2020 - Jacob Mincer Award, the Society of Labour Economics (SOLE)
2019 - Member of the National Academy of Sciences
2014 - BBVA Foundation Frontiers of Knowledge Award
2014 - Member of Academia Europaea
2012 - IZA Prize in Labor Economics, Institute for the Study of Labor
2002 - Fellow of the American Academy of Arts and Sciences
2001 - Foreign Honorary Member, the American Economic Association
1995 - Yrjö Jahnsson Award
1991 - Fellows of the Econometric Society
Elected Fellow of the European Economic Association
His main research concerns Econometrics, Labour economics, Business economics, Panel data and Statistics. His work deals with themes such as Engel curve, Estimator, Estimation and Labour supply, which intersect with Econometrics. Data modeling, Predetermined variables and Generalized method of moments is closely connected to Monte Carlo method in his research, which is encompassed under the umbrella topic of Estimator.
His study in Labour economics is interdisciplinary in nature, drawing from both Earnings, Tax credit, Inequality and Unemployment. His Panel data research is multidisciplinary, relying on both Competition, Product market, Aggregate productivity and Economic model. His work on Regression, Instrumental variable, Consistent estimator and Score test as part of general Statistics research is often related to Large sample, thus linking different fields of science.
Richard Blundell mostly deals with Labour economics, Econometrics, Consumption, Labour supply and Demographic economics. His biological study spans a wide range of topics, including Incentive, Earnings, Tax credit and Unemployment. He has included themes like Estimator and Estimation in his Econometrics study.
His Estimation research is multidisciplinary, incorporating elements of Unitary state and Identification. His Consumption research includes themes of Microeconomics, Asset and Inequality. The concepts of his Labour supply study are interwoven with issues in Welfare and Human capital.
His scientific interests lie mostly in Labour economics, Demographic economics, Consumption, Econometrics and Inequality. Richard Blundell combines subjects such as Government, Tax reform and Human capital with his study of Labour economics. His studies deal with areas such as Economic growth, Receipt, Disability benefits, Earnings and Drawdown as well as Demographic economics.
His Consumption research incorporates themes from Spite, Panel data, Shock and Time allocation. Richard Blundell works mostly in the field of Econometrics, limiting it down to topics relating to Estimation and, in certain cases, Demand curve. His study in the fields of Economic inequality under the domain of Inequality overlaps with other disciplines such as Replication.
Richard Blundell mainly focuses on Labour economics, Inequality, Econometrics, Consumption and Panel data. His Wage study in the realm of Labour economics connects with subjects such as Affect. His biological study deals with issues like Life course approach, which deal with fields such as Human capital.
His studies in Econometrics integrate themes in fields like Measure and Contrast. His Consumption research integrates issues from Spite, Quantile and Time allocation. His research integrates issues of Asset and Shock in his study of Panel data.
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.
Initial conditions and moment restrictions in dynamic panel data models
Richard Blundell;Stephen R. Bond.
Journal of Econometrics (1998)
Competition and Innovation: an Inverted-U Relationship
Philippe Aghion;Nicholas Bloom;Richard Blundell;Rachel Griffith.
Quarterly Journal of Economics (2005)
Labor supply: a review of alternative approaches
R. Blundell;T. Macurdy.
Handbook of Labor Economics (1999)
GMM Estimation with persistent panel data: an application to production functions
Richard Blundell;Stephen Bond.
Econometric Reviews (1999)
Quadratic Engel Curves and Consumer Demand
James Banks;Richard Blundell;Arthur Lewbel.
The Review of Economics and Statistics (1997)
Market share, market value and innovation in a panel of British manufacturing firms
Richard Blundell;Rachel Griffith;John Van Reenen.
The Review of Economic Studies (1999)
An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply
Richard J. Smith;Richard W. Blundell.
Evaluation Methods for Non‐Experimental Data
Richard Blundell;Monica Costa Dias.
Fiscal Studies (2005)
Consumption inequality and partial insurance
Richard Blundell;Luigi Pistaferri;Ian Preston.
The American Economic Review (2004)
THE EFFECTS OF ENTRY ON INCUMBENT INNOVATION AND PRODUCTIVITY
Philippe Aghion;Richard Blundell;Rachel Griffith;Peter Howitt.
The Review of Economics and Statistics (2009)
Profile was last updated on December 6th, 2021.
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