Count data models with unobserved heterogeneity: An empirical likelihood approach
Year of publication: |
2007
|
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Authors: | Boes, Stefan |
Publisher: |
Zurich : University of Zurich, Socioeconomic Institute |
Subject: | Konsumentenverhalten | Theorie | Nichtparametrisches Verfahren | Monte-Carlo-Methode | Zähldatenmodell | Schätzung | Zigarette | nonparametric likelihood | poisson model | nonlinear instrumental variables | optimal instruments | approximating functions | semiparametric efficiency |
Series: | Working Paper ; 0704 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 52897033X [GVK] hdl:10419/76239 [Handle] |
Classification: | C14 - Semiparametric and Nonparametric Methods ; C25 - Discrete Regression and Qualitative Choice Models ; D12 - Consumer Economics: Empirical Analysis |
Source: |
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Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach
Boes, Stefan, (2007)
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Count data models with unobserved heterogeneity : an empirical likelihood approach
Boes, Stefan, (2007)
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