Lung‐fei Lee

8.9k total citations · 2 hit papers
127 papers, 5.9k citations indexed

About

Lung‐fei Lee is a scholar working on Economics and Econometrics, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Lung‐fei Lee has authored 127 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Economics and Econometrics, 21 papers in Statistics and Probability and 14 papers in General Economics, Econometrics and Finance. Recurrent topics in Lung‐fei Lee's work include Spatial and Panel Data Analysis (76 papers), Regional Economics and Spatial Analysis (56 papers) and Economic and Environmental Valuation (28 papers). Lung‐fei Lee is often cited by papers focused on Spatial and Panel Data Analysis (76 papers), Regional Economics and Spatial Analysis (56 papers) and Economic and Environmental Valuation (28 papers). Lung‐fei Lee collaborates with scholars based in United States, China and Hong Kong. Lung‐fei Lee's co-authors include Jihai Yu, Mark M. Pitt, Robert de Jong, Xi Qu, Xiaodong Liu, Fei Jin, Robert P. Trost, Robert H. Porter, Anil K. Bera and Carlos M. Jarque and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and The Review of Economics and Statistics.

In The Last Decade

Lung‐fei Lee

120 papers receiving 5.4k citations

Hit Papers

The measurement and sources of technical inefficiency in ... 1981 2026 1996 2011 1981 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lung‐fei Lee United States 35 4.5k 893 656 489 422 127 5.9k
Daniel L. Rubinfeld United States 31 4.6k 1.0× 523 0.6× 609 0.9× 777 1.6× 406 1.0× 148 7.9k
Timothy G. Conley United States 22 3.1k 0.7× 396 0.4× 573 0.9× 1.3k 2.7× 346 0.8× 38 6.0k
Ingmar R. Prucha United States 33 5.8k 1.3× 293 0.3× 694 1.1× 556 1.1× 522 1.2× 64 7.0k
Tony Lancaster United States 20 3.1k 0.7× 466 0.5× 761 1.2× 625 1.3× 977 2.3× 47 5.4k
Lung-Fei Lee United States 19 3.2k 0.7× 326 0.4× 307 0.5× 624 1.3× 401 1.0× 28 4.4k
Harry H. Kelejian United States 34 6.3k 1.4× 236 0.3× 677 1.0× 655 1.3× 366 0.9× 81 7.5k
Aman Ullah United States 25 3.3k 0.7× 538 0.6× 1.2k 1.9× 316 0.6× 977 2.3× 98 5.1k
Marcus J. Chambers United Kingdom 15 2.7k 0.6× 344 0.4× 1.4k 2.1× 432 0.9× 375 0.9× 58 4.8k
Gary Chamberlain United States 26 3.3k 0.7× 546 0.6× 1.3k 1.9× 613 1.3× 1.0k 2.4× 40 5.9k
Yair Mundlak Israel 24 3.3k 0.7× 476 0.5× 1.0k 1.5× 807 1.7× 232 0.5× 70 5.6k

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

20 of 20 papers shown
2.
Lee, Lung‐fei, et al.. (2023). Estimation of spatial autoregressive models for origin–destination flows: A partial likelihood approach. Economics Letters. 229. 111202–111202. 2 indexed citations
3.
Jin, Fei, Lung‐fei Lee, & Jihai Yu. (2023). Estimating flow data models of international trade: dual gravity and spatial interactions. Econometric Reviews. 42(2). 157–194. 1 indexed citations
4.
Lee, Lung‐fei, Xiaodong Liu, Eleonora Patacchini, & Yves Zénou. (2020). Who is the Key Player? A Network Analysis of Juvenile Delinquency. Journal of Business and Economic Statistics. 39(3). 849–857. 48 indexed citations
5.
Qu, Xi, et al.. (2020). Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables. Journal of Econometrics. 221(1). 180–197. 22 indexed citations
6.
Lee, Lung‐fei, et al.. (2018). Identification and estimation of spatial dynamic panel simultaneous equations models. Regional Science and Urban Economics. 76. 32–46. 17 indexed citations
7.
Jin, Fei & Lung‐fei Lee. (2018). GEL estimation and tests of spatial autoregressive models. Journal of Econometrics. 208(2). 585–612. 16 indexed citations
8.
Hsieh, Chih‐Sheng & Lung‐fei Lee. (2017). Specification and Estimation of Network Formation and Network Interaction Models with the Exponential Probability Distribution. SSRN Electronic Journal. 5 indexed citations
9.
Lee, Lung‐fei, et al.. (2015). A spatial autoregressive model with a nonlinear transformation of the dependent variable. Journal of Econometrics. 186(1). 1–18. 33 indexed citations
10.
Lee, Lung‐fei & Jihai Yu. (2014). Efficient GMM estimation of spatial dynamic panel data models with fixed effects. Journal of Econometrics. 180(2). 174–197. 120 indexed citations
11.
Lee, Lung‐fei & Jihai Yu. (2014). Estimation of fixed effects panel regression models with separable and nonseparable space–time filters. Journal of Econometrics. 184(1). 174–192. 27 indexed citations
12.
Yu, Jihai & Lung‐fei Lee. (2012). CONVERGENCE: A SPATIAL DYNAMIC PANEL DATA APPROACH. RePEc: Research Papers in Economics. 1(1). 1250006–1250006. 53 indexed citations
13.
Liu, Xiaodong & Lung‐fei Lee. (2012). Two-Stage Least Squares Estimation of Spatial Autoregressive Models with Endogenous Regressors and Many Instruments. Econometric Reviews. 32(5-6). 734–753. 34 indexed citations
14.
Lee, Lung‐fei, et al.. (2011). Estimation of Spatial Panels. RePEc: Research Papers in Economics. 4(1-2). 1–164. 9 indexed citations
15.
Hsiao, Chêng, Takeshi Amemiya, Manuel Arellano, et al.. (1999). Analysis of Panels and Limited Dependent Variable Models. Cambridge University Press eBooks. 92 indexed citations
16.
Lee, Lung‐fei. (1999). STATISTICAL INFERENCE WITH SIMULATED LIKELIHOOD FUNCTIONS. Econometric Theory. 15(3). 337–360. 19 indexed citations
17.
Lee, Lung‐fei & Mark M. Pitt. (1986). Microeconometric Demand System with Binding Nonnegativity Constraints: The Dual Approach. Econometrica. 54(5). 1237–1237. 165 indexed citations
18.
Lee, Lung‐fei & Mark M. Pitt. (1986). Specification and Estimation of Consumer Demand Systems with Many Binding Non-Negativity Constraints. University of Minnesota Digital Conservancy (University of Minnesota). 2 indexed citations
19.
Lee, Lung‐fei. (1984). Comment. Econometric Reviews. 3(2). 257–259. 2 indexed citations
20.
Pitt, Mark M. & Lung‐fei Lee. (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of Development Economics. 9(1). 43–64. 952 indexed citations breakdown →

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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