James J. Heckman

34.6k total citations · 4 hit papers
22 papers, 23.7k citations indexed

About

James J. Heckman is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Accounting. According to data from OpenAlex, James J. Heckman has authored 22 papers receiving a total of 23.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 3 papers in General Economics, Econometrics and Finance and 3 papers in Accounting. Recurrent topics in James J. Heckman's work include Labor market dynamics and wage inequality (4 papers), Fiscal Policy and Economic Growth (4 papers) and Financial Literacy, Pension, Retirement Analysis (3 papers). James J. Heckman is often cited by papers focused on Labor market dynamics and wage inequality (4 papers), Fiscal Policy and Economic Growth (4 papers) and Financial Literacy, Pension, Retirement Analysis (3 papers). James J. Heckman collaborates with scholars based in United States, Canada and Germany. James J. Heckman's co-authors include Yona Rubinstein, Bo E. Honoré, Peter Siegelman, Jeffrey A. Smith, Petra Todd, Carolyn J. Heinrich, Lance Lochner, Christopher J. Flinn, Pierre‐André Chiappori and Jean Pinquet and has published in prestigious journals such as Journal of the American Statistical Association, American Economic Review and Econometrica.

In The Last Decade

James J. Heckman

22 papers receiving 20.9k citations

Hit Papers

Sample Selection Bias as a Specification Error 1979 2026 1994 2010 1979 2001 1990 1985 5.0k 10.0k 15.0k 20.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Heckman United States 14 10.6k 6.2k 4.8k 3.8k 2.8k 22 23.7k
George A. Akerlof United States 43 14.7k 1.4× 6.0k 1.0× 6.9k 1.4× 3.9k 1.0× 4.2k 1.5× 99 31.2k
Sendhil Mullainathan United States 69 12.7k 1.2× 9.5k 1.5× 9.1k 1.9× 3.4k 0.9× 4.4k 1.6× 173 37.9k
Jerry A. Hausman United States 54 20.6k 2.0× 5.7k 0.9× 4.1k 0.8× 4.9k 1.3× 3.4k 1.2× 170 34.3k
Esther Duflo United States 67 13.8k 1.3× 4.8k 0.8× 7.2k 1.5× 1.7k 0.5× 2.5k 0.9× 153 31.3k
Guido W. Imbens United States 60 14.5k 1.4× 3.4k 0.6× 6.1k 1.3× 1.6k 0.4× 2.1k 0.8× 164 36.1k
Marianne Bertrand United States 48 6.6k 0.6× 6.6k 1.1× 5.7k 1.2× 2.2k 0.6× 2.3k 0.8× 100 18.1k
Abhijit Banerjee United States 70 11.8k 1.1× 3.5k 0.6× 6.3k 1.3× 1.2k 0.3× 3.3k 1.2× 204 23.5k
Alan S. Blinder United States 47 10.0k 0.9× 4.6k 0.7× 2.7k 0.6× 1.5k 0.4× 4.3k 1.5× 170 17.0k
Joshua D. Angrist United States 60 13.8k 1.3× 3.6k 0.6× 9.2k 1.9× 1.8k 0.5× 2.0k 0.7× 165 36.4k
G. S. Maddala United States 36 13.4k 1.3× 3.0k 0.5× 2.9k 0.6× 1.9k 0.5× 3.3k 1.2× 91 22.1k

Countries citing papers authored by James J. Heckman

Since Specialization
Citations

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

Fields of papers citing papers by James J. Heckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Heckman. 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 James J. Heckman. The network helps show where James J. Heckman may publish in the future.

Co-authorship network of co-authors of James J. Heckman

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Heckman. A scholar is included among the top collaborators of James J. Heckman 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 James J. Heckman. James J. Heckman 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.
Heckman, James J., et al.. (2017). The Non-Market Benefits of Education and Ability. SSRN Electronic Journal. 3 indexed citations
2.
Heckman, James J.. (2010). Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy. Journal of Economic Literature. 48(2). 356–398. 227 indexed citations
3.
Heckman, James J., Lance Lochner, & Petra Todd. (2008). Earnings Functions and Rates of Return. SSRN Electronic Journal. 5 indexed citations
4.
Heckman, James J.. (2007). The Economics, Technology and Neuroscience of Human Capability Formation. NBER Working Paper No. 13195.. National Bureau of Economic Research. 13 indexed citations
5.
Heckman, James J.. (2004). Micro Data, Heterogeneity and the Evaluation of Public Policy Part 1. The American Economist. 48(2). 3–25. 5 indexed citations
6.
Heckman, James J. & Jeffrey A. Smith. (2004). The Determinants of Participation in a Social Program: Evidence from a Prototypical Job Training Program. Journal of Labor Economics. 22(2). 243–298. 119 indexed citations
7.
Heckman, James J., Lance Lochner, & Petra Todd. (2003). Fifty Years of Mincer Earnings Regressions. National Bureau of Economic Research. 1 indexed citations
8.
Heckman, James J., et al.. (2003). Adverse Selection and Moral Hazard in Insurance: Can Dynamic Data Help to Distinguish?. Journal of the European Economic Association. 1(2-3). 512–521. 110 indexed citations
9.
Heckman, James J., et al.. (2002). The Performance of Performance Standards. The Journal of Human Resources. 37(4). 778–778. 133 indexed citations
10.
Heckman, James J. & Yona Rubinstein. (2001). The Importance of Noncognitive Skills: Lessons from the GED Testing Program. American Economic Review. 91(2). 145–149. 931 indexed citations breakdown →
11.
Heckman, James J. & Edward E. Leamer. (2001). Handbook of Econometrics Volume 5. 36 indexed citations
12.
Heckman, James J., Hidehiko Ichimura, & Petra Todd. (1998). Matching as an econometric estimator. The Review of Economic Studies. 22 indexed citations
13.
Heckman, James J. & Hidehiko Ichimura. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training. The Review of Economic Studies. 64(221). 605–654. 8 indexed citations
14.
Heckman, James J. & Peter Siegelman. (1993). The Urban Institute Audit Studies: Their Methods and Findings. 211 indexed citations
15.
Heckman, James J. & Bo E. Honoré. (1990). The Empirical Content of the Roy Model. Econometrica. 58(5). 1121–1121. 435 indexed citations breakdown →
16.
Heckman, James J., et al.. (1990). Testing the Mixture of Exponentials Hypothesis and Estimating the Mixing Distribution by the Methods of Moments. Journal of the American Statistical Association. 85(410). 582–582. 12 indexed citations
17.
Heckman, James J., et al.. (1985). Longitudinal Analysis of Labor Market Data. Cambridge University Press eBooks. 357 indexed citations breakdown →
18.
Flinn, Christopher J. & James J. Heckman. (1982). New Methods for Analyzing Individual Event Histories. Sociological Methodology. 13. 99–99. 65 indexed citations
19.
Heckman, James J.. (1979). Sample Selection Bias as a Specification Error. Econometrica. 47(1). 153–153. 20836 indexed citations breakdown →
20.
Heckman, James J. & Kenneth I. Wolpin. (1976). Does the Contract Compliance Program Work? An Analysis of Chicago Data. Industrial and Labor Relations Review. 29(4). 544–544. 14 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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