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Finite mixture models with one exclusion restriction

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  • Christopher P. Adams

Abstract

This paper characterizes the identified set for finite mixture models with one exclusion restriction on the data‐generating process. It provides necessary and sufficient conditions on the observed data for point identification and for when the identified set has measure zero. The results are illustrated in a simulation study and with data from a randomized controlled trial on chemotherapy for colon cancer as well as with data from an observational study used to estimate returns to schooling.

Suggested Citation

  • Christopher P. Adams, 2016. "Finite mixture models with one exclusion restriction," Econometrics Journal, Royal Economic Society, vol. 19(2), pages 150-165, June.
  • Handle: RePEc:wly:emjrnl:v:19:y:2016:i:2:p:150-165
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    File URL: http://hdl.handle.net/10.1111/ectj.12065
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    Cited by:

    1. Yuichi Kitamura & Louise Laage, 2018. "Nonparametric Analysis of Finite Mixtures," Papers 1811.02727, arXiv.org.
    2. Hajimoladarvish , Narges, 2021. "Explaining Heterogeneity in Risk Preferences Using a Finite Mixture Model," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(4), pages 533-554, December.

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