Moshe Buchinsky
- Economics and Econometrics top 0.5%
- Labor market dynamics and wage inequality 10
- Regional Economics and Spatial Analysis 5
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 8
- Advanced Statistical Methods and Models 4
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- Monetary Policy and Economic Impact 6
- Finance top 2%
- Accounting top 2%
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- Retirement, Disability, and Employment 6
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- Urban, Neighborhood, and Segregation Studies 4
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- Gender, Labor, and Family Dynamics 3
Moshe Buchinsky
34 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Economics and Econometrics 2.0k
- Statistics and Probability 577
- General Economics, Econometrics and Finance 434
- Finance 415
- Accounting 396
Countries citing papers authored by Moshe Buchinsky
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
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
The 14 scholars most cited alongside Moshe Buchinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 5 | |
| 3 | 2016 | 7 | |
| 4 | 2010 | 77 | |
| 5 | 2010 | 15 | |
| 6 | 2009 | 3 | |
| 7 | 2008 | 18 | |
| 8 | 2006 | 5 | |
| 9 | 2004 | 170 | |
| 10 | Francs or Ranks? Earnings Mobility in France, 1967-1999 | 2003 | 14 |
| 11 | 2003 | 2 | |
| 12 | 2001 | 51 | |
| 13 | 2000 | 207 | |
| 14 | 1998 | 1 | |
| 15 | 1998 | 240 | |
| 16 | On the Number of Bootstrap Repetitions for Bootstrap Standard Errors, Confidence Internals, and Tests | 1996 | 4 |
| 17 | 1995 | 324 | |
| 18 | 1995 | 119 | |
| 19 | Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regressionbreakdown → | 1994 | 766 |
| 20 | The theory and practice of quantile regression | 1991 | 21 |
About Moshe Buchinsky
Moshe Buchinsky is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance, Economics and Econometrics, Demography and Safety Research, having authored 35 papers that have together received 3.5k indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (10 papers), Statistical Methods and Inference (8 papers), Monetary Policy and Economic Impact (6 papers), Retirement, Disability, and Employment (6 papers), Regional Economics and Spatial Analysis (5 papers), Advanced Statistical Methods and Models (4 papers), Urban, Neighborhood, and Segregation Studies (4 papers) and Gender, Labor, and Family Dynamics (3 papers). The work is most often cited by research in Economics and Econometrics (2.0k citations), Statistics and Probability (577 citations), General Economics, Econometrics and Finance (434 citations), Finance (415 citations) and Accounting (396 citations). Moshe Buchinsky has collaborated with scholars based in United States, France and Ireland. Frequent 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. Their work appears in journals such as Journal of Econometrics, Econometrica, Labour Economics, Journal of Applied Econometrics and The Journal of Human Resources.
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.