Whitney K. Newey

66.8k total citations · 8 hit papers
119 papers, 30.3k citations indexed

About

Whitney K. Newey is a scholar working on Statistics and Probability, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Whitney K. Newey has authored 119 papers receiving a total of 30.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 54 papers in Economics and Econometrics and 44 papers in General Economics, Econometrics and Finance. Recurrent topics in Whitney K. Newey's work include Statistical Methods and Inference (58 papers), Monetary Policy and Economic Impact (42 papers) and Advanced Statistical Methods and Models (26 papers). Whitney K. Newey is often cited by papers focused on Statistical Methods and Inference (58 papers), Monetary Policy and Economic Impact (42 papers) and Advanced Statistical Methods and Models (26 papers). Whitney K. Newey collaborates with scholars based in United States, Sweden and United Kingdom. Whitney K. Newey's co-authors include Kenneth D. West, Douglas Holtz‐Eakin, Harvey S. Rosen, James L. Powell, Victor Chernozhukov, James M. Robins, Jerry A. Hausman, Christian Hansen, Stephen G. Donald and Esther Duflo and has published in prestigious journals such as Journal of the American Statistical Association, American Economic Review and Strategic Management Journal.

In The Last Decade

Whitney K. Newey

118 papers receiving 28.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix

1987 12.6k citations Whitney K. Newey et al. Econometrica profile →
Estimating Vector Autoregressions with Panel Data

1988 2.9k citations Douglas Holtz‐Eakin, Whitney K. Newey et al. Econometrica profile →
Automatic Lag Selection in Covariance Matrix Estimation

1994 2.3k citations Whitney K. Newey et al. profile →
Hypothesis Testing with Efficient Method of Moments Estimation

1987 1.3k citations Whitney K. Newey et al. profile →
Double/debiased machine learning for treatment and structural parameters

2017 1.2k citations Victor Chernozhukov, Whitney K. Newey et al. Econometrics Journal profile →
Efficient estimation of limited dependent variable models with endogenous explanatory variables

1987 731 citations Whitney K. Newey Journal of Econometrics profile →
Asymmetric Least Squares Estimation and Testing

1987 664 citations Whitney K. Newey, James L. Powell Econometrica profile →
Double/Debiased/Neyman Machine Learning of Treatment Effects

2017 190 citations Victor Chernozhukov, Whitney K. Newey et al. American Economic Review profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Whitney K. Newey United States	51	16.9k	12.6k	8.7k	5.7k	5.0k	119	30.3k
Lars Peter Hansen United States	55	16.5k 1.0×	13.3k 1.1×	10.5k 1.2×	1.8k 0.3×	3.5k 0.7×	174	26.1k
James H. Stock United States	65	27.6k 1.6×	11.9k 0.9×	21.5k 2.5×	2.9k 0.5×	3.2k 0.6×	197	41.4k
Bruce E. Hansen United States	42	17.6k 1.0×	7.4k 0.6×	11.1k 1.3×	2.4k 0.4×	1.4k 0.3×	87	24.2k
Wayne A. Fuller United States	47	29.7k 1.8×	12.1k 1.0×	20.1k 2.3×	5.4k 1.0×	2.4k 0.5×	162	48.2k
James G. MacKinnon Canada	43	10.9k 0.6×	4.1k 0.3×	5.9k 0.7×	2.1k 0.4×	1.9k 0.4×	103	18.9k
Donald W. K. Andrews United States	51	16.5k 1.0×	8.1k 0.6×	11.8k 1.3×	4.3k 0.8×	1.0k 0.2×	145	24.5k
Roger Koenker United States	50	11.1k 0.7×	4.3k 0.3×	3.3k 0.4×	7.0k 1.2×	1.6k 0.3×	125	27.3k
Peter C.B. Phillips United States	69	35.4k 2.1×	15.3k 1.2×	23.2k 2.7×	3.3k 0.6×	2.3k 0.5×	460	47.3k
Jeffrey M. Wooldridge United States	49	26.7k 1.6×	9.5k 0.8×	7.5k 0.9×	2.9k 0.5×	9.1k 1.8×	127	55.1k
David A. Dickey United States	37	28.3k 1.7×	11.6k 0.9×	19.4k 2.2×	1.4k 0.2×	2.3k 0.5×	102	43.3k

Countries citing papers authored by Whitney K. Newey

Since Specialization

Citations

This map shows the geographic impact of Whitney K. Newey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Whitney K. Newey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Whitney K. Newey more than expected).

Fields of papers citing papers by Whitney K. Newey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Whitney K. Newey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Whitney K. Newey. The network helps show where Whitney K. Newey may publish in the future.

Co-authorship network of co-authors of Whitney K. Newey

This figure shows the co-authorship network connecting the top 25 collaborators of Whitney K. Newey. A scholar is included among the top collaborators of Whitney K. Newey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Whitney K. Newey. Whitney K. Newey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Blomquist, Sören, et al.. (2024). Nonlinear budget set regressions in random utility models: Theory and application to taxable income. Journal of Econometrics. 252. 105859–105859.

Chernozhukov, Victor, et al.. (2022). Debiased machine learning of global and local parameters using regularized Riesz representers. Econometrics Journal. 25(3). 576–601. 19 indexed citations

Chernozhukov, Victor, et al.. (2018). Learning L2 Continuous Regression Functionals via Regularized Riesz Representers. arXiv (Cornell University). 6 indexed citations

Cattaneo, Matias D., Michael Jansson, & Whitney K. Newey. (2017). Inference in Linear Regression Models with Many Covariates and Heteroscedasticity. Journal of the American Statistical Association. 113(523). 1350–1361. 62 indexed citations

Newey, Whitney K. & Frank Windmeijer. (2009). Generalized Method of Moments With Many Weak Moment Conditions. Econometrica. 77(3). 687–719. 153 indexed citations

McFadden, Daniel, Randall Wright, Charles F. Manski, & Whitney K. Newey. (2007). Economics to econometrics : contributions in honor of Daniel L. McFadden. Blackwell eBooks. 1 indexed citations

Boyer, Brian H., James B. McDonald, & Whitney K. Newey. (2003). A Comparison of Partially Adaptive and Reweighted Least Squares Estimation. Econometric Reviews. 22(2). 115–134. 14 indexed citations

Donald, Stephen G., Guido W. Imbens, & Whitney K. Newey. (2003). Empirical likelihood estimation and consistent tests with conditional moment restrictions. Journal of Econometrics. 117(1). 55–93. 117 indexed citations

Brown, Bryan W. & Whitney K. Newey. (2002). Generalized Method of Moments, Efficient Bootstrapping, and Improved Inference. Journal of Business and Economic Statistics. 20(4). 507–517. 88 indexed citations

10.

Newey, Whitney K.. (1999). Flexible Simulated Moment Estimation of Nonlinear Errors-in-Variables Models. SSRN Electronic Journal. 3 indexed citations

11.

Newey, Whitney K., James L. Powell, & Francis Vella. (1999). Nonparametric Estimation of Triangular Simultaneous Equations Models. Econometrica. 67(3). 565–603. 285 indexed citations

12.

Newey, Whitney K. & Douglas G. Steigerwald. (1998). Consistency of Quasi-Maximum Likelihood Estimators for Models with Conditional Heteroskedasticity. SSRN Electronic Journal. 1 indexed citations

13.

Blomquist, Sören, Matias Eklöf, & Whitney K. Newey. (1998). Tax Reform Evaluation Using Nonparametric Methods: Sweden 1980 - 1991. Journal of Public Economics. 79(3). 543–568. 5 indexed citations

14.

Steigerwald, Douglas G. & Whitney K. Newey. (1997). Asymptotic Bias for Quasi-Maximum Likelihood Estimators in Models with Conditional Heteroskedasticity. Econometrica. 65(3). 2 indexed citations

15.

Newey, Whitney K.. (1997). Convergence rates and asymptotic normality for series estimators. Journal of Econometrics. 79(1). 147–168. 388 indexed citations

16.

Donald, Stephen G. & Whitney K. Newey. (1994). Series Estimation of Semilinear Models. Journal of Multivariate Analysis. 50(1). 30–40. 65 indexed citations

17.

Hausman, Jerry A., Hidehiko Ichimura, Whitney K. Newey, & James L. Powell. (1991). Estimation of polynomial errors-in-variables models. Journal of Econometrics. 3 indexed citations

18.

Newey, Whitney K., James L. Powell, & James R. Walker. (1990). SEMIPARAMETRIC ESTIMATION OF SELECTION MODELS: SOME EMPIRICAL RESULTS. American Economic Review. 80(2). 324–328. 157 indexed citations

19.

Holtz‐Eakin, Douglas, Whitney K. Newey, & Harvey S. Rosen. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica. 56(6). 1371–1371. 2859 indexed citations breakdown →

20.

Lo, Andrew W. & Whitney K. Newey. (1985). A large-sample chow test for the linear simultaneous equation. Economics Letters. 18(4). 351–353. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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