Michael J. Kolesar

Statistics and Probability · 2012–2021

A researcher in the Science corpus: 10 papers; trusts 116 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 137 citations into it; #1,701 of 12,932 by trust here, #2,023 by citations
• Economics and Econometrics — 112 citations into it; #17,360 of 23,481 by trust here, #14,051 by citations
• Sociology and Political Science — 23 citations into it
• Finance — 19 citations into it
• Education — 14 citations into it
• Control and Systems Engineering — 13 citations into it
• Accounting — 12 citations into it
• Causal Inference & Discovery — 11 citations into it

Whom Michael J. Kolesar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alberto Abadie
2. Joshua D. Angrist
3. Guido W. Imbens
4. P. Bekker
5. Whitney K. Newey
6. John C. Chao
7. Markus Frölich
8. Victor Chernozhukov
9. Donald B. Rubin
10. Jerry A. Hausman

Who trusts Michael J. Kolesar overall

1. T. Armstrong
2. David A. Hirshberg
3. James G. MacKinnon
4. Federico A. Bugni
5. James Pustejovsky
6. Gabriel Chodorow-reich
7. Stefan Wager
8. M. D. Cattaneo
9. K. Muralidharan
10. Daron Acemoglu

Papers from Michael J. Kolesar's perspective

Ordered by how strongly the researchers Michael J. Kolesar trusts endorse each paper. Same corpus, a different order for every researcher.

1. The central role of the propensity score in observational studies for causal effects
2. Regression Shrinkage and Selection via the Lasso
3. Econometric Analysis of Cross Section and Panel Data
4. Statistics and Causal Inference
5. ALTERNATIVE APPROXIMATIONS TO THE DISTRIBUTIONS OF INSTRUMENTAL VARIABLE ESTIMATORS
6. Efficient estimation of average treatment effects using the estimated propensity score
7. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
8. Asymptotic efficiency in estimation with conditional moment restrictions
9. Split-Sample Instrumental Variables Estimates of the Return to Schooling
10. Mostly Harmless Econometrics: An Empiricist's Companion

Their papers

• Robust Standard Errors in Small Samples: Some Practical Advice (2016) — 318 citations
• Optimal inference in a class of regression models (2015) — 148 citations
• Shift-Share Designs: Theory and Inference* (2018) — 531 citations
• Inference in Regression Discontinuity Designs with a Discrete Running Variable (2016) — 306 citations
• Sensitivity analysis using approximate moment condition models (2018) — 68 citations
• One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV (2021) — 63 citations
• Contamination Bias in Linear Regressions (2021) — 75 citations
• Local Projection Inference Is Simpler and More Robust Than You Think (2020) — 281 citations
• Simple and honest confidence intervals in nonparametric regression (2016) — 104 citations
• ESTIMATION IN AN INSTRUMENTAL VARIABLES MODEL WITH TREATMENT EFFECT HETEROGENEITY (2012) — 68 citations