Moshe Buchinsky

5.5k total citations · 2 hit papers
35 papers, 3.5k citations indexed

About

Moshe Buchinsky is a scholar working on Economics and Econometrics, Sociology and Political Science and Statistics and Probability. According to data from OpenAlex, Moshe Buchinsky has authored 35 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 11 papers in Sociology and Political Science and 8 papers in Statistics and Probability. Recurrent topics in Moshe Buchinsky's work include Labor market dynamics and wage inequality (10 papers), Statistical Methods and Inference (8 papers) and Monetary Policy and Economic Impact (6 papers). Moshe Buchinsky is often cited by papers focused on Labor market dynamics and wage inequality (10 papers), Statistical Methods and Inference (8 papers) and Monetary Policy and Economic Impact (6 papers). Moshe Buchinsky collaborates with scholars based in United States, France and Ireland. Moshe Buchinsky's co-authors include Donald W. K. Andrews, Jinyong Hahn, John Rust, Hugo Benı́tez-Silva, Denis Fougère, Françis Kramarz, Rusty Tchernis, Ben Polak, Phillip Leslie and Gary S. Fields and has published in prestigious journals such as Econometrica, Journal of Econometrics and The Review of Economic Studies.

In The Last Decade

Moshe Buchinsky

34 papers receiving 3.2k citations

Hit Papers

Recent Advances in Quantile Regression Models: A Practica... 1994 2026 2004 2015 1998 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moshe Buchinsky United States 17 2.0k 577 559 467 434 35 3.5k
Regina Baker United States 4 1.6k 0.8× 448 0.8× 862 1.5× 459 1.0× 398 0.9× 8 3.5k
José A. F. Machado Portugal 15 2.6k 1.3× 541 0.9× 472 0.8× 289 0.6× 594 1.4× 28 4.1k
Alexis Diamond United States 11 2.8k 1.4× 586 1.0× 1.4k 2.5× 632 1.4× 623 1.4× 16 6.0k
David A. Jaeger United States 16 2.2k 1.1× 475 0.8× 1.6k 2.8× 682 1.5× 457 1.1× 43 4.9k
Stephen G. Donald United States 24 1.9k 1.0× 762 1.3× 602 1.1× 292 0.6× 730 1.7× 46 4.0k
Edward Vytlacil United States 26 2.3k 1.2× 1.4k 2.4× 918 1.6× 363 0.8× 233 0.5× 48 4.2k
Geert Ridder United States 27 2.1k 1.0× 1.2k 2.1× 572 1.0× 490 1.0× 322 0.7× 89 4.0k
Xavier D’Haultfœuille France 19 1.9k 0.9× 338 0.6× 731 1.3× 329 0.7× 331 0.8× 53 3.7k
Bo E. Honoré United States 20 1.6k 0.8× 619 1.1× 349 0.6× 223 0.5× 359 0.8× 45 2.6k
Wilbert van der Klaauw United States 30 2.4k 1.2× 406 0.7× 886 1.6× 601 1.3× 542 1.2× 119 4.8k

Countries citing papers authored by Moshe Buchinsky

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Buchinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Buchinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Buchinsky. A scholar is included among the top collaborators of Moshe Buchinsky 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 Moshe Buchinsky. Moshe Buchinsky 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
1.
Buchinsky, Moshe, et al.. (2023). Residential location and the male-female gap in labor market outcomes—a lesson from newcomers to israel. Labour Economics. 81. 102320–102320. 1 indexed citations
2.
Buchinsky, Moshe, et al.. (2021). Playing catch up: A term-level investigation of the racial gap in STEM retention. Economics of Education Review. 83. 102146–102146. 5 indexed citations
3.
Baird, Matthew, et al.. (2016). Decomposing the Racial Gap in STEM Major Attrition: A Course-Level Investigation. RAND Corporation eBooks. 7 indexed citations
4.
Buchinsky, Moshe, Denis Fougère, Françis Kramarz, & Rusty Tchernis. (2010). Interfirm Mobility, Wages and the Returns to Seniority and Experience in the United States. The Review of Economic Studies. 77(3). 972–1001. 77 indexed citations
5.
Buchinsky, Moshe & Phillip Leslie. (2010). Educational Attainment and the Changing U.S. Wage Structure: Dynamic Implications on Young Individuals’ Choices. Journal of Labor Economics. 28(3). 541–594. 15 indexed citations
6.
Buchinsky, Moshe, Denis Fougère, Françis Kramarz, & Rusty Tchernis. (2009). Interfirm Mobility, Wages and the Return to Seniority and Experience in the U.S.. SSRN Electronic Journal. 3 indexed citations
7.
Buchinsky, Moshe, Denis Fougère, Françis Kramarz, & Rusty Tchernis. (2008). Interfirm Mobility, Wages, and the Returns to Seniority and Experience in the U.S.. SSRN Electronic Journal. 18 indexed citations
8.
Beffy, Magali, et al.. (2006). The Returns to Seniority in France (and Why are They Lower than in the United States?). SSRN Electronic Journal. 5 indexed citations
9.
Benı́tez-Silva, Hugo, et al.. (2004). How large is the bias in self‐reported disability?. Journal of Applied Econometrics. 19(6). 649–670. 170 indexed citations
10.
Buchinsky, Moshe, Gary S. Fields, Denis Fougère, & Françis Kramarz. (2003). Francs or Ranks? Earnings Mobility in France, 1967-1999. OpenGrey (Institut de l'Information Scientifique et Technique). 14 indexed citations
11.
Buchinsky, Moshe, Hugo Benı́tez-Silva, & John Rust. (2003). Using a Life-Cycle Model to Predict Induced Entry Effects of a $1 for $2 Benefit Offset in the SSDI Program. SSRN Electronic Journal. 2 indexed citations
12.
Andrews, Donald W. K. & Moshe Buchinsky. (2001). Evaluation of a three-step method for choosing the number of bootstrap repetitions. Journal of Econometrics. 103(1-2). 345–386. 51 indexed citations
13.
Andrews, Donald W. K. & Moshe Buchinsky. (2000). A Three-step Method for Choosing the Number of Bootstrap Repetitions. Econometrica. 68(1). 23–51. 207 indexed citations
14.
Buchinsky, Moshe, Françis Kramarz, & Denis Fougère. (1998). La mobilité salariale en France : 1967-1987. Revue économique. n° 49(3). 879–890. 1 indexed citations
15.
Buchinsky, Moshe. (1998). The dynamics of changes in the female wage distribution in the USA: a quantile regression approach. Journal of Applied Econometrics. 13(1). 1–30. 240 indexed citations
16.
Andrews, Donald W. K. & Moshe Buchinsky. (1996). On the Number of Bootstrap Repetitions for Bootstrap Standard Errors, Confidence Internals, and Tests. SSRN Electronic Journal. 4 indexed citations
17.
Buchinsky, Moshe. (1995). Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study. Journal of Econometrics. 68(2). 303–338. 324 indexed citations
18.
Buchinsky, Moshe. (1995). Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963–1987. Journal of Econometrics. 65(1). 109–154. 119 indexed citations
19.
Buchinsky, Moshe. (1994). Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression. Econometrica. 62(2). 405–405. 766 indexed citations breakdown →
20.
Buchinsky, Moshe. (1991). The theory and practice of quantile regression. UMI Dissertation Information Service eBooks. 21 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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