Panel Seasonal Unit Root Test With An Application for Unemployment Data
AbstractIn this paper the seasonal unit root test of Hylleberg et al. (1990) is generalized to cover a heterogenous panel. The procedure follows the work of Im, Pesaran and Shin (2002). Test statistics are proposed and critical values are obtained by simulations. Moreover, the properties of the tests are analyzed for di®erent deterministic and dynamic specications. Evidence is presented that for a small time dimension the power is slow even for increasing cross section dimension. Therefore, it seems necessary to have a higher time dimension than cross section dimension. The new test is applied for unemployment behaviour in industrialized countries. In some cases seasonal unit roots are detected. However, the null hypotheses of panel seasonal unit roots are rejected. The null hypothesis of a unit root at the zero frequency is not rejected, thereby supporting the presence of hysteresis effects.
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Bibliographic InfoPaper provided by Halle Institute for Economic Research in its series IWH Discussion Papers with number 191.
Date of creation: Jun 2004
Date of revision:
panel seasonal unit root test; IPS-approach; unemployment data;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-10-04 (All new papers)
- NEP-ECM-2005-10-04 (Econometrics)
- NEP-ETS-2005-10-04 (Econometric Time Series)
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- Miguel A. León-Ledesma, 2000. "Unemployment Hysteresis in the US and the EU: a Panel Data Approach," Studies in Economics 0006, Department of Economics, University of Kent.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995.
"Testing for Unit Roots in Heterogeneous Panels,"
Cambridge Working Papers in Economics
9526, Faculty of Economics, University of Cambridge.
- Engle, R. F. & Granger, C. W. J. & Hylleberg, S. & Lee, H. S., 1993. "The Japanese consumption function," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 275-298.
- Peter C.B. Phillips & Hyungsik R. Moon, 1999.
"Linear Regression Limit Theory for Nonstationary Panel Data,"
Cowles Foundation Discussion Papers
1222, Cowles Foundation for Research in Economics, Yale University.
- Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
- Hyllerberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988.
"Seasonal Integration And Cointegration,"
0-88-2, Pennsylvania State - Department of Economics.
- Russell Smyth, 2003. "Unemployment Hysteresis in Australian States and Territories: Evidence from Panel Data Unit Root Tests," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 36(2), pages 181-192.
- Robert M. Kunst & Philip Hans Franses, 2011.
"Testing for Seasonal Unit Roots in Monthly Panels of Time Series,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 73(4), pages 469-488, 08.
- Kunst, R.M. & Franses, Ph.H.B.F., 2009. "Testing for seasonal unit roots in monthly panels of time series," Econometric Institute Research Papers EI 2009-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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