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Alternative Asymptotics and the Partially Linear Model with Many Regressors

Matias D. Cattaneo, Michael Jansson, Whitney K. Newey

arXiv 28 May 2015 · Mathematics — Statistics Theory · publishedEconometric Theory (2016) · 44 citations (OpenAlex)

arXiv:1505.08120 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Non-standard distributional approximations have received considerable attention in recent years. They often provide more accurate approximations in small samples, and theoretical improvements in some cases. This paper shows that the seemingly unrelated "many instruments asymptotics" and "small bandwidth asymptotics" share a common structure, where the object determining the limiting distribution is a V-statistic with a remainder that is an asymptotically normal degenerate U-statistic. We illustrate how this general structure can be used to derive new results by obtaining a new asymptotic distribution of a series estimator of the partially linear model when the number of terms in the series approximation possibly grows as fast as the sample size, which we call "many terms asymptotics".

Citation extraction

21
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appendix boundary found by appendix_titled_section at “Appendix: Proofs” · 85% of the source is main text. Read the extracted text to check this.

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
1Cattaneo, Crump, and Jansson (2014) Small Bandwidth Asymptotics for Density-Weighted Average Derivatives self0.81142100%
2Chao, Swanson, Hausman, Newey, and Woutersen (2012) Asymptotic Distribution of JIVE in a Heteroskedastic IV Regression with Many Instruments0.7375260%
3Donald and Newey (1994) Series Estimation of Semilinear Models0.73732100%
4Hansen, Hausman, and Newey (2008) Estimation with Many Instrumental Variables self0.73732100%
5Powell, Stock, and Stoker (1989) Semiparametric Estimation of Index Coefficients0.51121100%
6van der Vaart (1998) Asymptotic Statistics0.51121100%
7Angrist, Imbens, and Krueger (1999) Jackknife Instrumental Variables Estimation0.40511100%
8Atchadé and Cattaneo (2014) A Martingale Decomposition for Quadratic Forms of Markov Chains (with Applications)0.40511100%
9Bekker (1994) Alternative Approximations to the Distributions of Instrumental Variables Estimators0.40511100%
10Belloni, Chernozhukov, Chetverikov, and Kato (2015) Some New Asymptotic Theory for Least Squares Series: Pointwise and Uniform Results0.40511100%

Showing the top 10 of 21 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
1Inference on Treatment Effects After Selection Amongst High-Dimensional Controls0.87452
2Adjustments with Many Regressors under Covariate-Adaptive Randomizations0.81142
3Inference in Linear Regression Models with Many Covariates and Heteroskedasticity0.64422
4Cluster-Robust Standard Errors for Linear Regression Models with Many Controls0.64422
5Two-Step Estimation and Inference with Possibly Many Included Covariates0.64422
6Higher-Order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators0.64422
7The Fragility of Sparsity0.64422
8Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations0.40511
9Program Evaluation and Causal Inference with High-Dimensional Data0.40511
10Inference in High Dimensional Panel Models with an Application to Gun Control0.40511