2013":99,"2015":100,"2016":101,"2018":102,"2019":103,"2020":104,"2021":105},{"pages":781,"volume":783},{"VOID":782},"1-10",{"VOID":784},"156","2020-07-23",2020,[53],{"id":789,"createTime":790,"updateTime":791,"relativeEntities":792,"slug":793,"properties":794,"entityType":127,"verifyStatus":128,"verifyTime":791,"verifyNote":130,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":803,"fullTextUrl":18,"authors":804,"publicationType":151,"publisherRelationship":855,"citationCount":18,"citationInfo":18,"publishDate":894,"publishYear":895,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":896,"openAccess":18,"references":18,"isForceReanalyzing":198},"ed5524ee-4ea2-47e5-b428-9d78dbcea4f9","2023-12-06T23:36:00.045+00:00","2025-02-25T01:10:06.705+00:00",[],"Regime-dependent-drivers-of-the-EUR-CHF-exchange-rate",{"abstract":795,"title":797,"references":799,"doi":801},{"EN":796},"We analyze drivers of the EUR\u002FCHF exchange rate in different regimes between 2000 and 2020. Structural breaks between these subperiods are estimated in an integrated way together with the drivers that are relevant during these subperiods. Overall, the main drivers of the exchange rate include European equity and volatility indices, interest rate and term structure slope differentials, as well as monetary policy interventions. For the “peg period” September 2011–January 2015, in addition to the observed exchange rate we also analyze the drivers of the latent exchange rate that could have been observed in the absence of the peg. Interestingly, the SNB’s foreign currency investments became a significant driver of the EUR\u002FCHF exchange rate only after the end of the peg period when there was no longer an officially communicated target rate.",{"EN":798},"Regime-dependent drivers of the EUR\u002FCHF exchange rate",{"VOID":800},"Andrews, S., Colacito, R., Croce, M., & Gavazzoni, F. (2022). Concealed carry. SSRN working paper.\nAng, A., & Chen, J. (2010). 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Econometrica: Journal of the Econometric Society, 28(3), 591–605.\nCukierman, A. (2019). Forex intervention and reserve management in Switzerland and Israel since the financial crisis: Comparison and policy lessons. Open Economies Review, 30(2), 403–424.\nDahlquist, M., & Penasse, J. (2017). The missing risk premium in exchange rates. Swedish House of Finance Research Paper.\nDu, W., Tepper, A., & Verdelhan, A. (2018). Deviations from covered interest rate parity. The Journal of Finance, 73(3), 915–957.\nEfron, B., Hastie, T., Johnstone, I., & Tibshirani, R. (2004). Least angle regression. The Annals of Statistics, 32(2), 407–499.\nEngel, C. (2016). Exchange rates, interest rates, and the risk premium. American Economic Review, 106(2), 436–74.\nEngel, C., & West, K. D. (2004). Taylor rules and the Deutschmark-Dollar real exchange rate. Technical report, National Bureau of Economic Research.\nEngel, C., & West, K. D. (2005). Exchange rates and fundamentals. Journal of Political Economy, 113(3), 485–517.\nFama, E. F. (1984). Forward and spot exchange rates. Journal of Monetary Economics, 14(3), 319–338.\nFatum, R., & Yamamoto, Y. (2016). Intra-safe haven currency behavior during the global financial crisis. Journal of International Money and Finance, 66, 49–64.\nFratzscher, M., Gloede, O., Menkhoff, L., Sarno, L., & Stöhr, T. (2019). When is foreign exchange intervention effective? Evidence from 33 countries. American Economic Journal: Macroeconomics, 11(1), 132–56.\nGrisse, C., & Nitschka, T. (2015). On financial risk and the safe haven characteristics of Swiss franc exchange rates. Journal of Empirical Finance, 32, 153–164.\nHanke, M., Poulsen, R., & Weissensteiner, A. (2019). The CHF\u002FEUR exchange rate during the Swiss National Bank’s minimum exchange rate policy: A latent likelihood approach. Quantitative Finance, 19(1), 1–11.\nHansen, B. E. (2001). The new econometrics of structural change: dating breaks in US labour productivity. Journal of Economic Perspectives, 15(4), 117–128.\nHossfeld, O., & MacDonald, R. (2015). Carry funding and safe haven currencies: A threshold regression approach. Journal of International Money and Finance, 59, 185–202.\nKleiber, C., Hornik, K., Leisch, F., & Zeileis, A. (2002). Strucchange: An R package for testing for structural change in linear regression models. Journal of Statistical Software, 7(2), 1–38.\nLee, K.-S. (2017). Safe-haven currency: An empirical identification. Review of International Economics, 25(4), 924–947.\nLeutert, J. (2018). The Swiss franc safety premium. Swiss Journal of Economics and Statistics, 154(1), 1–21.\nLiu, J., Wu, S., & Zidek, J. (2007). On segmented multivariate regression. Statistica Sinica, 7, 497–525.\nMallows, C. (1973). Some comments on Cp. Technometrics, 15(4), 661–675.\nMeese, R. A., & Rogoff, K. (1983). Empirical exchange rate models of the seventies: Do they fit out of sample? Journal of International Economics, 14(1–2), 3–24.\nMolodtsova, T., & Papell, D. H. (2009). Out-of-sample exchange rate predictability with Taylor rule fundamentals. Journal of International Economics, 77(2), 167–180.\nMussa, M. (1979). Empirical regularities in the behavior of exchange rates and theories of the foreign exchange market. Carnegie-Rochester Conference Series on Public Policy, 11(1), 9–57.\nPincheira, P. M., & Hardy, N. (2018). Forecasting base metal prices with commodity currencies. Available at SSRN 3095448.\nRanaldo, A., & Söderlind, P. (2007). Safe haven currencies. Swiss National Bank Working Papers, 2007(17), pp. 1–26.\nRanaldo, A., & Söderlind, P. (2010). Safe haven currencies. Review of Finance, 14(3), 385–407.\nReitz, S. (2005). Central bank intervention and heterogeneous exchange rate expectations: Evidence from the daily DEM\u002FUS-dollar exchange rate. Open Economies Review, 16(1), 33–50.\nRime, D., Schrimpf, A., & Syrstad, O. (2022). Covered interest parity arbitrage. Review of Financial Studies, 35, 5185–5227.\nSarno, L., & Schmeling, M. (2014). Which fundamentals drive exchange rates? A cross-sectional perspective. Journal of Money, Credit and Banking, 46(2–3), 267–292.\nSarno, L., & Taylor, M. P. (2001). Official intervention in the foreign exchange market: Is it effective and if so, how does it work? Journal of Economic Literature, 39(3), 839–868.\nSinnakkannu, J. (2010). A resurgent Chinese Yuan undervaluation and its international trade competitiveness. SSRN Electronic Journal.\nStaiger, R. W., & Sykes, A. O. (2010). ‘Currency manipulation’ and world trade. World Trade Review, 9(4), 583–627.\nSwiss National Bank. (2016). https:\u002F\u002Fwww.snb.ch\u002Fen\u002Fmmr\u002Freference\u002Fpre_20110906\u002Fsource\u002Fpre_20110906.en.pdf. Press release.\nThompson, M. L. (1978). Selection of variables in multiple regression: Part I. A review and evaluation. International Statistical Review, 46, 1–19.\nYeşin, P. (2015). Capital flow waves to and from Switzerland before and after the financial crisis. Swiss Journal of Economics and Statistics, 151(1), 27–75.\nYeşin, P. (2017). Capital flows and the Swiss Franc. Swiss Journal of Economics and Statistics, 153(4), 403–436.\nZeileis, A. (2005). A unified approach to structural change tests based on ML scores, F statistics, and OLS residuals. Econometric Reviews, 24(4), 445–466.\nZeileis, A., Shah, A., & Patnaik, I. (2010). Testing, monitoring, and dating structural changes in exchange rate regimes. Computational Statistics & Data Analysis, 54(6), 1696–1706.",{"VOID":802},"10.1186\u002Fs41937-023-00107-w","https:\u002F\u002Fsjes.springeropen.com\u002Farticles\u002F10.1186\u002Fs41937-023-00107-w",[805,829,842],{"id":806,"sortIndex":19,"researcher":18,"roles":807,"affiliations":808,"properties":826,"displayName":828,"givenName":18,"familyName":18},"89988594-f156-45fa-859a-99b788545a8b",[136],[809,817],{"id":810,"sortIndex":19,"affiliation":811,"properties":18},"6ba8777a-c844-46a5-83e1-8d0e7c3779aa",{"id":810,"createTime":18,"updateTime":18,"relativeEntities":812,"slug":18,"properties":813,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":816,"statistic":18},[],{"title":814},{"VI":815},"Liechtenstein Business School, University of Liechtenstein, Vaduz, Liechtenstein",[],{"id":818,"sortIndex":100,"affiliation":819,"properties":825},"36e151d0-8f21-4142-9c41-4fe150a10d50",{"id":818,"createTime":18,"updateTime":18,"relativeEntities":820,"slug":18,"properties":821,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":824,"statistic":18},[],{"title":822},{"VI":823},"Institute of Data Analysis and Process Design, School of Engineering, Zurich University of Applied Sciences, Winterthur, Switzerland",[],{},{"title":827},{"VI":828},"Piotr 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study the impact of the pandemic on gender gaps in labor market outcomes in Switzerland. Using the Swiss Labor Force Survey data, we document a significant increase in the gender gap in labor market participation. We find no evidence of a worsening of the unemployment gender gap during the pandemic, but we find that women were more likely to uptake short-time work (STW). Unlike the USA, the presence of children in the household did not worsen labor gender gaps. Sector and occupation, however, play an important role in explaining gender gaps. In particular, we document substantial heterogeneity in the effect of the pandemic on participation, STW, hours worked, and wage outcomes depending on the availability of telework in the respondent’s occupation.\u003C\u002Fjats:p>",{"EN":909},"Gender effects of the COVID-19 pandemic in the Swiss labor 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K. G., & Houseman, S. N. (2014). Short-time compensation as a tool to mitigate job loss? Evidence on the us experience during the recent recession. Industrial Relations: A Journal of Economy and Society, 53(4), 543–567.",{"doi":1017},"10.1111\u002Firel.12069",{"id":18,"text":1019,"url":18,"identifiers":1020},"Adams-Prassl, A., Boneva, T., Golin, M., & Rauh, C. (2020). Inequality in the impact of the coronavirus shock: Evidence from real time surveys. Journal of Public Economics, 189, 104245.",{"doi":1021},"10.1016\u002Fj.jpubeco.2020.104245",{"id":18,"text":1023,"url":18,"identifiers":1024},"Albanesi, S., & Kim, J. (2021). Effects of the covid-19 recession on the us labor market: Occupation, family, and gender. Journal of Economic Perspectives, 35(3), 3–24.",{"doi":1025},"10.1257\u002Fjep.35.3.3",{"id":18,"text":1027,"url":18,"identifiers":1028},"Alon, T. M., Doepke, M., Olmstead-Rumsey, J., & Tertilt, M. (2020). The impact of covid-19 on gender equality. In Technical report National Bureau of economic research.",{"doi":1029},"10.3386\u002Fw26947",{"id":18,"text":1031,"url":18,"identifiers":1032},"Alon, T., Coskun, S., Doepke, M., Koll, D., & Tertilt, M. (2022). From mancession to shecession: Women’s employment in regular and pandemic recessions. NBER Macroeconomics Annual, 36(1), 83–151.",{"doi":1033},"10.1086\u002F718660",{"id":18,"text":1035,"url":18,"identifiers":1036},"Andrew, A., Cattan, S., Costa Dias, M., Farquharson, C., Kraftman, L., Krutikova, S., Phimister, A., Sevilla, A. (2020). The gendered division of paid and domestic work under lockdown. In IZA Discussion Paper No. 13500.",{"doi":1037},"10.2139\u002Fssrn.3654937",{"id":18,"text":1039,"url":18,"identifiers":1040},"Benzeval, M., Burton, J., Crossley, T.F., Fisher, P., Jäckle, A., Low, H., Read, B. (2020). The idiosyncratic impact of an aggregate shock: The distributional consequences of covid-19. Available at SSRN 3615691.",{"doi":1041},"10.2139\u002Fssrn.3615691",{"id":18,"text":1043,"url":18,"identifiers":1044},"Bick, A., Blandin, A. (2021). Real-time labor market estimates during the 2020 coronavirus outbreak. Available at SSRN 3692425",{"doi":1045},"10.2139\u002Fssrn.3692425",{"id":18,"text":1047,"url":18,"identifiers":1048},"Bluedorn, J., Caselli, F., Hansen, N.-J., Shibata, I., Tavares, M. (2021). Gender and employment in the covid-19 recession: Evidence on “she-cessions”. In Technical report, IMF working paper.",{"doi":1049},"10.2139\u002Fssrn.4026266",{"id":18,"text":1051,"url":18,"identifiers":1052},"Cajner, T., Crane, L. D., Decker, R. A., Grigsby, J., Hamins-Puertolas, A., Hurst, E., Kurz, C., & Yildirmaz, A. (2020). The us labor market during the beginning of the pandemic recession. In Technical report. National Bureau of Economic Research.",{"doi":1053},"10.3386\u002Fw27159",{"id":18,"text":1055,"url":18,"identifiers":1056},"Cajner, T., Crane, L.D., Decker, R., Hamins-Puertolas, A., Kurz, C.J. (2020a). Tracking labor market developments during the covid-19 pandemic: A preliminary assessment. In FEDS working paper No. 2020-030.",{"doi":1057},"10.17016\u002FFEDS.2020.030",{"id":18,"text":1059,"url":18,"identifiers":1060},"Coibion, O., Gorodnichenko, Y., & Weber, M. (2020). Labor markets during the covid-19 crisis: A preliminary view. National Bureau of Economic Research: Technical report.",{"doi":1061},"10.3386\u002Fw27017",{"id":18,"text":1063,"url":18,"identifiers":1064},"Collins, C., Landivar, L. C., Ruppanner, L., & Scarborough, W. J. (2021). Covid-19 and the gender gap in work hours. Gender, Work & Organization, 28, 101–112.",{"doi":1065},"10.1111\u002Fgwao.12506",{"id":18,"text":1067,"url":18,"identifiers":1068},"Couch, K.A., Fairlie, R.W., Xu, H. (2020). Gender and the COVID-19 Labor Market Downturn. Stanford Institute for Economic Policy Research (SIEPR).",{},{"id":18,"text":1070,"url":18,"identifiers":1071},"Del Boca, D., Oggero, N., Profeta, P., & Rossi, M. (2020). Women’s and men’s work, housework and childcare, before and during covid-19. Review of Economics of the Household, 18(4), 1001–1017.",{"doi":1072},"10.1007\u002Fs11150-020-09502-1",{"id":18,"text":1074,"url":18,"identifiers":1075},"Fabrizio, M.S., Gomes, D.B., Tavares, M.M.M. (2021). COVID-19 She-Cession: The employment penalty of taking care of young children. International Monetary Fund.",{"doi":1076},"10.5089\u002F9781513571157.001",{"id":18,"text":1078,"url":18,"identifiers":1079},"Farré, L., Fawaz, Y., González, L., Graves, J. (2020) How the covid-19 lockdown affected gender inequality in paid and unpaid work in Spain. In IZA Discussion paper No. 13434.",{"doi":1080},"10.2139\u002Fssrn.3643198",{"id":18,"text":1082,"url":18,"identifiers":1083},"Forsythe, E., Kahn, L. B., Lange, F., & Wiczer, D. (2020). Labor demand in the time of covid-19: Evidence from vacancy postings and ui claims. Journal of public economics, 189, 104238.",{"doi":1084},"10.1016\u002Fj.jpubeco.2020.104238",{"id":18,"text":1086,"url":18,"identifiers":1087},"Gupta, S., Montenovo, L., Nguyen, T.D., Lozano-Rojas, F., Schmutte, I.M., Simon, K.I., Weinberg, B.A., Wing, C. (2020). Effects of social distancing policy on labor market outcomes. NBER Working paper (w27280).",{"doi":1088},"10.3386\u002Fw27280",{"id":18,"text":1090,"url":18,"identifiers":1091},"Hijzen, A., Venn, D. (2011). The role of short-time work schemes during the 2008-09 recession. OECD Social, Employment and Migration Working Papers, No. 115.",{},{"id":18,"text":1093,"url":18,"identifiers":1094},"Juranek, S., Paetzold, J., Winner, H., & Zoutman, F. (2021). Labor market effects of covid-19 in sweden and its neighbors: Evidence from administrative data. Kyklos, 74(4), 512–526.",{"doi":1095},"10.1111\u002Fkykl.12282",{"id":18,"text":1097,"url":18,"identifiers":1098},"Kopp, D., & Siegenthaler, M. (2017). Does short-time work prevent unemployment? Labor Market Policy, 49, 12.",{},{"id":18,"text":1100,"url":18,"identifiers":1101},"Leibovici, F., Santacreu, A. M., & Famiglietti, M. (2020). Social distancing and contact-intensive occupations. St. Louis FED: On the economy.",{},{"id":18,"text":1103,"url":18,"identifiers":1104},"Mongey, S., Pilossoph, L., & Weinberg, A. (2021). Which workers bear the burden of social distancing? The Journal of Economic Inequality, 19(3), 509–526.",{"doi":1105},"10.1007\u002Fs10888-021-09487-6",{"id":18,"text":1107,"url":18,"identifiers":1108},"Montenovo, L., Jiang, X., Rojas, F. L., Schmutte, I. M., Simon, K. I., Weinberg, B. A., & Wing, C. (2020). Determinants of disparities in covid-19 job losses. National Bureau of Economic Research: Technical report.",{"doi":1109},"10.3386\u002Fw27132",{"id":18,"text":1111,"url":18,"identifiers":1112},"Queisser, M., Adema, W., Clarke, C. (2020). Covid-19, employment and women in oecd countries. CEPR VoxEu.org",{},{"id":18,"text":1114,"url":18,"identifiers":1115},"Sevilla, A., & Smith, S. (2020). Baby steps: The gender division of childcare during the covid-19 pandemic. Oxford Review of Economic Policy, 36, 169–186.",{"doi":1116},"10.1093\u002Foxrep\u002Fgraa027",{"id":18,"text":1118,"url":18,"identifiers":1119},"Shibata, I. (2021). The distributional impact of recessions: The global financial crisis and the covid-19 pandemic recession. Journal of Economics and Business, 115, 105971.",{"doi":1120},"10.1016\u002Fj.jeconbus.2020.105971",{"id":18,"text":1122,"url":18,"identifiers":1123},"Stantcheva, S. (2022). Inequalities in the times of a pandemic. National Bureau of Economic Research: Technical report.",{"doi":1124},"10.3386\u002Fw29657",{"id":18,"text":1126,"url":18,"identifiers":1127},"Zamarro, G., Perez-Arce, F., & Prados, M. J. (2020). Gender differences in the impact of covid-19. KTLA, 16, 2021.",{},{"id":18,"text":1129,"url":18,"identifiers":1130},"Zamarro, G., & Prados, M. J. (2021). Gender differences in couples’ division of childcare, work and mental health during covid-19. Review of Economics of the Household, 19(1), 11–40.",{"doi":1131},"10.1007\u002Fs11150-020-09534-7",{"id":1133,"createTime":1134,"updateTime":1135,"relativeEntities":1136,"slug":1137,"properties":1138,"entityType":127,"verifyStatus":128,"verifyTime":1135,"verifyNote":130,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1147,"fullTextUrl":18,"authors":1148,"publicationType":151,"publisherRelationship":1179,"citationCount":18,"citationInfo":18,"publishDate":1218,"publishYear":1219,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":1220,"openAccess":18,"references":18,"isForceReanalyzing":198},"da2adce4-bde6-4e44-b3e0-b3395deae6fa","2024-01-24T20:58:10.885+00:00","2025-02-24T13:21:36.648+00:00",[],"What-Goliaths-and-Davids-among-Swiss-firms-tell-us-about-expected-returns-on-Swiss-asset-markets",{"abstract":1139,"title":1141,"references":1143,"doi":1145},{"EN":1140},"Motivated by recent US evidence, we evaluate the predictive power of changes in the weight of large firms in the aggregate stock market (“Goliath vs David” (GVD)) for Swiss stock market returns and bond market returns. Previous research suggests that the asset return dynamics in the US and Switzerland differ markedly. Forecasting Swiss asset returns hence constitutes a challenging “out-of-sample” test for GVD. Over the sample period from January 1999 to December 2017, we find that the Swiss version of GVD exhibits predictive power for Swiss stock and bond market returns even in the presence of global predictors. However, Swiss bond market returns are best predicted by the US term spread.",{"EN":1142},"What Goliaths and Davids among Swiss firms tell us about expected returns on Swiss asset markets",{"VOID":1144},"Ang, A., & Bekaert, B. (2007). Stock return predictability: Is it there?Review of Financial Studies, 20, 651–707.\nBernanke, B., & Gertler, M. (1989). Agency costs, net worth and business cycle fluctuations. American Economic Review, 79, 14–31.\nBoudoukh, J., Richardson, M., Whitelaw, R.F. (2008). The myth of long-horizon predictability. Review of Financial Studies, 21, 1577–1605.\nCampbell, J.Y. (1991). A variance decomposition for stock returns. Economic Journal, 101, 157–179.\nCampbell, J.Y., & Ammer, J. (1993). What moves the stock and bond markets? A variance decomposition for long-term asset returns. Journal of Finance, 48, 3–37.\nCampbell, J.Y., & Shiller, R.J. (1988). The Dividend Price Ratio and Expectations of Future Dividends and Discount Factors. Review of Financial Studies, 1, 195–227.\nCampbell, J.Y., & Thompson, S.B. (2008). Predicting excess returns out of sample: Can anything beat the historical average?Review of Financial Studies, 21, 1509–1521.\nCampbell, J.Y., & Vuolteenaho, T. (2004). Bad beta, good beta. American Economic Review, 94, 1249–1275.\nClark, E.E., & West, K.D. (2007). Approximately normal tests for equal predictive accuracy in nested models. Journal of Econometrics, 105, 85–110.\nCochrane, J.H. (2008). The dog that did not bark: A defense of return predictability. 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