Another look at productivity growth in industrialized countries

Adelman D (2022) An efficient frontier approach to scoring and ranking hospital performance. Operations Res 68:762–792 Apon AW, Ngo LB, Payne ME, Wilson PW (2015) Assessing the effect of high performance computing capabilities on academic research output. Empirical Econ 48:283–312 Badunenko O, Henderson DJ, Houssa R (2014) Significant drivers of growth in Africa. J Prod Anal 42:339–354 Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30:1078–1092 Boissoa D, Grosskopf S, Hayes K (2000) Productivity and efficiency in the US: effects of business cycles and public capital. Regional Sci Urban Econ 30:663–681 Bou-Hamad I, Anouze AL, Osman IH (2022) A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information. Ann Operat Res 308:63–92 Caves DW, Christensen LR, Diewert WE (1982) The economic theory of index numbers and the measurement of input, output and productivity. Econometrica 50:1393–1414 Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Operat Res 2:429–444 Charnes A, Cooper WW, Rhodes E (1981) Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through. Manag Sci 27:668–697 Chen C-M, Delmas MA (2012) Measuring eco-inefficiency: a new frontier approach. Operat Res 60:1064–1079 Chen C-M, Zhu J (2011) Efficient resource allocation via efficiency bootstraps: an application to R&D project budgeting. Operat Res 59:729–741 Chiu C-R, Chang M-C, Hu J-L (2022) Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries. J Product Anal 57:297–311 Cook WD, Zhu J (2011) Multiple variable proportionality in data envelopment analysis. Operat Res 59:1023–1032 Daraio C, Simar L, Wilson PW (2018) Central limit theorems for conditional efficiency measures and tests of the ‘separability condition’ in non-parametric, two-stage models of production. Econom J 21:170–191 Daraio C, Simar L, Wilson PW (2021) Quality as a latent heterogeneity factor in the efficiency of universities. Econ Modell 99:105485 Domazlicky BR, Weber WL (1997) Total factor productivity in the contiguous United States, 1977–1986. J Regional Sci 37:213–233 Färe R. Fundamentals of Production Theory (Springer-Verlag, Berlin, 1988). Färe R, Grosskopf S, Lindgren B, Roos P (1992) Productivity changes in Swedish pharmacies 1980–1989: a non-parametric Malmquist approach. J Product Anal 3:85–101 Färe R, Grosskopf S, Lovell CAK. The Measurement of Efficiency of Production (Kluwer-Nijhoff Publishing, Boston, 1985). Färe R, Grosskopf S, Norris M (1997) Productivity growth, technical progress, and efficiency change in industrialized countries: Reply. Am Econ Rev 87:1040–1043 Färe R, Grosskopf S, Norris M, Zhang Z (1994) Productivity growth, technical progress, and efficiency change in industrialized countries. Am Econ Rev 84:66–83 Farrell MJ (1957) The measurement of productive efficiency. J R Stat Soc A 120:253–281 Feenstra RC, Inklaar R, Timmer MP (2015) The next generation of the penn world table. Am Econ Rev 105:3150–3182 Gerami J, Mozaffari MR, Wanke PF, Correa HL (2022) Improving information reliability of non-radial value efficiency analysis: an additive slacks based measure approach. Eur J Operat Res 298:967–978 Gilbert A, Wilson PW (1998) Effects of deregulation on the productivity of Korean banks. J Econ Bus 50:133–155 Henriques CO, Neves ME, Castelão L, Nguyen DK (2022) Assessing the performance of exchange traded funds in the energy sector: a hybrid DEA multiobjective linear programming approach. Ann Operat Res 313:341–365 Hiriart-Urruty J, Lemaréchal C. Convex Analysis and Minimization Algorithms I (Springer-Verlag GmbH, Berlin, 1993). Hu S, Kim HH. Research on urban innovation efficiency of Guangdong-Hong Kong-Macao Greater Bay Area based on DEA-Malmquist model Published online, 22 February 2022. Available at https://doi.org/10.1007/s10479-022-04577-8 (2022). Jeon BM, Sickles RC (2006) The role of environmental factors in growth accounting. J Appl Econom 19:567–591 Johnson AL, McGinnis LF (2009) The hyperbolic-oriented efficiency measure as a remedy to infeasibility of super efficiency models. J Operat Res Soc 60:1511–1517 Kalinichenko O, Amado CAF, Santos SP (2022) Exploring the potential of data envelopment analysis for enhancing pay-for-performance programme design in primary health care. Eur J Operat Res 298:1084–1100 Kneip A, Simar L, Wilson PW (2008) Asymptotics and consistent bootstraps for DEA estimators in non-parametric frontier models. Econom Theory 24:1663–1697 Kneip A, Simar L, Wilson PW (2011) A computationally efficient, consistent bootstrap for inference with nonparametric DEA estimators. Comput Econ 38:483–515 Kneip A, Simar L, Wilson PW (2015) When bias kills the variance: central limit theorems for DEA and FDH efficiency scores. Econom Theory 31:394–422 Kneip A, Simar L, Wilson PW (2016) Testing hypotheses in nonparametric models of production. J Bus Econ Stat 34:435–456 Kneip A, Simar L, Wilson PW (2021) Inference in dynamic, nonparametric models of production: central limit theorems for Malmquist indices. Econom Theory 37:537–572 Kneip A, Simar L, Wilson PW (2022) Conical FDH estimators of general technologies, with applications to returns to scale and Malmquist productivity indices LIDAM Discussion Paper ISBA 2022/24; available at http://hdl.handle.net/2078.1/264666. Korostelev A, Simar L, Tsybakov AB (1995) Efficient estimation of monotone boundaries. Ann Stat 23:476–489 Korostelev A, Simar L, Tsybakov AB (1995) On estimation of monotone and convex boundaries. Publications de l’Institut de Statistique de l’Université de Paris XXXIX 1:3–18 Kumar S, Russell R (2002) Technological change, technological catch-up, and capital deepening: relative contributions to growth and convergence. Am Econ Rev 92:527–548 Le TL, Lee P-P, Peng KC, Chung RH (2019) Evaluation of total factor productivity and environmental efficiency of agriculture in nine East Asian countries. Agric Econ 65:249–258 Lovell CAK (2003) The decomposition of Malmquist productivity indexes. J Product Anal 20:437–458 Malmquist S (1953) Index numbers and indifference surfaces. Trabajos de Estatística y de Investigación Operativa 4:209–242 Mendelová V (2022) Decomposition of technical efficiency under fixed proportion technologies: an application of data envelopment analysis. J Product Anal 57:1–22 Naderi A (2022) Efficiency measurement of higher education units using multilevel frontier analysis. J Product Anal 57:79–92 O’Loughlin CT, Wilson PW (2021) Benchmarking the performance of U.S. municipalities. Empir Econ 60:2665–2700 Pachar N, Darbari JD, Govindan K, Jha PC (2022) Sustainable performance measurement of indian retail chain using two-stage network DEA. Ann Operat Res 315:1477–1515 Podinovski VV, Bouzdine-Chameeva T (2013) Weight restrictions and free production in data envelopment analysis. Operat Res 61:426–437 Radovanović S, Savi c G, Delibašić B, Suknović M (2022) FairDEA-removing disparate impact from efficiency scores. Eur J Operat Res 301:1088–1098 Ray SC (2001) On an extended decomposition of the Malmquist productivity index Unpublished working paper, Department of Economics, University of Connecticut. Ray SC, Desli E (1997) Productivity growth, technical progress, and efficiency change in industrialized countries: comment. Am Econ Rev 87:1033–1039 Russell RR. Theoretical productivity indices. In Grifell-Tatjé E, Lovell CAK, Sickles RC (eds.) The Oxford Handbook of Productivity Analysis, 101–138 (Oxford University Press, New York, 2018). Şahin B, İlgün G (2019) Assessment of the impact of public hospital associations (PHAs) on the efficiency of hospitals under the ministry of health in Turkey with data envelopment analysis. Health Care Manag Sci 22:437–446 Sarac SB, Atici KB, Ulucan A (2022) Elasticity measurement on multiple levels of DEA frontiers: an application to agriculture. J Product Anal 57:313–324 Shephard RW. Theory of Cost and Production Functions (Princeton University Press, Princeton, 1970). Simar L, Wilson PW (1998) Productivity growth in industrialized countries Discussion Paper #9810, Institut de Statistique, Université Catholique de Louvain, Louvain-la-Neuve, Belgium. Simar L, Wilson PW (1998) Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models. Manag Sci 44:49–61 Simar L, Wilson PW (1999) Estimating and bootstrapping Malmquist indices. Eur J Operat Res 115:459–471 Simar L, Wilson PW (2011) Inference by the m out of n bootstrap in nonparametric frontier models. J Product Anal 36:33–53 Simar L, Wilson PW (2019) Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices. Eur J Operat Res 277:756–769 Simar L, Wilson PW. New tools for evaluating the performance of health-care providers using dea and fdh estimators. In Grosskopf, S., Valdmanis, V. & Zelenyuk, V. (eds.) The Cambridge Handbook of Productivity, Efficiency & Effectivenss in Health Care (Cambridge University Press, Cambridge, UK, 2023). Forthcoming. Simar L, Wilson PW (2023) Nonparametric, stochastic frontier models with multiple inputs and outputs. J Bus Econ Stat. Forthcoming. Spanos A. Probability Theory and Statistical Inference: Econometric Modeling with Observational Data (Cambridge University Press, Cambridge, 2019). Summers R, Heston A (1991) The penn world table (mark 5): an expanded set of international comparisons, 1950–1987. Quarterly J Econ 106:1–41 Taleba M, Khalidb R, Ramlib R, Ghasemi MR, Ignatius J (2022) An integrated bi-objective data envelopment analysis model for measuring returns to scale. Eur J Operat Res 296:967–979 Walheer B (2022) Global Malmquist and cost Malmquist indexes for group comparison. J Product Anal 58:75–93 Wheelock DC, Wilson PW (1999) Technical progress, inefficiency, and productivity change in U. S. banking, 1984–1993. J Money Credit Banking 31:212–234 Wilson PW (2008) FEAR: a software package for frontier efficiency analysis with R. Socio-Econ Planning Sci 42:247–254 Wilson PW. Asymptotic properties of some non-parametric hyperbolic efficiency estimators. In Van Keilegom I, Wilson PW (eds.) Exploring Research Frontiers in Contemporary Statistics and Econometrics, 115–150 (Springer-Verlag, Berlin, 2011). Wilson PW, Zhao S. Investigating the performance of Chinese banks over 2007–2014. Ann Operat Res. Online publication avaialble at https://doi.org/10.1007/s10479-022-04925-8 (2022). Yu M-M, Seeb KF, Hsiao B (2022) Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units. Eur J Operat Res 301:254–276 Zhang Z, Liao H (2022) A stochastic cross-efficiency DEA approach based on the prospect theory and its application in winner determination in public procurement tenders Published online, 24 February 2022. Available at https://doi.org/10.1007/s10479-022-04539-0. Zofío JL, Lovell CAK (2001) Graph efficiency and productivity measures: an application to US agriculture. Appl Econ 33:1433–1442