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Semiparametric Distribution Regression with Instruments and Monotonicity

Dominik Wied

arXiv 7 Dec 2022 · Econometrics · publishedLabour Economics (2024) · 3 citations (OpenAlex)

arXiv:2212.03704 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper proposes IV-based estimators for the semiparametric distribution regression model in the presence of an endogenous regressor, which are based on an extension of IV probit estimators. We discuss the causal interpretation of the estimators and two methods (monotone rearrangement and isotonic regression) to ensure a monotonically increasing distribution function. Asymptotic properties and simulation evidence are provided. An application to wage equations reveals statistically significant and heterogeneous differences to the inconsistent OLS-based estimator.

Citation extraction

25
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Rivers, D. and Q. Vuong (1988) Limited Information Estimators and Exogeneity Tests for Simultaneous Probit Models0.8115280%
2Chernozhukov, V., I. Fernández-Val, and B. Melly (2013) Inference on Counterfactual Distributions0.7948450%
3Wooldridge, J (2002) Econometric Analysis of Cross-Sectional and Panel Data0.73732100%
4Amemiya, T (1978) The Estimation of a Simultaneous Equation Generalized Probit Model0.6443267%
5Breitung, J. and D. Wied (2022) An Endogeneity Correction Based on a Nonparametric Control Function Approach0.64422100%
6Foresi, S. and F. Peracchi (1995) The Conditional Distribution of Excess Returns: An Empirical Analysis0.64422100%
7Newey, W (1987) Efficient Estimation of Limited Dependent Variable Models with Endogenous Explanatory Variables0.5112250%
8Chernozhukov, V., I. Fernández-Val, and A. Galichon (2010) Quantile and Probability Curves Without Crossing0.51121100%
9Hansen, B (2022) Econometrics0.51121100%
10Rothe, C. and D. Wied (2013) Misspecification Testing in a Class of Conditional Distributional Models0.51121100%

Showing the top 10 of 25 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Practically significant differences between conditional distribution functions1.00064
2A Synthetic Control Approach to Conditional Distributional Treatment Effects0.64422
32cmEndogeneity Corrections in Binary Outcome Models with Nonlinear Transformations: Identification and Inference0.40511
4Local Gaussian copula inference with structural breaks: testing dependence predictability0.40511