Ferrara, Laurent (2006): A real-time recession indicator for the Euro area.
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In this paper, we propose a new coincident monthly indicator to detect in real-time the start and the end of an economic recession phase for the Euro area. In this respect, we use the methodology proposed in Anas and Ferrara (2002, 2004) as regards the recession indicator for the US, based on Markov-Switching processes popularized in economics by Hamilton (1989). By using a set of four monthly time series, we show that this start-end recession indicator (SERI) is able to reproduce all the recession phases experienced by the Euro area since 1970. Concerning the last low phase of the growth cycle in the Euro area, started in 2001, empirical results show that the Euro area experienced a « quasi-recession » phase, located between the end of the 2001 year and the beginning of 2002, without a global recession. This is due to a lack of diffusion of this phenomena among the main Eurozone countries, though it was synchronized.
|Item Type:||MPRA Paper|
|Institution:||Centre d'Observation Economique|
|Original Title:||A real-time recession indicator for the Euro area|
|Keywords:||Recession; real-time; probabilistic indicator; Euro area|
|Subjects:||C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles
C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models
|Depositing User:||Laurent Ferrara|
|Date Deposited:||13. Jul 2007|
|Last Modified:||16. Mar 2015 22:41|
Anas, J. and L. Ferrara, 2002, Un indicateur d’entrée et sortie de récession : Application aux Etats Unis, Document de travail No. 58, Centre d’Observation Economique. Anas, J. and L. Ferrara, 2004, Turning points detection : The ABCD approach and two probabilistic indicators , Journal of Business Cycle Measurement and Analysis, 1, 2, 1-36. Anas, J., M. Billio, L. Ferrara and M. LoDuca, 2003, A turning point chronology for the Euro-zone classical and growth cycle, Eurostat Working Paper, to appear in Growth and Cycle in the Euro-zone, G.-L. Mazzi and G. Savio (eds.), Palgrave MacMillan, New York. Bengoechea, P. and G. Perez-Quiros, A useful tool to identify recessions in the Euro-area, Economic Papers, No. 215, European Commission. Box, G.E. and Tiao, G.C., 1975, Intervention analysis with applications to economic and environmental problems, Journal of the American Statistical Association, 70, 70-79. Breunig , R. and A. Pagan, 2001, Some simple methods for assessing Markov Switching models, mimeo, Australian National University. Burns A. F. and W. C. Mitchell, 1946, Measuring Business Cycles (NBER, Columbia University Press). Camacho, M., G. Perez-Quiros and L. Saiz, 2005, Do European business cycle look like one ?, Working Paper, EABCN Network. Centre for Economic Policy Research, 2003, Euro area business dating committee, Press release, September 22. Clements, M.P., and H.M. Krolzig, 2003, Business cycle asymmetries: characterization and testing based on Markov-Switching autoregressions, Journal of Business and Economic Statistics, 21, 1, 196-211. Chauvet, M. and J.M. Piger, 2003, Identifying business cycle turning points in real time, Review of the Federal Reserve Bank of St. Louis, March/April, 47-61. Ferrara, L., 2003, A three-regime real-time indicator for the US economy, Economics Letters, 81, 3, 373-378. Ferrara, L., 2005, Point and interval nowcasts of the Euro area IPI, to appear in Applied Economics Letters. Garcia, R., 1998, Asymptotic null distribution of the likelihood ratio test in Markov-Switching models, International Economic Review 39, 763-788. Grasmann, P. et P. Keereman, 2001, An indicator-based short-term forecast for quarterly GDP in the Euro area, Economic Paper No. 154, European Commission. Hamilton, J. D., 1989, A new approach to the economic analysis of non-stationary time series and the business cycle, Econometrica, 57, 2, 357-384. Hamilton J. D., 1994, Time Series Analysis, Princeton University Press, Princeton. Hamilton, J. D., 1996, Specification testing in Markov-switching time series models, Journal of Econometrics 70, 127-157. Hansen, B.E., 1992, The likelihood ratio test under non-standard conditions: Testing the Markov trend model of GNP, Journal of Applied Econometrics 7, supplement: S61-S82. Hansen, B.E., 1996, Erratum: The likelihood ratio test under non-standard conditions: Testing the Markov trend model of GNP, Journal of Applied Econometrics 11, 195-198. Krolzig, H. M., 1997, Markov-Switching Vector Autoregressions. Modelling, Statistical Inference and Applications to Business Cycle Analysis, Springer, Berlin. Krolzig, H. M. and J. Toro, 1999, A new approach to the analysis of shocks and the cycle in a model of output and employment, European University Institute, Working paper ECO, n° 99-30. Ladiray, D. and G.-L. Mazzi, 2002, The use of economic conditions surveys in economic analysis and modelling, Proceedings of Statistics Canada Symposium 2002. Layton, A.P. and D. Smith, 2000, Further on the three phases of the US business cycle, Applied Economics, 32, 1133-1143. Mönch, E. and H. Uhlig, 2005, Towards a monthly business cycle chronology for the Euro area, Journal of Business Cycle Measurement and Analysis , 2, 1, 43-49. NBER, 2003, Business Cycle Dating Committee, Report, July 17, 2003 (www.nber.org/cycles). Perron, P., 1997, Further evidence on breaking trend functions in macroeconomic variables, Journal of Econometrics, 80, 355-385. Sédillot, F., and N. Pain, 2005, Indicator models of real GDP growth in the major OECD countries, OECD Economic Studies, No 40, 2005/1, 167-217. Sichel, D.E., 1994, Inventories and the three phases of the business cycle, Journal of Business and Economic Statistics, 12, 269-277. Stock, J. and M. Watson, 2003, How did leading indicator forecasts perform during the 2001 recession ?, Economic Quarterly, Federal Reserve Bank of Richmond, 89, 3, 71-90.