D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Economics and Finance D-index 162 Citations 199,486 389 World Ranking 3 National Ranking 3

Research.com Recognitions

Awards & Achievements

2017 - Distinguished Fellow of the American Economic Association

2016 - Fellow of the American Academy of Political and Social Science

2008 - Fellow of the American Association for the Advancement of Science (AAAS)

2005 - Jacob Mincer Award, the Society of Labour Economics (SOLE)

2001 - Fellow of the American Statistical Association (ASA)

2000 - Nobel Memorial Prize laureates in Economics for his development of theory and methods for analyzing selective samples

2000 - Nobel Prize for his development of theory and methods for analyzing selective samples

1992 - Member of the National Academy of Sciences

1985 - Fellow of the American Academy of Arts and Sciences

1983 - John Bates Clark Medal, the American Economic Association

1980 - Fellows of the Econometric Society

1978 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Law
  • World War II

His scientific interests lie mostly in Econometrics, Labour economics, Earnings, Human capital and Economic growth. The study incorporates disciplines such as Matching, Statistics, Selection bias and Estimator in addition to Econometrics. His research in Selection bias tackles topics such as Program evaluation which are related to areas like Actuarial science.

His studies deal with areas such as Empirical evidence, Wage, Rate of return, Variety and Consumption as well as Earnings. James J. Heckman combines subjects such as Positive economics, Demographic economics, Investment and Child development with his study of Human capital. His Economic growth research is multidisciplinary, incorporating elements of Big Five personality traits and Social experiment.

His most cited work include:

  • Sample Selection Bias as a Specification Error (19925 citations)
  • The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models (4027 citations)
  • Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme (3627 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Econometrics, Labour economics, Earnings, Human capital and Disadvantaged. His Econometrics study integrates concerns from other disciplines, such as Estimator, Statistics and Identification. Estimator and Matching are frequently intertwined in his study.

Specifically, his work in Labour economics is concerned with the study of Wage. His work carried out in the field of Earnings brings together such families of science as Demographic economics and Rate of return. His biological study spans a wide range of topics, including General equilibrium theory and Investment.

He most often published in these fields:

  • Econometrics (35.06%)
  • Labour economics (12.85%)
  • Earnings (11.84%)

What were the highlights of his more recent work (between 2013-2021)?

  • Developmental psychology (8.00%)
  • Econometrics (35.06%)
  • Disadvantaged (7.67%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Developmental psychology, Econometrics, Disadvantaged, Human capital and Labour economics. His Developmental psychology study incorporates themes from Big Five personality traits, Personality and Externality. His research on Econometrics focuses in particular on Discrete choice.

James J. Heckman combines subjects such as Random assignment, Economic model, Early childhood and Early childhood education with his study of Disadvantaged. His research investigates the connection between Human capital and topics such as Educational attainment that intersect with problems in Consumption, Student loan and Natural borrowing limit. His Labour economics research is multidisciplinary, incorporating elements of Social mobility and Investment.

Between 2013 and 2021, his most popular works were:

  • Early childhood investments substantially boost adult health (511 citations)
  • Early childhood investments substantially boost adult health (511 citations)
  • Early childhood investments substantially boost adult health (511 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Law
  • World War II

The scientist’s investigation covers issues in Econometrics, Developmental psychology, Early childhood, Disadvantaged and Discrete choice. His work on Factor analysis as part of general Econometrics study is frequently linked to Dynamic programming model, bridging the gap between disciplines. His Factor analysis research includes elements of Matching, Instrumental variable, Estimator, Conditional independence and Decision problem.

The various areas that James J. Heckman examines in his Developmental psychology study include Personality and Scope. James J. Heckman has included themes like Health equity, Life expectancy, Demography and Treatment and control groups in his Early childhood study. His Disadvantaged research incorporates elements of Social policy, Economic model, Disadvantage, Labour economics and Social issues.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Sample Selection Bias as a Specification Error

James J. Heckman.
Econometrica (1979)

34396 Citations

Sample Selection Bias As a Specification Error (with an Application to the Estimation of Labor Supply Functions)

James J. Heckman.
Research Papers in Economics (1977)

22176 Citations

The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models

James Heckman.
Annals of Economic and Social Measurement (1976)

6859 Citations

Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme

James J. Heckman;Hidehiko Ichimura;Petra E. Todd.
The Review of Economic Studies (1997)

5908 Citations

The Economics and Econometrics of Active Labor Market Programs

James J. Heckman;Robert J. Lalonde;Jeffrey A. Smith.
Handbook of Labor Economics (1999)

4687 Citations

The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior

James J Heckman;Jora Stixrud;Sergio Urzua.
Research Papers in Economics (2006)

4538 Citations

Skill Formation and the Economics of Investing in Disadvantaged Children

James J. Heckman.
Science (2006)

4155 Citations

Matching As An Econometric Evaluation Estimator

James J. Heckman;Hidehiko Ichimura;Petra Todd.
The Review of Economic Studies (1998)

4119 Citations

A METHOD FOR MINIMIZING THE IMPACT OF DISTRIBUTIONAL ASSUMPTIONS IN ECONOMETRIC MODELS FOR DURATION DATA

J. Heckman;B. Singer.
Econometrica (1984)

3657 Citations

The Technology of Skill Formation

Flavio Cunha;James J. Heckman.
The American Economic Review (2007)

3520 Citations

Best Scientists Citing James J. Heckman

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Michael Lechner

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Jere R. Behrman

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Richard Blundell

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Guido W. Imbens

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Gerard J. van den Berg

Gerard J. van den Berg

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Joshua D. Angrist

Joshua D. Angrist

MIT

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Marco Caliendo

Marco Caliendo

University of Potsdam

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David Neumark

David Neumark

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Michael Keane

Michael Keane

UNSW Sydney

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Deborah A. Cobb-Clark

Deborah A. Cobb-Clark

University of Sydney

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Petra E. Todd

Petra E. Todd

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Scott Rozelle

Scott Rozelle

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Orazio Attanasio

Orazio Attanasio

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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