Sokbae Lee

4.0k total citations
64 papers, 1.6k citations indexed

About

Sokbae Lee is a scholar working on Statistics and Probability, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Sokbae Lee has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 25 papers in Economics and Econometrics and 11 papers in General Economics, Econometrics and Finance. Recurrent topics in Sokbae Lee's work include Statistical Methods and Inference (31 papers), Advanced Causal Inference Techniques (13 papers) and Statistical Methods and Bayesian Inference (13 papers). Sokbae Lee is often cited by papers focused on Statistical Methods and Inference (31 papers), Advanced Causal Inference Techniques (13 papers) and Statistical Methods and Bayesian Inference (13 papers). Sokbae Lee collaborates with scholars based in United Kingdom, United States and South Korea. Sokbae Lee's co-authors include Joël L. Horowitz, Victor Chernozhukov, Pedro Carneiro, Myung Hwan Seo, Youngki Shin, Adam Rosen, Yoon‐Jae Whang, Ralf A. Wilke, Hidehiko Ichimura and Bernard Salanié and has published in prestigious journals such as Journal of the American Statistical Association, American Economic Review and Econometrica.

In The Last Decade

Sokbae Lee

58 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sokbae Lee United Kingdom	22	835	712	291	164	161	64	1.6k
Azeem M. Shaikh United States	21	843 1.0×	539 0.8×	156 0.5×	115 0.7×	175 1.1×	59	1.6k
Elie Tamer United States	21	966 1.2×	1.3k 1.8×	435 1.5×	119 0.7×	187 1.2×	44	2.5k
Mert Demirer United States	6	597 0.7×	846 1.2×	175 0.6×	288 1.8×	134 0.8×	12	1.8k
Marcelo J. Moreira United States	17	556 0.7×	631 0.9×	539 1.9×	336 2.0×	227 1.4×	25	1.6k
Michael Jansson United States	18	466 0.6×	710 1.0×	462 1.6×	416 2.5×	148 0.9×	43	1.6k
Liangjun Su Singapore	28	866 1.0×	1.8k 2.5×	673 2.3×	458 2.8×	65 0.4×	121	2.5k
Rosa L. Matzkin United States	19	329 0.4×	973 1.4×	208 0.7×	54 0.3×	89 0.6×	34	1.4k
Stéphane Bonhomme United States	21	244 0.3×	1.1k 1.5×	309 1.1×	176 1.1×	196 1.2×	48	1.5k
Miguel A. Delgado Spain	18	426 0.5×	685 1.0×	578 2.0×	280 1.7×	33 0.2×	46	1.3k
Herman J. Bierens United States	23	798 1.0×	1.2k 1.7×	1.1k 3.7×	765 4.7×	78 0.5×	64	2.3k

Countries citing papers authored by Sokbae Lee

Since Specialization

Citations

This map shows the geographic impact of Sokbae Lee'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 Sokbae Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sokbae Lee more than expected).

Fields of papers citing papers by Sokbae Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sokbae Lee. 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 Sokbae Lee. The network helps show where Sokbae Lee may publish in the future.

Co-authorship network of co-authors of Sokbae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sokbae Lee. A scholar is included among the top collaborators of Sokbae Lee 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 Sokbae Lee. Sokbae Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Choi, Syngjoo, et al.. (2024). North Korean refugees’ implicit bias against South Korea predicts market earnings. Journal of Development Economics. 169. 103276–103276.

Lee, Sokbae, et al.. (2023). Sparse quantile regression. Journal of Econometrics. 235(2). 2195–2217. 2 indexed citations

Kitagawa, Toru, Sokbae Lee, & Chen Qiu. (2023). Treatment choice, mean square regret and partial identification. Japanese Economic Review. 74(4). 573–602.

Lee, Sokbae, et al.. (2023). Causal Inference Under Outcome-Based Sampling with Monotonicity Assumptions. Journal of Business and Economic Statistics. 42(3). 998–1009.

Chen, Xiaohong, et al.. (2023). SGMM: Stochastic Approximation to Generalized Method of Moments. Journal of Financial Econometrics. 23(1). 4 indexed citations

Lee, Sokbae, et al.. (2023). Identifying the Effect of Persuasion. Journal of Political Economy. 131(8). 2032–2058. 1 indexed citations

Horowitz, Joël L. & Sokbae Lee. (2022). Inference in a Class of Optimization Problems: Confidence Regions and Finite Sample Bounds on Errors in Coverage Probabilities. Journal of Business and Economic Statistics. 41(3). 927–938. 2 indexed citations

Lee, Sokbae, et al.. (2018). Exact computation of GMM estimators for instrumental variable quantile regression models. Journal of Applied Econometrics. 33(4). 553–567. 19 indexed citations

Kim, Wooyoung, et al.. (2018). The identification power of smoothness assumptions in models with counterfactual outcomes. Quantitative Economics. 9(2). 617–642. 11 indexed citations

10.

Lee, Sokbae, Ryo Okui, & Yoon‐Jae Whang. (2017). Doubly robust uniform confidence band for the conditional average treatment effect function. Journal of Applied Econometrics. 32(7). 1207–1225. 31 indexed citations

11.

Griffith, Rachel, et al.. (2016). Recombinant innovation and the boundaries of the firm. International Journal of Industrial Organization. 50. 34–56. 9 indexed citations

12.

Chernozhukov, Victor, Sokbae Lee, & Adam Rosen. (2013). Intersection Bounds: Estimation and Inference. Econometrica. 81(2). 667–737. 190 indexed citations

13.

Griffith, Rachel, Sokbae Lee, & John Van Reenen. (2011). Is distance dying at last? Falling home bias in fixed-effects models of patent citations. Quantitative Economics. 2(2). 211–249. 47 indexed citations

14.

Lee, Sokbae, Myung Hwan Seo, & Youngki Shin. (2011). Testing for Threshold Effects in Regression Models. Journal of the American Statistical Association. 106(493). 220–231. 73 indexed citations

15.

Lee, Sokbae & Ralf A. Wilke. (2009). Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data. Journal of Business and Economic Statistics. 27(2). 193–205. 45 indexed citations

16.

Lee, Sokbae & Myung Hwan Seo. (2008). Semiparametric estimation of a binary response model with a change-point due to a covariate threshold. Journal of Econometrics. 144(2). 492–499. 15 indexed citations

17.

Lee, Sokbae, Oliver B. Linton, & Yoon‐Jae Whang. (2006). Testing For Stochasticmonotonicity. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 2 indexed citations

18.

Lee, Sokbae. (2006). Identification of a competing risks model with unknown transformations of latent failure times. Biometrika. 93(4). 996–1002. 20 indexed citations

19.

Lee, Sokbae & Joël L. Horowitz. (2004). Nonparametric Estimation of an Additive Quantile Regression Model. RePEc: Research Papers in Economics.

20.

Lee, Sokbae. (2003). EFFICIENT SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR QUANTILE REGRESSION MODEL. Econometric Theory. 19(1). 83 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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