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Nonparametric identification and estimation with non-classical errors-in-variables
Evdokimov, Kirill S.; Zeleneev, Andrei - 2024
This paper considers nonparametric identification and estimation of the regression function when a covariate is mismeasured. The measurement error need not be classical. Employing the small measurement error approximation, we establish nonparametric identification under weak and...
Persistent link: https://www.econbiz.de/10014581847
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Inference for rank-rank regressions
Chetverikov, Denis N.; Wilhelm, Daniel - 2023
Slope coefficients in rank-rank regressions are popular measures of intergenerational mobility, for instance in regressions of a child's income rank on their parent's income rank. In this paper, we first point out that commonly used variance estimators such as the homoskedastic or robust...
Persistent link: https://www.econbiz.de/10014480485
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Identification region of the potential outcome distributions under instrument independence
Kitagawa, Toru - 2009
This paper examines identification power of the instrument exogeneity assumption in the treatment effect model. We derive the identification region: The set of potential outcome distributions that are compatible with data and the model restriction. The model restrictions whose identifying power...
Persistent link: https://www.econbiz.de/10010288420
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Semiparametric structural models of binary response: Shape restrictions and partial identification
Chesher, Andrew - 2011
The paper studies the partial identifying power of structural single equation threshold crossing models for binary responses when explanatory variables may be endogenous. The paper derives the sharp identified set of threshold functions for the case in which explanatory variables are discrete...
Persistent link: https://www.econbiz.de/10010288364
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Instrumental variable models for discrete outcomes
Chesher, Andrew - 2009
Single equation instrumental variable models for discrete outcomes are shown to be set not point identifying for the structural functions that deliver the values of the discrete outcome. Identified sets are derived for a general nonparametric model and sharp set identification is demonstrated....
Persistent link: https://www.econbiz.de/10010288441
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The bunching estimator cannot identify the taxable income elasticity
Blomquist, Soren; Newey, Whitney K. - 2017
can get an estimate of the taxable income elasticity from the bunching pattern around a kink point. The bunching estimator …Saez (2010) introduced an influential estimator that has become known as the bunching estimator. Using this method one … has become popular, with a large number of papers applying the method. In this paper, we show that the bunching estimator …
Persistent link: https://www.econbiz.de/10011941495
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Identification in a binary choice panel data model with a predetermined covariate
Bonhomme, Stéphane; Dano, Kevin; Graham, Bryan S. - 2023
We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a covariate sequentially exogenous conditional on lagged outcomes and covariates). The choice model is indexed by a scalar parameter θ, whereas the distribution of unit-specific...
Persistent link: https://www.econbiz.de/10014480540
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Intersection bounds: Estimation and inference
Chernozhukov, Victor; Lee, Sokbae; Rosen, Adam - 2012
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially infinite constraint set. We show that...
Persistent link: https://www.econbiz.de/10010318689
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Intersection bounds: Estimation and inference
Chernozhukov, Victor; Lee, Sokbae; Rosen, Adam M. - 2011
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially infinite constraint set. Our approach is...
Persistent link: https://www.econbiz.de/10010288330
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Intersection bounds: Estimation and inference
Chernozhukov, Victor; Lee, Sokbae; Rosen, Adam M. - 2009
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially infinite constraint set. Our approach is...
Persistent link: https://www.econbiz.de/10010288411