Estimating persistence in Canadian unemployment: evidence from a Bayesian ARFIMA
The degree of persistence in aggregate Canadian unemployment is estimated within a Bayesian ARFIMA class of models. The results conclude that unemployment exhibits persistence in the short and intermediate run. The evidence of persistence is stronger than previously reported by Koustas and Veloce (1996). This persistence cast a vital implication regarding disinflation policies, Based on the unemployment rate, these policies will prove very costly in terms of lost output and - if implemented - they considerably lengthen recessions.
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Volume (Year): 38 (2006)
Issue (Month): 15 ()
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- Poirier, Dale J., 1997. "Comparing and choosing between two models with a third model in the background," Journal of Econometrics, Elsevier, vol. 78(2), pages 139-151, June.
- Luis Gil-Alana, 2001. "The persistence of unemployment in the USA and Europe in terms of fractionally ARIMA models," Applied Economics, Taylor & Francis Journals, vol. 33(10), pages 1263-1269.
- Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
- Cogley, Timothy & Nason, James M., 1995.
"Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 19(1-2), pages 253-278.
- Timothy Cogley & James M. Nason, 1993. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series: implications for business cycle research," Working Papers in Applied Economic Theory 93-01, Federal Reserve Bank of San Francisco.
- Sang-Kuck Chung, 2000. "Asymptotics of trend stationary fractionally integrated ARMA models," Applied Economics, Taylor & Francis Journals, vol. 32(12), pages 1509-1514.
- Ossama Mikhail & Curtis Eberwein & Jagdish Handa, 2005. "Testing for persistence in aggregate and sectoral Canadian unemployment," Applied Economics Letters, Taylor & Francis Journals, vol. 12(14), pages 893-898.
- Gary Koop, 1995.
"Bayesian Analysis of Long Memory and Persistence using ARFIMA Models,"
gkoop-95-01, University of Toronto, Department of Economics.
- Koop, Gary & Ley, Eduardo & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 149-169.
- Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., . "Bayesian analysis of long memory and persistence using ARFIMA models," CORE Discussion Papers RP 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- KOOPÂ , Gary & LEYÂ , Eduardo & OSIEWALSKIÂ , Jacek & STEELÂ , MarkÂ , 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," CORE Discussion Papers 1995035, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gary Koop & Eduardo Ley & Jacek Osiewalski & Mark F.J. Steel, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Econometrics 9505001, EconWPA, revised 11 Jul 1995.
- Osiewalski, J. & Steel, M., 1990.
"Robust Bayesian Inference In Elliptical Regression Models,"
9032, Tilburg - Center for Economic Research.
- Osiewalski, Jacek & Steel, Mark F. J., 1993. "Robust bayesian inference in elliptical regression models," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 345-363.
- Osiewalski, J. & Steel, M.F.J., 1990. "Robust Bayesian inference in elliptical regression models," Discussion Paper 1990-32, Tilburg University, Center for Economic Research.
- Lucrezia Reichlin & Peter Rappoport, 1989.
"Segmented trends and non-stationary time series,"
ULB Institutional Repository
2013/10169, ULB -- Universite Libre de Bruxelles.
- Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
- Chung, Ching-Fan & Baillie, Richard T, 1993. "Small Sample Bias in Conditional Sum-of-Squares Estimators of Fractionally Integrated ARMA Models," Empirical Economics, Springer, vol. 18(4), pages 791-806.
- Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
- Min, Chung-ki & Zellner, Arnold, 1993.
"Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates,"
Journal of Econometrics,
Elsevier, vol. 56(1-2), pages 89-118, March.
- Min, C.K. & Zellner, A., 1992. ""Bayesian and Non-Bayesian Methods for Combining Models and Forecasts with Applications to Forecasting International Growth Rates"," Papers 90-92-23, California Irvine - School of Social Sciences.
- Koustas, Z. & Veloce, W., 1994. "Unemployment Hysteresis in Canada: An Approach Based on Long-Memory Time Series Models," Working Papers 1994-5, Brock University, Department of Economics.
- Erhard Reschenhofer & Benedikt M. Pötscher & Michael A. Hauser, 1999. "Measuring persistence in aggregate output: ARMA models, fractionally integrated ARMA models and nonparametric procedures," Empirical Economics, Springer, vol. 24(2), pages 243-269.
- Bauwens, Luc & Lubrano, Michel & Richard, Jean-Francois, 2000. "Bayesian Inference in Dynamic Econometric Models," OUP Catalogue, Oxford University Press, number 9780198773139, July.
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