Arbeitspapier

Estimating a semi-parametric duration model without specifying heterogeneity

This paper presents a new estimator for the mixed proportional hazard model that allows for a nonparametric baseline hazard and time-varying regressors. In particular, this paper allows for discrete measurement of the durations as happens often in practice. The integrated baseline hazard and all parameters are estimated at regular rate,square root of N , where N is the number of individuals. A hazard model is a natural framework for time-varying regressors if a flow or a transition probability depends on a regressor that changes with time since a hazard model avoids the curse of dimensionality that would arise from interacting the regressors at each point in time with one another.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 525

Classification
Wirtschaft
Subject
Mixed Proportional Hazard Model
Time-varying regressors
Heterogeneity
Mikroökonometrie
Theorie

Event
Geistige Schöpfung
(who)
Hausman, Jerry A.
Woutersen, Tiemen M.
Event
Veröffentlichung
(who)
The Johns Hopkins University, Department of Economics
(where)
Baltimore, MD
(when)
2005

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Hausman, Jerry A.
  • Woutersen, Tiemen M.
  • The Johns Hopkins University, Department of Economics

Time of origin

  • 2005

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