Lung-Fei Lee

6.3k total citations · 3 hit papers
28 papers, 4.4k citations indexed

About

Lung-Fei Lee is a scholar working on Economics and Econometrics, Statistics and Probability and Marketing. According to data from OpenAlex, Lung-Fei Lee has authored 28 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 10 papers in Statistics and Probability and 4 papers in Marketing. Recurrent topics in Lung-Fei Lee's work include Spatial and Panel Data Analysis (6 papers), Economic and Environmental Valuation (5 papers) and Statistical Methods and Bayesian Inference (5 papers). Lung-Fei Lee is often cited by papers focused on Spatial and Panel Data Analysis (6 papers), Economic and Environmental Valuation (5 papers) and Statistical Methods and Bayesian Inference (5 papers). Lung-Fei Lee collaborates with scholars based in United States, Canada and United Kingdom. Lung-Fei Lee's co-authors include Jihai Yu, Xiaodong Liu, Lin Xu, G. S. Maddala, Robert P. Trost, Xu Lin, William G. Tyler, Ji Li, Chih‐Sheng Hsieh and Vincent Boucher and has published in prestigious journals such as Econometrica, The Review of Economics and Statistics and Journal of Econometrics.

In The Last Decade

Lung-Fei Lee

28 papers receiving 4.0k citations

Hit Papers

align trajectories

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.

Generalized Econometric Models with Selectivity

1983 1.0k citations Lung-Fei Lee Econometrica profile →
Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models

2004 674 citations Lung-Fei Lee Econometrica profile →
Estimation of spatial autoregressive panel data models with fixed effects

2009 653 citations Lung-Fei Lee, Jihai Yu Journal of Econometrics profile →

Peers

Lung-Fei Lee

EE

SPS

SP

MSOR

GEEF

Moshe Buchinsky United States

Geert Ridder United States

Lung‐fei Lee United States

Harry H. Kelejian United States

Stephen G. Donald United States

Tony Lancaster United States

José A. F. Machado Portugal

Yair Mundlak Israel

Brent R. Moulton United States

Bo E. Honoré United States

Moshe Buchinsky United States

Lung-Fei Lee

2.0k ×0.6

EE

559 ×0.9

SPS

577 ×1.4

SP

181 ×0.6

MSOR

434 ×1.4

GEEF

Citations per year, relative to Lung-Fei Lee Lung-Fei Lee (= 1×) peers Moshe Buchinsky

Countries citing papers authored by Lung-Fei Lee

Since Specialization

Citations

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

Fields of papers citing papers by Lung-Fei Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lung-Fei Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Lung-Fei Lee. A scholar is included among the top collaborators of Lung-Fei 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 Lung-Fei Lee. Lung-Fei Lee 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

1.

Lee, Lung-Fei, Ji Li, & Lin Xu. (2013). Binary Choice Models with Social Network under Heterogeneous Rational Expectations. The Review of Economics and Statistics. 96(3). 402–417. 52 indexed citations

2.

Lee, Lung-Fei, Xiaodong Liu, & Xu Lin. (2010). Specification and estimation of social interaction models with network structures. Econometrics Journal. 13(2). 145–176. 190 indexed citations

3.

Xu, Lin & Lung-Fei Lee. (2009). GMM estimation of spatial autoregressive models with unknown heteroskedasticity. Journal of Econometrics. 157(1). 34–52. 200 indexed citations

4.

Lee, Lung-Fei & Xiaodong Liu. (2009). EFFICIENT GMM ESTIMATION OF HIGH ORDER SPATIAL AUTOREGRESSIVE MODELS WITH AUTOREGRESSIVE DISTURBANCES. Econometric Theory. 26(1). 187–230. 126 indexed citations

5.

Lee, Lung-Fei & Jihai Yu. (2009). Estimation of spatial autoregressive panel data models with fixed effects. Journal of Econometrics. 154(2). 165–185. 653 indexed citations breakdown →

6.

Lee, Lung-Fei. (2006). Identification and estimation of econometric models with group interactions, contextual factors and fixed effects. Journal of Econometrics. 140(2). 333–374. 266 indexed citations

7.

Lee, Lung-Fei. (2006). GMM and 2SLS estimation of mixed regressive, spatial autoregressive models. Journal of Econometrics. 137(2). 489–514. 326 indexed citations

8.

Lee, Lung-Fei. (2001). ON THE RANGE OF CORRELATION COEFFICIENTS OF BIVARIATE ORDERED DISCRETE RANDOM VARIABLES. Econometric Theory. 17(1). 247–256. 7 indexed citations

9.

Lee, Lung-Fei. (2001). INTERPOLATION, QUADRATURE, AND STOCHASTIC INTEGRATION. Econometric Theory. 17(5). 933–961. 3 indexed citations

10.

Lee, Lung-Fei. (1994). Semiparametric two-stage estimation of sample selection models subject to Tobit-type selection rules. Journal of Econometrics. 61(2). 305–344. 22 indexed citations

11.

Lee, Lung-Fei. (1987). Non-parametric testing of discrete panel data models. Journal of Econometrics. 34(1-2). 147–177. 10 indexed citations

12.

Lee, Lung-Fei & G. S. Maddala. (1985). The Common Structure of Tests for Selectivity Bias, Serial Correlation, Heteroscedasticity and Non-Normality in the Tobit Model. International Economic Review. 26(1). 1–1. 50 indexed citations

13.

Lee, Lung-Fei. (1984). The likelihood function and a test for serial correlation in a disequilibrium market model. Economics Letters. 14(2-3). 195–200. 10 indexed citations

14.

Lee, Lung-Fei. (1983). A test for distributional assumptions for the stochastic frontier functions. Journal of Econometrics. 22(3). 245–267. 44 indexed citations

15.

Lee, Lung-Fei. (1983). Generalized Econometric Models with Selectivity. Econometrica. 51(2). 507–507. 1005 indexed citations breakdown →

16.

Lee, Lung-Fei. (1981). Fully recursive probability models and multivariate log-linear probability models for the analysis of qualitative data. Journal of Econometrics. 16(1). 51–69. 31 indexed citations

17.

Lee, Lung-Fei. (1979). Identification and Estimation in Binary Choice Models with Limited (Censored) Dependent Variables. Econometrica. 47(4). 977–977. 203 indexed citations

18.

Lee, Lung-Fei. (1979). On comparisons of normal and logistic models in the bivariate dichotomous analysis. Economics Letters. 4(2). 151–155. 2 indexed citations

19.

Lee, Lung-Fei & William G. Tyler. (1978). The stochastic frontier production function and average efficiency. Journal of Econometrics. 7(3). 385–389. 75 indexed citations

20.

Lee, Lung-Fei. (1972). The Theorems of Debreu and Peleg for Ordered Topological Spaces. Econometrica. 40(6). 1151–1151. 8 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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