Unemployment and entrepreneurship: a cyclical relationship?
This paper presents a cyclical model for unemployment and entrepreneurship. The estimated periodicity of the cycles for the US, the UK, Spain and Ireland is between 5 and 10 years, and the orders of integration are smaller (greater) than 1 if the underlying disturbances are autocorrelated (white noise), corresponding to dampen cycles (limit cycle).
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- Evans, David S & Jovanovic, Boyan, 1989. "An Estimated Model of Entrepreneurial Choice under Liquidity Constraints," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 808-27, August.
- Herman J. Bierens, 2000.
"Complex Unit Roots and Business Cycles: Are They Real?,"
Econometric Society World Congress 2000 Contributed Papers
0197, Econometric Society.
- Bierens, Herman J., 2001. "Complex Unit Roots And Business Cycles: Are They Real?," Econometric Theory, Cambridge University Press, vol. 17(05), pages 962-983, October.
- Pfeiffer, Friedhelm & Reize, Frank, 1998.
"Business Start-ups by the Unemployed - an Econometric Analysis Based on Firm Data,"
ZEW Discussion Papers
98-38, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Pfeiffer, Friedhelm & Reize, Frank, 2000. "Business start-ups by the unemployed -- an econometric analysis based on firm data," Labour Economics, Elsevier, vol. 7(5), pages 629-663, September.
- Dalla, Violetta & Hidalgo, Javier, 2005. "A parametric bootstrap test for cycles," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 219-261.
- Garry J. Schinasi, 1981. "A Nonlinear Dynamic Model of Short Run Fluctuations," Review of Economic Studies, Oxford University Press, vol. 48(4), pages 649-656.
- Ignacio N. Lobato & Peter M. Robinson, 1998. "A Nonparametric Test for I(0)," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 475-495.
- Violetta Dalla & Javier Hidalgo, 2005. "A parametric bootstrap test for cycles," LSE Research Online Documents on Economics 6829, London School of Economics and Political Science, LSE Library.
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