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Discrete time duration models with group-level heterogeneity

Author

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  • Frederiksen, Anders
  • Honore, Bo E.
  • Hu, Luojia
Abstract
Dynamic discrete choice panel data models have received a great deal of attention. In those models, the dynamics is usually handled by including the lagged outcome as an explanatory variable. In this paper we consider an alternative model in which the dynamics is handled by using the duration in the current state as a covariate. We propose estimators that allow for group specific effect in parametric and semiparametric versions of the model. The proposed method is illustrated by an empirical analysis of job durations allowing for firm level effects.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Frederiksen, Anders & Honore, Bo E. & Hu, Luojia, 2007. "Discrete time duration models with group-level heterogeneity," Journal of Econometrics, Elsevier, vol. 141(2), pages 1014-1043, December.
  • Handle: RePEc:eee:econom:v:141:y:2007:i:2:p:1014-1043
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    1. Lisa M. Lynch, 1992. "Differential Effects of Post-School Training on Early Career Mobility," NBER Working Papers 4034, National Bureau of Economic Research, Inc.
    2. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    3. Songnian Chen, 2002. "Rank Estimation of Transformation Models," Econometrica, Econometric Society, vol. 70(4), pages 1683-1697, July.
    4. Frederiksen, Anders & Honore, Bo E. & Hu, Luojia, 2007. "Discrete time duration models with group-level heterogeneity," Journal of Econometrics, Elsevier, vol. 141(2), pages 1014-1043, December.
    5. Manski, Charles F, 1987. "Semiparametric Analysis of Random Effects Linear Models from Binary Panel Data," Econometrica, Econometric Society, vol. 55(2), pages 357-362, March.
    6. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-1149, September.
    7. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
    8. Alban Thomas, 2002. "Consistent estimation of discrete-choice models for panel data with multiplicative effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D6-2, International Conferences on Panel Data.
    9. Francine D. Blau & Lawrence M. Kahn, 1981. "Race and Sex Differences in Quits by Young Workers," ILR Review, Cornell University, ILR School, vol. 34(4), pages 563-577, July.
    10. Han, Aaron K., 1987. "Non-parametric analysis of a generalized regression model : The maximum rank correlation estimator," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 303-316, July.
    11. Patricia M. Anderson & Bruce D. Meyer, 1994. "The Extent and Consequences of Job Turnover," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 25(1994 Micr), pages 177-248.
    12. Royalty, Anne Beeson, 1998. "Job-to-Job and Job-to-Nonemployment Turnover by Gender and Education Level," Journal of Labor Economics, University of Chicago Press, vol. 16(2), pages 392-443, April.
    13. repec:pri:indrel:dsp018049g506t is not listed on IDEAS
    14. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-531, May.
    15. Khan, Shakeeb & Tamer, Elie, 2007. "Partial rank estimation of duration models with general forms of censoring," Journal of Econometrics, Elsevier, vol. 136(1), pages 251-280, January.
    16. Light, Audrey & Ureta, Manuelita, 1992. "Panel Estimates of Male and Female Job Turnover Behavior: Can Female Nonquitters Be Identified?," Journal of Labor Economics, University of Chicago Press, vol. 10(2), pages 156-181, April.
    17. Anders Frederiksen, 2004. "Explaining Individual Job Separations in a Segregated Labor Market," Working Papers 869, Princeton University, Department of Economics, Industrial Relations Section..
    18. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    19. Abrevaya, Jason, 1999. "Leapfrog estimation of a fixed-effects model with unknown transformation of the dependent variable," Journal of Econometrics, Elsevier, vol. 93(2), pages 203-228, December.
    20. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    21. Honore, Bo E. & Powell, James L., 1994. "Pairwise difference estimators of censored and truncated regression models," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 241-278.
    22. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140, National Bureau of Economic Research, Inc.
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    Cited by:

    1. García Pérez, J. Ignacio, 2008. "Unemployment duration among immigrants and natives: unobserved heterogeneity in a multi-spell duration model," UC3M Working papers. Economics we086933, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Hafner, Christian M. & Preminger, Arie, 2015. "A note on the Tobit model in the presence of a duration variable," Economics Letters, Elsevier, vol. 126(C), pages 47-50.
    3. Nakashima, Kiyotaka & Takahashi, Koji, 2020. "The time has come for banks to say goodbye: New evidence on bank roles and duration effects in relationship terminations," Journal of Banking & Finance, Elsevier, vol. 115(C).
    4. Frederiksen, Anders, 2015. "Job Satisfaction and Employee Turnover: A Firm-level Perspective," CEI Working Paper Series 2015-4, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    5. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021. "Sufficient statistics for unobserved heterogeneity in structural dynamic logit models," Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
    6. Picchio, Matteo, 2012. "Lagged duration dependence in mixed proportional hazard models," Economics Letters, Elsevier, vol. 115(1), pages 108-110.
    7. Frederiksen, Anders & Halliday, Timothy J. & Koch, Alexander K., 2010. "What Do We Work For? An Anatomy of Pre- and Post-Tax Earnings Growth," IZA Discussion Papers 5298, Institute of Labor Economics (IZA).
    8. Hausman, Jerry A. & Woutersen, Tiemen, 2014. "Estimating a semi-parametric duration model without specifying heterogeneity," Journal of Econometrics, Elsevier, vol. 178(P1), pages 114-131.
    9. Mark Andrew, 2012. "The Changing Route to Owner-occupation: The Impact of Borrowing Constraints on Young Adult Homeownership Transitions in Britain in the 1990s," Urban Studies, Urban Studies Journal Limited, vol. 49(8), pages 1659-1678, June.
    10. Raquel Carrasco & José Ignacio García Pérez, 2010. "Unobserved Heterogeneity in Multi-Spell Discrete Time Duration Models," Working Papers 10.11, Universidad Pablo de Olavide, Department of Economics.
    11. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    12. Bernauer, Thomas & Kalbhenn, Anna & Koubi, Vally & Ruoff, Gabriele, 2008. "Globalization, Political Regimes and International Environmental Commitment," Proceedings of the German Development Economics Conference, Zurich 2008 1, Verein für Socialpolitik, Research Committee Development Economics.
    13. Boris Hirsch & Claus Schnabel, 2012. "Women Move Differently: Job Separations and Gender," Journal of Labor Research, Springer, vol. 33(4), pages 417-442, December.
    14. Basu, Deepankar & de Jong, Robert, 2009. "A note on binary choice duration models," Economics Letters, Elsevier, vol. 102(1), pages 17-18, January.
    15. Frederiksen, Anders & Honore, Bo E. & Hu, Luojia, 2007. "Discrete time duration models with group-level heterogeneity," Journal of Econometrics, Elsevier, vol. 141(2), pages 1014-1043, December.
    16. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
    17. Bo E. Honoré & Aureo de Paula, 2009. ""Interdependent Durations" Third Version," PIER Working Paper Archive 09-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Feb 2008.
    18. Thomas Cornelißen & Olaf Hübler, 2011. "Unobserved Individual and Firm Heterogeneity in Wage and Job‐Duration Functions: Evidence from German Linked Employer–Employee Data," German Economic Review, Verein für Socialpolitik, vol. 12(4), pages 469-489, November.
    19. Bo E. Honor & Áureo De Paula, 2010. "Interdependent Durations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1138-1163.
    20. Kang, Munsu & Schwab, Benjamin & Yu, Jisang, 2020. "Gender differences in the relationship between land ownership and managerial rights: Implications for intrahousehold farm labor allocation," World Development, Elsevier, vol. 125(C).
    21. Bo E. Honore & Aureo de Paula, 2007. "Interdependent Durations, Second Version," PIER Working Paper Archive 08-044, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Nov 2008.

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