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Partially Linear Models under Data Combination

Xavier D'Haultfœuille, Christophe Gaillac, Arnaud Maurel

arXiv 11 Apr 2022 · Econometrics · publishedThe Review of Economic Studies (2024) · 6 citations (OpenAlex)

arXiv:2204.05175 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We study partially linear models when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked. This type of data combination problem arises very frequently in empirical microeconomics. Using recent tools from optimal transport theory, we derive a constructive characterization of the sharp identified set. We then build on this result and develop a novel inference method that exploits the specific geometric properties of the identified set. Our method exhibits good performances in finite samples, while remaining very tractable. We apply our approach to study intergenerational income mobility over the period 1850-1930 in the United States. Our method allows us to relax the exclusion restrictions used in earlier work, while delivering confidence regions that are informative.

Citation extraction

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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
1Olivetti, C. and M. D. Paserman (2015) In the name of the son (and the daughter): Intergenerational mobility in the united states, 1850-19400.874102100%
2Backhoff-Veraguas, J., M. Beiglböck, and G. Pammer (2019) Existence, duality, and cyclical monotonicity for weak transport costs0.8746367%
3Oster, E (2019) Unobservable selection and coefficient stability: theory and evidence0.87452100%
4Andrews, D. W. and X. Shi (2017) Inference based on many conditional moment inequalities0.8307357%
5Politis, D. N., J. P. Romano, and M. Wolf (1999) Subsampling0.7375340%
6D'Haultfoeuille, X., C. Gaillac, and A. Maurel (2021) Rationalizing rational expectations: Characterizations and tests0.7374450%
7Strassen, V (1965) The existence of probability measures with given marginals0.7374350%
8Hwang, Y (2022) Bounding omitted variable bias using auxiliary data with an application to estimate neighborhood effects0.73732100%
9D'Haultfuille, X., C. Gaillac, and A. Maurel (2023) Partially linear models under data combination0.64422100%
10Santavirta, T. and J. Stuhler (2022) Name-based estimators of intergenerational mobility0.64422100%

Showing the top 10 of 57 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
1An econometrician's guide to optimal transport0.64441
2Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination0.64422
3Inference on High Dimensional Selective Labeling Models0.40511
4Identification of Long-Term Treatment Effects via Temporal Links, Observational, and Experimental Data0.40511
5Treatment Evaluation at the Intensive and Extensive Margins0.40511
6Combining stated and revealed preferences0.40511