An Empirical Analysis of Fluctuations in Economic Efficiency in European Countries

Chadwick, Meltem (2010): An Empirical Analysis of Fluctuations in Economic Efficiency in European Countries.

Abstract

This paper analyses fluctuations in the economic efficiency in 15 European countries over more than a period of three decades, between 1970s and 2000s, using movements in the wedge between the marginal rate of substitution between leisure and consumption, and the marginal product of labour as a measure of economic efficiency. The time series measures of economic efficiency constructed for each country reveals that there have been periods of considerable welfare fluctuations in many European countries over this sample and that these movements are associated with cross-correlations to other countries. Furthermore, the results indicate considerable effects of identified monetary shocks in some countries for the within country welfare fluctuations, as well as cross-border welfare fluctuations. In addition, for the years studied, it has been observed that the European countries are far behind from having a common fluctuation within the framework of monetary policy shocks related to output, consumer prices and the exchange rates. The monetary policy shocks of 15 countries are dominated by their own policy cycles.

• Item Type: MPRA Paper
• Language: English
• Keywords: economic efficiency; welfare gap; monetary policy shocks; Bayesian dynamic factor model
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C11 - Bayesian Analysis: General; E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles; E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy; F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F44 - International Business Cycles

References

References Agresti, A. and B. Mojon (2001). Some stylised facts about the euro area business cycle. European Central Bank, Working Paper No:95.

Artis, M., Z. Kontelemis, and D. Osborn (1997). Business cycles for G7 and European countries. Journal of Business 70 (2), 249-279.

Artis, M., H. Krolzig, and J. Toro (2004). The European business cycle. Oxford Economic Papers 56 (1), 1-44.

Artis, M. and W. Zhang (1997). International business cycles and the ERM: Is there a European business cycle? International Journal of Finance and Economics 2, 1-16.

Artis, M. and W. Zhang (1999). Further evidence on the international business cycles and the ERM: Is there a European business cycle? Oxford Economic Papers 51 (1), 120-132.

Backus, D., P. Kehoe, and F. Kydland (1992). International real business cycles. Journal of Political Economy 100 (4), 745-775.

Baxter, M. (1995). International trade and business cycles. Handbook of International Economics 3, 1801-1864.

Baxter, M. and R. King (1999). Measuring business cycles: Approximate band-pass filters for economic time series. Review of Economics and Statistics 81 (4), 575-593.

Bernanke, B. and I. Mihov (1998). Measuring monetary policy. Quarterly Journal of Economics 113 (3), 869-902.

Betts, C. and M. Devereux (2000). Exchange rate dynamics in a model of pricing-to-market. Journal of International Economics 50 (1), 215-244.

Burns, A. and W. Mitchell (1946). Measuring Business Cycles. National Bureau of Economic Research New York.

Chib, S. and E. Greenberg (1994). Bayes inference in regression models with arma(p,q) errors. Journal of Econometrics 64 (1-2), 183-206.

Christiano, L., M. Eichenbaum, and C. Evans (1999). Monetary policy shocks: What have we learned and to what end? Handbook of Macroeconomics, Elsevier, 65-148.

Crucini, M. (1997). Country size and economic fluctuations. Review of International Economics 5 (2), 204-220.

Dornbusch, R., C. Favero, and F. Giavazzi (1998). Immediate challenges for the European Central Bank. Economic Policy 13 (26), 15-64.

Engel, C. (2000). Local-currency pricing and the choice of exchange-rate regime. European Economic Review 44 (8), 1449-1472.

Gali, J., M. Gertler, and J. Lopez-Salido (2007). Markups, gaps, and the welfare costs of business fluctuations. The Review of Economics and Statistics 89 (1), 44-59.

Garratt, A., K. Lee, M. Pesaran, and Y. Shin (2003). A long run structural macroeconometric model of the UK. Economic Journal (487), 412-455.

Gerlach, H. (1988). World business cycles under fixed and flexible exchange rates. Journal of Money, Credit and Banking 20 (4), 621-632.

Geweke, J. (1996). Variable selection and model comparison in regression. Bayesian Statistics 5, 609-620.

Gregory, A., A. Head, and J. Raynauld (1997). Measuring world business cycles. International Economic Review 38 (3), 677-701.

Hall, R. (1997). Macroeconomic fluctuations and the allocation of time. Journal of Labor Economics 15 (1), 223-250.

Killian, L. (2001). Impulse response analysis in vector autoregressions with unknown lag order. Journal of Forecasting 20 (3), 161-179.

Kose, M., C. Otrok, and C. Whiteman (2003). International business cycles: World, region, and country-specific factors. American Economic Review 93 (4), 1216-1239.

Lewis, H. (1986). Union Relative Wage Effects: A Survey. University of Chicago Press.

Lumsdaine, R. and E. Prasad (2003). Identifying the common component of international economic fluctuations: A new approach. Economic Journal 113 (484), 101-127.

Mankiw, N. and R. Reis (2002). Sticky information versus sticky prices: A proposal to replace the new keynesian phillips curve. Quarterly Journal of Economics 117 (4), 1295-1328.

Mojon, B. and G. Peersman (2001). A VAR description of the effects of monetary policy in the individual countries of the Euro area. ECB Working Paper No.92.

Mulligan, C. (2002). A century of labor-leisure distortions. NBER Working Paper, No:8774.

Nickell, S. (1997). Unemployment and labor market rigidities: Europe versus North America. The Journal of Economic Perspectives 11 (3), 55-74.

Norrbin, S. and D. Schlagenhauf (1996). The role of international factors in the business cycle: A multi-country study. Journal of International Economics 40 (1-2), 85-104.

Otrok, C. and C. Whiteman (1998). Bayesian leading indicators: Measuring and predicting economic conditions in Iowa. International Economic Review 39 (4), 997-1014.

Prescott, E. (1986). Theory ahead of business-cycle measurement. In Carnegie Rochester Conference on Series on Public Policy, Volume 25, 11-14.

Rotemberg, J. and M. Woodford (1997). An optimization-based econometric framework for the evaluation of monetary policy. NBER Macroeconomics Annual, 297-346.

Sargent, T. and C. Sims (1977). New Methods in Business Research, Chapter Business Cycle Modeling Without Pretending to Have Too Much a Priori Economic Theory. Federal Reserve Bank of Minneapolis.

Sims, C. (1992). Interpreting the macroeconomic time series facts: The effects of monetary policy. European Economic Review 36 (5), 975-1000.

Stock, J. and M. Watson (1989). New indexes of coincident and leading economic indicators. NBER Macroeconomics Annual 4, 351-394.

Stock, J. and M. Watson (1992). A procedure for predicting recessions with leading indicators: Econometric issues and recent performance. Working Paper WP-92-7, Federal Reserve Bank of Chicago.

Stock, J. and M. Watson (1993). A Procedure for predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience. Business Cycles, Indicators, and Forecasting. Chicago: The University of Chicago Press.

Stockman, A. (1988). Sectoral and national aggregate disturbances to industrial output in seven European countries. Journal of Monetary Economics 21 (2-3), 387-409.

Tanner, M. and W. Wong (1987). The calculation of posterior distributions by data augmentation. Journal of the American Statistical Association 82 (398), 528-540.

Woodford, M. (2001). Imperfect common knowledge and the effects of monetary policy. NBER Working Paper, No:8673.