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 94 Citations 87,259 327 World Ranking 65 National Ranking 6

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Law
  • Microeconomics

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.

His most cited work include:

  • Initial conditions and moment restrictions in dynamic panel data models (12680 citations)
  • Competition and Innovation: an Inverted-U Relationship (2174 citations)
  • GMM Estimation with persistent panel data: an application to production functions (1408 citations)

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

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.

He most often published in these fields:

  • Labour economics (28.26%)
  • Econometrics (26.09%)
  • Consumption (17.06%)

What were the highlights of his more recent work (between 2014-2021)?

  • Labour economics (28.26%)
  • Demographic economics (13.38%)
  • Consumption (17.06%)

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

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.

Between 2014 and 2021, his most popular works were:

  • Consumption inequality and family labor supply (122 citations)
  • COVID-19 and Inequalities. (98 citations)
  • FEMALE LABOUR SUPPLY, HUMAN CAPITAL AND WELFARE REFORM (85 citations)

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

  • Statistics
  • Law
  • Microeconomics

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.

Best Publications

Initial conditions and moment restrictions in dynamic panel data models

Richard Blundell;Stephen R. Bond.
Journal of Econometrics (1998)

23155 Citations

Competition and Innovation: an Inverted-U Relationship

Philippe Aghion;Nicholas Bloom;Richard Blundell;Rachel Griffith.
Quarterly Journal of Economics (2005)

5326 Citations

Labor supply: a review of alternative approaches

R. Blundell;T. Macurdy.
Handbook of Labor Economics (1999)

2887 Citations

GMM Estimation with persistent panel data: an application to production functions

Richard Blundell;Stephen Bond.
Econometric Reviews (1999)

2688 Citations

Quadratic Engel Curves and Consumer Demand

James Banks;Richard Blundell;Arthur Lewbel.
The Review of Economics and Statistics (1997)

2139 Citations

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)

1941 Citations

An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply

Richard J. Smith;Richard W. Blundell.
Econometrica (1986)

1418 Citations

Evaluation Methods for Non‐Experimental Data

Richard Blundell;Monica Costa Dias.
Fiscal Studies (2005)

1356 Citations

Consumption inequality and partial insurance

Richard Blundell;Luigi Pistaferri;Ian Preston.
The American Economic Review (2004)

1308 Citations

THE EFFECTS OF ENTRY ON INCUMBENT INNOVATION AND PRODUCTIVITY

Philippe Aghion;Richard Blundell;Rachel Griffith;Peter Howitt.
The Review of Economics and Statistics (2009)

1225 Citations

Best Scientists Citing Richard Blundell

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Simplice A. Asongu

African Governance and Development Institute

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Orazio Attanasio

Orazio Attanasio

Yale University

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John Van Reenen

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MIT

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Marco Vivarelli

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Catholic University of the Sacred Heart

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Philippe Aghion

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London School of Economics and Political Science

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Iftekhar Hasan

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Fordham University

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Ranjan Ray

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Monash University

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Holger Görg

Holger Görg

Kiel Institute for the World Economy

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Costas Meghir

Costas Meghir

Yale University

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Arthur Lewbel

Arthur Lewbel

Boston College

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Arthur van Soest

Arthur van Soest

Tilburg University

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Thomas F. Crossley

Thomas F. Crossley

European University Institute

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Jacques Mairesse

Jacques Mairesse

Maastricht University

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Mike Brewer

Mike Brewer

University of Essex

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Luigi Pistaferri

Luigi Pistaferri

Stanford University

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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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