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
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 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.
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.
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.
Sample Selection Bias as a Specification Error
James J. Heckman.
Econometrica (1979)
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)
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)
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)
The Economics and Econometrics of Active Labor Market Programs
James J. Heckman;Robert J. Lalonde;Jeffrey A. Smith.
Handbook of Labor Economics (1999)
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)
Skill Formation and the Economics of Investing in Disadvantaged Children
James J. Heckman.
Science (2006)
Matching As An Econometric Evaluation Estimator
James J. Heckman;Hidehiko Ichimura;Petra Todd.
The Review of Economic Studies (1998)
A METHOD FOR MINIMIZING THE IMPACT OF DISTRIBUTIONAL ASSUMPTIONS IN ECONOMETRIC MODELS FOR DURATION DATA
J. Heckman;B. Singer.
Econometrica (1984)
The Technology of Skill Formation
Flavio Cunha;James J. Heckman.
The American Economic Review (2007)
Yale University
University of Pennsylvania
University of Wisconsin–Madison
National Institutes of Health
University of Pennsylvania
University of Michigan–Ann Arbor
Princeton University
University of British Columbia
University of Chicago
Indiana University
Profile was last updated on December 6th, 2021.
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