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Flexible parametric estimation of duration and competing risk models
Abstract
In this paper we specify and estimate a flexible parametric proportional hazards model. The model specification is flexibly parametric in the sense that the baseline hazard is non parametric while the effect of the covariates takes a particular functional form. We also add parametric heterogeneity to the underlying hazard model specification. We specify a flexible parametric proportional competing risks model which permits unrestricted correlation among the risks. Unemployment duration data are then analysed using the flexible parametric duration and competing risks specifications. We find an important effect arising from the exhaustion of unemployment insurance and significantly different hazards for the two types of risks, new jobs and recalls.
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Citations
Cited by
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Easy Estimation Methods for Discrete‐Time Duration Models
Jenkins, S. P. (1995) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.1995.tb00031.x · Cited by 892
Medical Innovation Revisited: Social Contagion versus Marketing Effort
Van den Bulte, C., & Lilien, G. L. (2001) · American Journal of Sociology · doi:10.1086/320819 · Cited by 631
Inference on Counterfactual Distributions
(2013) · Econometrica · doi:10.3982/ecta10582 · Cited by 601
A matter of life and death: innovation and firm survival
Cefis, E. (2005) · Industrial and Corporate Change · doi:10.1093/icc/dth081 · Cited by 508
Metadata
- Authors
- Han, A., & Hausman, J. A.
- Venue
- Journal of Applied Econometrics
- Publisher
- Wiley
- Published
- 1990-01
- Volume
- 5
- Issue
- 1
- Pages
- 1-28
- ISSN
- 0883-7252 (ISSN-L)
- 1099-1255
- OpenAlex
- W2069597205
- Cited by
- 619
- References
- 0
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Flexible parametric estimation of duration and competing risk models. https://app.cochat.ai/papers/10.1002/jae.3950050102
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- Han, A., & Hausman, J. A. (1990). Flexible parametric estimation of duration and competing risk models. Journal of Applied Econometrics. https://doi.org/10.1002/jae.3950050102
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
