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Specification tests for generalized propensity scores using double projections

Pedro H. C. Sant'Anna, Xiaojun Song

arXiv 30 Mar 2020 · Econometrics · publishedJournal of nonparametric statistics (2025) · 2 citations (OpenAlex)

arXiv:2003.13803 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper proposes a new class of nonparametric tests for the correct specification of models based on conditional moment restrictions, paying particular attention to generalized propensity score models. The test procedure is based on two different projection arguments, leading to test statistics that are suitable to setups with many covariates, and are (asymptotically) invariant to the estimation method used to estimate the nuisance parameters. We show that our proposed tests are able to detect a broad class of local alternatives converging to the null at the usual parametric rate and illustrate its attractive power properties via simulations. We also extend our proposal to test parametric or semiparametric single-index-type models.

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
1Escanciano (2006) A consistent diagnostic test for regression models using projections1.000164100%
2Escanciano \ Goh (2014) Specification analysis of linear quantile models1.00053100%
Garcia-Portugues2014unmatched citation key Garcia-Portugues20140.87452100%
4Sant'Anna \ Song (2019) Specification tests for the propensity score0.81142100%
5Linden, Uysal, Ryan \ Adams (2016) Estimating causal effects for multivalued treatments: A comparison of approaches0.73732100%
6Neyman (1959) Optimal Asymptotic Tests of Composite Statistical Hypotheses0.73732100%
7Escanciano (2008) Joint and marginal specification tests for conditional mean and variance models0.64422100%
8Kim, Balakrishnan \ Wasserman (2020) Robust Multivariate Nonparametric Tests via Projection-Averaging0.64422100%
9Stute (1997) Nonparametric model checks for regression0.64422100%
10Zhu, Xu, Li \ Zhong (2017) Projection correlation between two random vectors0.64422100%

Showing the top 10 of 55 scored citations. 1 of these could not be matched to a bibliography entry, so only the citation key is shown.