The identification and economic content of ordered choice models with stochastic thresholds
成果类型:
Article; Proceedings Paper
署名作者:
Cunha, Flavio; Heckman, James J.; Navarro, Salvador
署名单位:
University of Chicago; University of Pennsylvania; University College Dublin; University of Wisconsin System; University of Wisconsin Madison
刊物名称:
INTERNATIONAL ECONOMIC REVIEW
ISSN/ISSBN:
0020-6598
DOI:
10.1111/j.1468-2354.2007.00462.x
发表日期:
2007
页码:
1273-1309
关键词:
competition
摘要:
This article extends the widely used ordered choice model by introducing stochastic thresholds and interval-specific outcomes. The model can be interpreted as a generalization of the GAFT (MPH) framework for discrete duration data that jointly models durations and outcomes associated with different stopping times. We establish conditions for nonparametric identification. We interpret the ordered choice model as a special case of a general discrete choice model and as a special case of a dynamic discrete choice model.
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