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Testing the Proportional Hazards Assumption in the Presence of Unmeasured Heterogeneity

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  • McCall, Brian P

Abstract

This paper develops a discrete-time hazard model which accounts for unmeasured heterogeneity while allowing the coefficients of the regressors to vary over time. Sufficient conditions for nonparametric identifiability of the unmeasured heterogeneity distribution are derived. Testing for time-varying coefficients in this model is, under suitable conditions, equivalent to testing the proportionality assumption of the underlying continuous-time hazard model. Some Monte Carlo evidence is presented regarding the small-sample properties of this test. As an illustration, these tests are applied to the joblessness durations of displaced workers. Copyright 1994 by John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 9 (1994)
Issue (Month): 3 (July-Sept.)
Pages: 321-34

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Handle: RePEc:jae:japmet:v:9:y:1994:i:3:p:321-34

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Cited by:
  1. Addison, John T. & Portugal, Pedro, 2004. "How does the unemployment insurance system shape the time profile of jobless duration?," Economics Letters, Elsevier, vol. 85(2), pages 229-234, November.
  2. Hess, Wolfgang & Persson, Maria, 2010. "The Duration of Trade Revisited. Continuous-Time vs. Discrete-Time Hazards," Working Papers 2010:1, Lund University, Department of Economics.
  3. Hess, Wolfgang & Persson, Maria, 2010. "Exploring the Duration of EU Imports," Working Papers 2010:4, Lund University, Department of Economics.
  4. Bhattacharjee, A. & Samarjit Das, 2002. "Testing Proportionality in Duration Models with Respect to Continuous Covariates," Cambridge Working Papers in Economics 0220, Faculty of Economics, University of Cambridge.
  5. Bhattacharjee, A. & Higson, C. & Holly, S. & Kattuman, P., 2004. "Business Failure in UK and US Quoted Firms: Impact of Macroeconomic Instability and the Role of Legal Institutions," Cambridge Working Papers in Economics 0420, Faculty of Economics, University of Cambridge.
  6. Fernandes, Ana M. & Paunov, Caroline, 2012. "The risks of innovation : are innovating firms less likely to die ?," Policy Research Working Paper Series 6103, The World Bank.
  7. DesJardins, S. L. & Ahlburg, D. A. & McCall, B. P., 1999. "An event history model of student departure," Economics of Education Review, Elsevier, vol. 18(3), pages 375-390, June.
  8. Christian N. Brinch, 2011. "Non‐parametric identification of the mixed proportional hazards model with interval‐censored durations," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 343-350, 07.
  9. Giovanni Mastrobuoni, 2007. "Do better–informed workers make better retirement choices? A test based on the Social Security Statement," Carlo Alberto Notebooks 51, Collegio Carlo Alberto.
  10. ter Hofstede, Frenkel & Wedel, Michel, 1998. "A Monte Carlo study of time aggregation in continuous-time and discrete-time parametric hazard models," Economics Letters, Elsevier, vol. 58(2), pages 149-156, February.
  11. Darrell J. Glaser & Ahmed S. Rahman, 2012. "Technical Human Capital and Job Mobility in an Era of Rapid Technological Innovation," Departmental Working Papers 37, United States Naval Academy Department of Economics.
  12. Christian N. Brinch, 2008. "Non-parametric Identification of the Mixed Hazards Model with Interval-Censored Durations," Discussion Papers 539, Research Department of Statistics Norway.
  13. Stephen L. DesJardins & Dennis A. Ahlburg & Brian P. McCall, . "The Effects of Interrupted Enrollment on Graduation from College: Racial, Income, and Ability Differences," Working Papers 0505, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
  14. Brinch, Christian N., 2007. "Nonparametric Identification Of The Mixed Hazards Model With Time-Varying Covariates," Econometric Theory, Cambridge University Press, vol. 23(02), pages 349-354, April.
  15. Brinch,C., 2000. "Identification of structural duration dependence and unobserved heterogeneity with time-varying," Memorandum 20/2000, Oslo University, Department of Economics.
  16. Bhat, Chandra R. & Steed, Jennifer L., 2002. "A continuous-time model of departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 207-224, March.

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