Bayesian Inference in Limited Dependent Variable Models: An Application to Measuring Strike Duration

David DeJong

Journal of Applied Econometrics, 1993, vol. 8, issue 2, 115-28

Abstract: This paper presents a straightforward set of Bayesian techniques for analyzing models involving limited dependent variables; the techniques are demonstrated in an analysis of Kennan's (1985) data on contract strikes in U.S. manufacturing. The data are analyzed by deriving posterior distributions--including probability distributions--of hazard functions for strike durations using numerical Monte Carlo methods. The distributions are employed to derive coverage intervals for hazard functions, to assess the relative plausibility of nonnested hypotheses concerning the shape of the functions, and to assess the impact of industrial production on duration. Copyright 1993 by John Wiley & Sons, Ltd.

Date: 1993
References: Add references at CitEc
Citations:

Downloads: (external link)
http://links.jstor.org/sici?sici=0883-7252%2819930 ... 0.CO%3B2-I&origin=bc full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jae:japmet:v:8:y:1993:i:2:p:115-28

Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252

Access Statistics for this article

Journal of Applied Econometrics is currently edited by M. Hashem Pesaran

More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().