A note on the Weibull distribution and time ag gregation bias
The application of continuous time Weibull models on discrete unemployment duration data may result in severely biased baseline estimates. The bias can be substantial even for weekly duration data, and it is seriously aggravated if the Weibull model is erroneously mixed with a Gamma distribution for unobserved heterogeneity.
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|Date of creation:||2000|
|Date of revision:|
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- Narendranathan, W. & Stewart, M.B., 1989. "Modelling The Probability Of Leaving Unemployment: Competing Risks Models With Flexible Baseline Hazards," The Warwick Economics Research Paper Series (TWERPS) 331, University of Warwick, Department of Economics.
- Aaberge, Rolf, 1996. "Unemployment duration models with non-stationary inflow and unobserved heterogeneity," Ricerche Economiche, Elsevier, vol. 50(2), pages 163-172, June.
- Bergstrom, R & Edin, P-A, 1992.
"Time Aggregation and the Distributional Shape of Unemployment Duration,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 7(1), pages 5-30, Jan.-Marc.
- Edin, P.A. & Bergstrom, R., 1991. "Time aggregation and the Distributional Shape of Unemployment Duration," Papers 1991u, Uppsala - Working Paper Series.
- Knut Roed & Oddbjorn Raaum & Harald Goldstein, 1999. "Does unemployment cause unemployment? Micro evidence from Norway," Applied Economics, Taylor & Francis Journals, vol. 31(10), pages 1207-1218.
- Bruce D. Meyer, 1988.
"Unemployment Insurance And Unemployment Spells,"
NBER Working Papers
2546, National Bureau of Economic Research, Inc.
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