The Empirical Content of Binary Choice Models
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Other versions of this item:
- Debopam Bhattacharya, 2021. "The Empirical Content of Binary Choice Models," Econometrica, Econometric Society, vol. 89(1), pages 457-474, January.
- Debopam Bhattacharya, 2019. "The Empirical Content of Binary Choice Models," Papers 1902.11012, arXiv.org, revised Oct 2020.
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Citations
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Cited by:
- Zheng Fang & Juwon Seo, 2021. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Econometrica, Econometric Society, vol. 89(5), pages 2439-2458, September.
- Lee, Ying-Ying & Bhattacharya, Debopam, 2019.
"Applied welfare analysis for discrete choice with interval-data on income,"
Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
- Lee, Y-Y. & Bhattacharya, D., 2018. "Applied Welfare Analysis for Discrete Choice with Interval-data on Income," Cambridge Working Papers in Economics 1882, Faculty of Economics, University of Cambridge.
- Petri, Henrik, 2023. "Binary single-crossing random utility models," Games and Economic Behavior, Elsevier, vol. 138(C), pages 311-320.
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More about this item
Keywords
Binary choice; general heterogeneity; income effect; utility maximization; integrability/rationalizability; Slutsky inequality; shape-restrictions;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
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