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Quantile Models with Endogeneity

Victor Chernozhukov, Christian Hansen

arXiv 28 Mar 2013 · Statistics — Applications · 19 citations (OpenAlex)

arXiv:1303.7050 · PDF · DOI · OpenAlex · Extracted main text

Abstract

In this article, we review quantile models with endogeneity. We focus on models that achieve identification through the use of instrumental variables and discuss conditions under which partial and point identification are obtained. We discuss key conditions, which include monotonicity and full-rank-type conditions, in detail. In providing this review, we update the identification results of Chernozhukov and Hansen (2005, Econometrica). We illustrate the modeling assumptions through economically motivated examples. We also briefly review the literature on estimation and inference. Key Words: identification, treatment effects, structural models, instrumental variables

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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
1Chernozhukov and Hansen (2005) An IV Model of Quantile Treatment Effects1.000166100%
2Berry and Haile (2010) Identification in Differentiated Products Markets Using Market Level Data1.000113100%
3Abadie, Angrist, and Imbens (2002) Instrumental variables estimates of the effect of subsidized training on the quantiles of trainee earnings1.00094100%
4Chernozhukov and Hansen (2008) Instrumental variable quantile regression: A robust inference approach1.00083100%
5Imbens and Newey (2009) Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity1.00073100%
6Lee (2007) Endogeneity in quantile regression models: A control function approach0.92843100%
7Chernozhukov, Hansen, and Jansson (2009) Finite sample inference for quantile regression models0.92843100%
8Chernozhukov and Hansen (2004) The Effects of 401(k) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis0.84333100%
9Jun (2008) Weak Identification Robust Tests in an Instrumental Quantile Model0.84333100%
10Mas-Colell (1979) Homeomorphisms of compact, convex sets and the Jacobian matrix0.8115280%

Showing the top 10 of 64 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
1Decentralization Estimators for Instrumental Variable Quantile Regression Models0.73732
2Instrumental Variable Quantile Regression0.73732
3Local Identification in Instrumental Variable Multivariate Quantile Regression Models0.64422
4Are Unobservables Separable?0.40511
5Identification of multi-valued treatment effects with unobserved heterogeneity0.40511
6On Quantile Treatment Effects, Rank Similarity, and Variation of Instrumental Variables0.40511
7Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments0.40511
8Quantile and Distribution Treatment Effects on the Treated with Possibly Non-Continuous Outcomes0.40511
9Gradient Wild Bootstrap for Instrumental Variable Quantile Regressions with Weak and Few Clusters0.40511
10On Quantile Treatment Effects, Rank Similarity, and Variation of Instrumental Variables0.40511