Forecasting inflation in Sweden
Tóm tắt
In this paper, we make use of Bayesian VAR (BVAR) models to conduct an out-of-sample forecasting exercise for CPIF inflation, the inflation target variable at the Riksbank in Sweden. The proposed BVAR models generally outperform simple benchmark models, the BVAR model used by the Riksbank as presented in Iversen et al. (Real-time forecasting for monetary policy analysis: the case of Sveriges Riksbank, Working Paper 16/318, Sveriges riksbank, Stockhol, 2016) and professional forecasts made by the National Institute of Economic Research in Sweden. Moreover, the BVAR models proposed in the present paper have better forecasting precision than both survey forecasts and the method suggested by Faust and Wright (in: Elliott, Timmermann (eds) Handbook of forecasting, 2013). The findings in this paper might be of value to analysts, policymakers and forecasters of the inflation in Sweden (and possibly other small open economies alike).
Tài liệu tham khảo
citation_journal_title=Journal of Monetary Economics; citation_title=Do macro variables, asset markets, or surveys forecast inflation better?; citation_author=A Ang, G Bekaert, M Wei; citation_volume=54; citation_publication_date=2007; citation_pages=1163-1212; citation_doi=10.1016/j.jmoneco.2006.04.006; citation_id=CR1
citation_journal_title=Federal Reserve Bank of Minneapolis Quarterly Review; citation_title=Are Phillips curves useful for forecasting inflation?; citation_author=A Atkeson, LE Ohanian; citation_volume=25; citation_publication_date=2001; citation_pages=2-11; citation_id=CR2
citation_journal_title=International Journal of Forecasting; citation_title=Forecasting inflation in an inflation targeting regime: A role for informative steady-state priors; citation_author=M Beechey, P Österholm; citation_volume=26; citation_publication_date=2010; citation_pages=248-264; citation_doi=10.1016/j.ijforecast.2009.10.006; citation_id=CR3
citation_journal_title=Journal of Financial and Quantitative Analysis; citation_title=Term structure, inflation and real activity; citation_author=A Berardi; citation_volume=44; citation_publication_date=2009; citation_pages=987-1011; citation_doi=10.1017/S0022109009990184; citation_id=CR4
citation_journal_title=Review of Quantitative Finance and Accounting; citation_title=Nominal interest rates and stationarity; citation_author=M Cerrato, H Kim, R MacDonald; citation_volume=40; citation_publication_date=2013; citation_pages=741-745; citation_doi=10.1007/s11156-012-0296-x; citation_id=CR5
citation_journal_title=The B.E Journal of Macroeconomics; citation_title=An evaluation of inflation forecasts from surveys using real time data; citation_author=D Croushore; citation_volume=10; citation_publication_date=2010; citation_pages=1-32; citation_doi=10.2202/1935-1690.1677; citation_id=CR6
citation_journal_title=Journal of Business and Economic Statistics; citation_title=Comparing predictive accuracy; citation_author=FX Diebold, RS Mariano; citation_volume=13; citation_publication_date=1995; citation_pages=253-263; citation_id=CR7
Doan, T. A. (1992). RATS Users Manual, version 4.
citation_journal_title=Economic Bulletin; citation_title=Domestic and global drivers of inflation in the euro area; citation_author=; citation_volume=4; citation_issue=2017; citation_publication_date=2017; citation_pages=72-96; citation_id=CR9
Erlandsson, M., & Markowski, A. (2006). The effective exchange rate index KIX—Theory and practice. Working Paper No. 95, National Institute of Economic Research.
citation_journal_title=European Economic Review; citation_title=The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank; citation_author=A Estrella, FS Mishkin; citation_volume=41; citation_publication_date=1997; citation_pages=1375-1401; citation_doi=10.1016/S0014-2921(96)00050-5; citation_id=CR11
citation_journal_title=Journal of Monetary Economics; citation_title=Term-structure forecasts of interest rates, inflation and real returns; citation_author=EF Fama; citation_volume=25; citation_publication_date=1990; citation_pages=59-76; citation_doi=10.1016/0304-3932(90)90045-6; citation_id=CR12
citation_title=Inflation forecasting; citation_inbook_title=Handbook of forecasting; citation_publication_date=2013; citation_pages=2-56; citation_id=CR13; citation_author=J Faust; citation_author=JH Wright; citation_publisher=Elsevier
Borio C., & Filardo, A. (2007). Globalisation and inflation: New cross-country evidence on the global determinants of domestic inflation, BIS Working Papers, No. 227.
citation_journal_title=International Journal of Forecasting; citation_title=Interest rate spreads as predictors of German inflation and business cycles; citation_author=D Ivanova, K Lahiri, F Seitz; citation_volume=16; citation_publication_date=2000; citation_pages=39-58; citation_doi=10.1016/S0169-2070(99)00029-1; citation_id=CR15
Iversen, J., Laséen, S., Lundvall, H. and Söderström, U. (2016). Real-time forecasting for monetary policy analysis: The case of Sveriges Riksbank, Working Paper 16/318, Sveriges riksbank, Stockholm.
Karlsson, S., & Österholm, P. (2018). A note on the stability of the swedish philips curve. Working Paper 6/2018, Örebro University.
citation_journal_title=International Journal of Forecasting; citation_title=An examination of the accuracy of judgmental extrapolation of time series; citation_author=M Lawrence, R Edmundson, M O’Connor; citation_volume=1; citation_publication_date=1985; citation_pages=25-35; citation_doi=10.1016/S0169-2070(85)80068-6; citation_id=CR18
Mikolajun, I., & Lodge, D. (2016). Advanced economy inflation: the role of global factors. Working Paper Series, No. 1948, ECB.
Mossfeldt, M., & Stockhammar, P. (2016). Forecasting Goods and Services Inflation in Sweden. Working Paper No. 146, National Institute of Economic Research.
citation_journal_title=International Journal of Forecasting; citation_title=Diagnostic verification of probability forecasts; citation_author=AH Murphy, RL Winkler; citation_volume=7; citation_publication_date=1992; citation_pages=435-455; citation_doi=10.1016/0169-2070(92)90028-8; citation_id=CR21
Nyman, C. (2010). An indicator of resource utilization. Economic Commentaries 2010 (4), Sveriges Riksbank.
citation_journal_title=Journal of Money, Credit and Banking; citation_title=The passthrough of labor costs to price inflation; citation_author=EV Peneva, JB Rudd; citation_volume=49; citation_publication_date=2017; citation_pages=1777-1802; citation_doi=10.1111/jmcb.12449; citation_id=CR23
citation_title=Phillips curve inflation forecasts; citation_inbook_title=Understanding Inflation and the implications for monetary policy, a phillips curve retrospective; citation_publication_date=2009; citation_pages=101-186; citation_id=CR24; citation_author=JH Stock; citation_author=MW Watson; citation_publisher=MIT Press
citation_journal_title=Economia Politica; citation_title=Do Inflation expectations granger cause inflation?; citation_author=P Stockhammar, P Österholm; citation_volume=35; citation_publication_date=2018; citation_pages=403-431; citation_doi=10.1007/s40888-018-0111-9; citation_id=CR25
citation_journal_title=International Journal of Central Banking; citation_title=Monetary policy with judgment: forecast targeting; citation_author=LEO Svensson; citation_volume=1; citation_publication_date=2005; citation_pages=1-54; citation_id=CR26
Sveriges Riksbank. (2018). “Evaluation of the Riksbank’s Forecasts”, Riksbank Studies, March 2018.
citation_journal_title=Journal of Applied Econometrics; citation_title=Steady-state priors for vector autoregressions; citation_author=M Villani; citation_volume=24; citation_publication_date=2009; citation_pages=630-650; citation_doi=10.1002/jae.1065; citation_id=CR28
citation_title=Interest and prices: Foundations of a theory of monetary policy; citation_publication_date=2003; citation_id=CR29; citation_author=M Woodford; citation_publisher=Princeton University Press
Yellen, J. L. (2017). Inflation, Uncertainty, and Monetary Policy. Speech delivered at the “Prospects for Growth: Reassessing the Fundamentals” 59th Annual Meeting of the National Association for Business Economics, Cleveland, Ohio, September 26.