Accounting for Expectational and Structural Error in Binary Choice Problems: A Moment Inequality Approach
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Cited by:
- Ho, Kate & Rosen, Adam M., 2015.
"Partial Identification in Applied Research: Benefits and Challenges,"
CEPR Discussion Papers
10883, C.E.P.R. Discussion Papers.
- Kate Ho & Adam Rosen, 2016. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 45/16, Institute for Fiscal Studies.
- Kate Ho & Adam Rosen, 2016. "Partial identification in applied research: benefits and challenges," CeMMAP working papers CWP45/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
- Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
- Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers CWP64/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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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
- F14 - International Economics - - Trade - - - Empirical Studies of Trade
- L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2013-10-02 (Econometrics)
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