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Business cycle asymmetries: characterisation and testing based on Markov-switching autoregressions
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Clements, Michael P. and Krolzig, Hans-Martin, 1964- (1998) Business cycle asymmetries: characterisation and testing based on Markov-switching autoregressions. Working Paper. University of Warwick, Department of Economics, Coventry.
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Official URL: http://www2.warwick.ac.uk/fac/soc/economics/resear...
Abstract
We propose testing for business cycle asymmetries in Markov-switching autoregressive (MS-AR) models. We derive the parametric restrictions on MS-AR models that rule out types of asymmetries such as deepness, steepness, and sharpness, and set out a testing procedure based on Wald statistics which have standard asymptotics. For a two-regime model, such as that popularised by Hamilton (1989), we show that deepness implies sharpness (and vice versa) while the process is always non-steep. We illustrate with two and three-state MS models of US GNP growth, and with models of US output and employment. Our findings are compared with those obtained from standard non-parametric tests.
| Item Type: | Working or Discussion Paper (Working Paper) |
|---|---|
| Subjects: | H Social Sciences > HF Commerce |
| Divisions: | Faculty of Social Sciences > Economics |
| Library of Congress Subject Headings (LCSH): | Business cycles, Information asymmetry, Markov processes, Autoregression (Statistics) |
| Series Name: | Warwick economic research papers |
| Publisher: | University of Warwick, Department of Economics |
| Place of Publication: | Coventry |
| Date: | 8 December 1998 |
| Number: | No.522 |
| Number of Pages: | 24 |
| Status: | Not Peer Reviewed |
| Access rights to Published version: | Open Access |
| Funder: | Economic and Social Research Council (Great Britain) (ESRC) |
| Grant number: | L116251015 (ESRC) |
| References: | Beaudry, P., and Koop, G. (1993). Do recessions permanently affect output. Journal of Monetary Economics, 31, 149–163. Boldin, M. D. (1996). A check on the robustness of Hamilton’s Markov switching model approach to the economic analysis of the Business Cycle. Studies in Nonlinear Dynamics and Econometrics, 1, 35–46. Burns, A. F., and Mitchell, W. C. (1946). Measuring Business Cycles. New York: NBER. Clements, M. P., and Krolzig, H.-M. (1998). A comparison of the forecast performance of Markovswitching and threshold autoregressive models of US GNP. Econometrics Journal, 1, C47–75. Clements, M. P., and Smith, J. (1998). Evaluating the forecast densities of linear and non-linear models: Applications to output growth and unemployment. mimeo, Department of Economics, University of Warwick. Diebold, F. X., and Rudebusch, G. D. (1996). Measuring business cycles: A modern perspective. The Review of Economics and Statistics, 78, 67–77. Diebold, F. X., Rudebusch, G. D., and Sichel, D. E. (1993). Further evidence on business cycle duration dependence. In Stock, J., andWatson, M. (eds.), Business Cycles, Indicators, and Forecasting, pp. 255–280: Chicago: University of Chicago Press and NBER. Doornik, J. A. (1996). Object-Oriented Matrix Programming using Ox. London: International Thomson Business Press and Oxford: http://www.nuff.ox.ac.uk/Users/Doornik/. Falk, B. (1986). Further evidence on the asymmetric behaviour of economic time series over the business cycle. Journal of Political Economy, 94, 1096–1109. Filardo, A. J. (1994). Business–cycle phases and their transitional dynamics. Journal of Business and Economic Statistics, 12, 299–308. Filardo, A. J., and Gordon, S. F. (1998). Business cycle durations. Journal of Econometrics, 85, 99–123. Gordon, S. (1997). Stochastic trends, deterministic trends, and business cycle turning points. Journal of Applied Econometrics, 12, 411–434. Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57, 357–384. Hamilton, J. D., and Lin, G. (1996). Stock market volatility and the business cycle. Journal of Applied Econometrics, 11, 573–593. Hamilton, J. D. (1990). Analysis of time series subject to changes in regime. Journal of Econometrics, 45, 39–70. Hess, G. D., and Iwata, S. (1995). Measuring Business Cycle Features: University of Kansas, Research Papers in Theoretical and Applied Economics No. 1995-6. Hess, G. D., and Iwata, S. (1997a). Asymmetric persistence in GDP? A deeper look at depth. Journal of Monetary Economics, 40, 535–554. Hess, G. D., and Iwata, S. (1997b). Measuring and comparing business-cycle features. Journal of Business and Economic Statistics, 15, 432–444. Hicks, H. (1950). A contribution to the theory of the trade cycle. Oxford: Clarendon Press. Krolzig, H.-M. (1997). Markov Switching Vector Autoregressions: Modelling, Statistical Inference and Application to Business Cycle Analysis: Lecture Notes in Economics and Mathematical Systems, 454. Springer-Verlag, Berlin. Krolzig, H.-M., and Sensier,M. (1998). A disaggregated Markov-Switching model of the Business Cycle in UK manufacturing. mimeo, Institute of Economics and Statistics, University of Oxford. Krolzig, H.-M., and Toro, J. (1998). A new approach to the analysis of shocks and the cycle in a model of output and employment. Discussion paper, Institute of Economics and Statistics, University of Oxford. McQueen, G., and Thorley, S. (1993). Asymmetric business cycle turning points. Journal of Monetary Economics, 31, 341–362. Mitchell, W. C. (1927). Business Cycles: The Problem and its Setting. New York: National Bureau of Economic Research. Neftci, S. N. (1984). Are economic time series asymmetric over the business cycle?. Journal of Political Economy, 92, 307–328. Pesaran, M. H., and Potter, S. M. (1997). A floor and ceiling model of US Output. Journal of Economic Dynamics and Control, 21, 661–695. Ravn, M. O., and Sola, M. (1995). Stylized facts and regime changes: Are prices procyclical?. Journal of Monetary Economics, 36, 497–526. Sichel, D. E. (1989). Are business cycles asymmetric? A correction. Journal of Political Economy, 97, 1255–1260. Sichel, D. E. (1991). Business cycle duration dependence: A parametric approach. The Review of Economics and Statistics, 73, 254–260. Sichel, D. E. (1993). Business cycle asymmetry. Economic Inquiry, 31, 224–236. Sichel, D. E. (1994). Inventories and the three phases of the business cycle. Journal of Business and Economic Statistics, 12, 269–277. Speight, A. E. H., and McMillan, D. G. (1998). Testing for asymmetries in UK macroeconomic time series. Scottish Journal of Political Economy, 45, 158–170. |
| URI: | http://wrap.warwick.ac.uk/id/eprint/1652 |
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