Michael Jansson

Statistics and Probability · 2002–2018

A researcher in the Science corpus: 14 papers; trusts 54 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 108 citations into it; #953 of 12,932 by trust here, #1,432 by citations
• Economics and Econometrics — 66 citations into it; #7,546 of 23,481 by trust here, #9,444 by citations
• Finance — 28 citations into it; #1,499 of 10,518 by trust here, #4,165 by citations
• Management Science and Operations Research — 16 citations into it; #6,294 of 11,946 by trust here, #8,906 by citations
• Artificial Intelligence — 13 citations into it; #10,420 of 35,345 by trust here, #17,110 by citations
• Causal Inference & Discovery — 12 citations into it
• Control and Systems Engineering — 9 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Michael Jansson trusts overall

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

1. Whitney K. Newey
2. Alberto Abadie
3. Joon Y. Park
4. M. D. Cattaneo
5. R. Jong
6. Xiaohong Chen
7. Theodore W. Anderson
8. Jianqing Fan
9. Peter Hall
10. Guido W. Imbens

Who trusts Michael Jansson overall

1. Yixiao Sun
2. Martin Wagner
3. Victor Chernozhukov
4. Giuseppe Cavaliere
5. Timothy J. Vogelsang
6. M. D. Cattaneo
7. Ulrich K. Müller
8. Christian Hansen
9. P. R. Hansen
10. Ted Juhl

Papers from Michael Jansson's perspective

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

1. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
2. Local polynomial modelling and its applications
3. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
4. Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models
5. The asymptotic variance of semiparametric estimators
6. Regression Shrinkage and Selection via the Lasso
7. Supplementary Appendix for"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
8. Large Sample Properties of Matching Estimators for Average Treatment Effects
9. Double/debiased machine learning for treatment and structural parameters
10. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects

Their papers

• ALTERNATIVE ASYMPTOTICS AND THE PARTIALLY LINEAR MODEL WITH MANY REGRESSORS (2015) — 77 citations
• Inference in Linear Regression Models with Many Covariates and Heteroscedasticity (2015) — 143 citations
• Two-Step Estimation and Inference with Possibly Many Included Covariates (2018) — 69 citations
• Kernel-Based Semiparametric Estimators: Small Bandwidth Asymptotics and Bootstrap Consistency (2018) — 58 citations
• Robust Data-Driven Inference for Density-Weighted Average Derivatives (2010) — 47 citations
• The Error in Rejection Probability of Simple Autocorrelation Robust Tests (2004) — 131 citations
• Finite Sample Inference for Quantile Regression Models (2006) — 90 citations
• Simple Local Polynomial Density Estimators (2018) — 609 citations
• Manipulation Testing Based on Density Discontinuity (2018) — 530 citations
• Testing for Unit Roots with Stationary Covariates (2002) — 121 citations
• Optimal Power for Testing Potential Cointegrating Vectors With Known Parameters for Nonstationarity (2004) — 50 citations
• Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis (2007) — 48 citations
• Improving Size and Power in Unit Root Testing (2005) — 67 citations
• CONSISTENT COVARIANCE MATRIX ESTIMATION FOR LINEAR PROCESSES (2002) — 117 citations