Lung-Fei Lee

993 total citations
14 papers, 676 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 14 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 3 papers in Statistics and Probability and 2 papers in General Economics, Econometrics and Finance. Recurrent topics in Lung-Fei Lee's work include Spatial and Panel Data Analysis (5 papers), Economic and Environmental Valuation (4 papers) and Regional Economics and Spatial Analysis (3 papers). Lung-Fei Lee is often cited by papers focused on Spatial and Panel Data Analysis (5 papers), Economic and Environmental Valuation (4 papers) and Regional Economics and Spatial Analysis (3 papers). Lung-Fei Lee collaborates with scholars based in United States, Ireland and Hong Kong. Lung-Fei Lee's co-authors include Robert P. Trost, Chih‐Sheng Hsieh, Jihai Yu and G. S. Maddala and has published in prestigious journals such as Journal of Econometrics, Economics Letters and Journal of Applied Econometrics.

In The Last Decade

Lung-Fei Lee

14 papers receiving 595 citations

Peers

Lung-Fei Lee
P. J. Lund United Kingdom
Paul Chapman United Kingdom
Artem Prokhorov Australia
Stephen T. Ziliak United States
R. Carter Hill United States
G. V. L. Narasimham United States
Otis W. Gilley United States
P. J. Lund United Kingdom
Lung-Fei Lee
Citations per year, relative to Lung-Fei Lee Lung-Fei Lee (= 1×) peers P. J. Lund

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

14 of 14 papers shown
1.
Hsieh, Chih‐Sheng & Lung-Fei Lee. (2015). A Social Interactions Model with Endogenous Friendship Formation and Selectivity. Journal of Applied Econometrics. 31(2). 301–319. 116 indexed citations
2.
Lee, Lung-Fei & Jihai Yu. (2009). Spatial Nonstationarity and Spurious Regression: the Case with a Row-normalized Spatial Weights Matrix. Spatial Economic Analysis. 4(3). 301–327. 27 indexed citations
3.
Lee, Lung-Fei. (2006). The method of elimination and substitution in the GMM estimation of mixed regressive, spatial autoregressive models. Journal of Econometrics. 140(1). 155–189. 28 indexed citations
4.
Lee, Lung-Fei. (2002). CONSISTENCY AND EFFICIENCY OF LEAST SQUARES ESTIMATION FOR MIXED REGRESSIVE, SPATIAL AUTOREGRESSIVE MODELS. Econometric Theory. 18(2). 252–277. 171 indexed citations
5.
Lee, Lung-Fei. (1984). Maximum likelihood estimation and a specification test for non-normal distributional assumption for the accelerated failure time models. Journal of Econometrics. 24(1-2). 159–179. 5 indexed citations
6.
Lee, Lung-Fei. (1983). On maximum likelihood estimation of stochastic frontier production models. Journal of Econometrics. 23(2). 269–274. 20 indexed citations
7.
Lee, Lung-Fei. (1983). The determination of moments of the doubly truncated multivariate normal tobit model. Economics Letters. 11(3). 245–250. 8 indexed citations
8.
Lee, Lung-Fei, G. S. Maddala, & Robert P. Trost. (1982). Testing for Structural Change by D-Methods in Switching Simultaneous Equations Models.. 17 indexed citations
9.
Lee, Lung-Fei. (1982). Test for normality in the econometric disequilibrium markets model. Journal of Econometrics. 19(1). 109–123. 4 indexed citations
10.
Lee, Lung-Fei. (1979). On the Estimation of Multiple Equations Error Components Regression Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1 indexed citations
11.
Lee, Lung-Fei. (1979). Efficient Estimation of Dynamic Error Components Models with Panel Data. University of Minnesota Digital Conservancy (University of Minnesota). 8 indexed citations
12.
Lee, Lung-Fei. (1979). Mixed logit and fully recursive logit models. Economics Letters. 3(4). 363–368. 1 indexed citations
13.
Lee, Lung-Fei. (1979). On the first and second moments of the truncated multi-normal distribution and a simple estimator. Economics Letters. 3(2). 165–169. 27 indexed citations
14.
Lee, Lung-Fei & Robert P. Trost. (1978). Estimation of some limited dependent variable models with application to housing demand. Journal of Econometrics. 8(3). 357–382. 243 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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