Identification of structural dynamic discrete choice models

Arbeitspapier

This paper presents new identification results for the class of structural dynamic discrete choice models that are built upon the framework of the structural discrete Markov decision processes proposed by Rust (1994). We demonstrate how to semiparametrically identify the deep structural parameters of interest in the case where utility function of one choice in the model is parametric but the distribution of unobserved heterogeneities is nonparametric. The proposed identification method does not rely on the availability of terminal period data and hence can be applied to infinite horizon structural dynamic models. For identification we assume availability of a continuous observed state variable that satisfies certain exclusion restrictions. If such excluded variable is accessible, we show that the structural dynamic discrete choice model is semiparametrically identified using the control function approach.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: cemmap working paper ; No. CWP08/09

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: Diskrete Entscheidung ; Nichtparametrisches Verfahren ; Entscheidungstheorie

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Chen, Le-Yu
• Ereignis: Veröffentlichung
• (wer): Centre for Microdata Methods and Practice (cemmap)
• (wo): London
• (wann): 2009

Weitere Informationen

• DOI: doi:10.1920/wp.cem.2009.0809
• Handle: http://hdl.handle.net/10419/64639
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ