D-Index & Metrics Best Publications

Richard Blundell

University College London
United Kingdom

Economics and Finance

2023

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Economics and Finance D-index 98 Citations 90,100 480 World Ranking 66 National Ranking 5

Research.com Recognitions

Awards & Achievements

2023 - Research.com Economics and Finance in United Kingdom Leader Award

2022 - Research.com Economics and Finance in United Kingdom Leader Award

2020 - Jacob Mincer Award, the Society of Labour Economics (SOLE)

2019 - Member of the National Academy of Sciences

2014 - Member of Academia Europaea

2014 - BBVA Foundation Frontiers of Knowledge Award

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 Richard Blundell is best known for:

Statistics
Econometrics
Arithmetic

His work on Ecology as part of general Competition (biology) study is frequently connected to Economic geography, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Richard Blundell connects Ecology with Competition (biology) in his study. He is involved in relevant fields of research such as Nonparametric statistics and Preference in the field of Statistics. His research on Preference frequently links to adjacent areas such as Statistics. Richard Blundell integrates Econometrics with Mathematical economics in his study. His work often combines Mathematical economics and Econometrics studies. He merges Binary number with Arithmetic in his research. He carries out multidisciplinary research, doing studies in Arithmetic and Binary number. His study in Test (biology) extends to Paleontology with its themes.

His most cited work include:

An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply (1042 citations)
Endogeneity in Semiparametric Binary Response Models (248 citations)
Nonparametric Engel Curves and Revealed Preference (216 citations)

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

Richard Blundell is involved in relevant fields of research such as Welfare, Incentive and Labour supply in the realm of Market economy. His studies link Market economy with Incentive. His research on Econometrics often connects related areas such as Nonparametric statistics. Richard Blundell merges Labour economics with Wage in his research. His Artificial intelligence study frequently draws connections to other fields, such as Class (philosophy). His studies link Artificial intelligence with Class (philosophy). Richard Blundell undertakes multidisciplinary investigations into Mathematical analysis and Distribution (mathematics) in his work. In his papers, Richard Blundell integrates diverse fields, such as Distribution (mathematics) and Mathematical analysis. His study brings together the fields of Mechanical engineering and Work (physics).

Richard Blundell most often published in these fields:

Econometrics (70.83%)
Labour economics (54.17%)
Artificial intelligence (29.17%)

What were the highlights of his more recent work (between 2011-2015)?

Artificial intelligence (50.00%)
Applied mathematics (50.00%)
Control (management) (50.00%)

In recent works Richard Blundell was focusing on the following fields of study:

When carried out as part of a general Control (management) research project, his work on Artificial intelligence is frequently linked to work in Applied mathematics, therefore connecting diverse disciplines of study. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Control theory (sociology). His Control theory (sociology) study frequently draws parallels with other fields, such as Control (management). He merges Income inequality metrics with Economic inequality in his research. In his research, Richard Blundell undertakes multidisciplinary study on Economic inequality and Income distribution. His research on Income distribution frequently links to adjacent areas such as Mathematical analysis. Mathematical analysis and Inequality are commonly linked in his work. His Inequality study frequently intersects with other fields, such as Income inequality metrics. Richard Blundell carries out multidisciplinary research, doing studies in Panel data and Econometrics.

Between 2011 and 2015, his most popular works were:

Control functions in nonseparable simultaneous equations models (37 citations)
Innovation and Top Income Inequality (6 citations)

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)

24636 Citations

Competition and Innovation: an Inverted-U Relationship

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

5613 Citations

Labor supply: a review of alternative approaches

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

4229 Citations

Competition and Innovation: An Inverted-U Relationship

Philippe Aghion;Nicholas Bloom;Richard Blundell;Rachel Griffith.
Research Papers in Economics (2002)

3358 Citations

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

Richard Blundell;Stephen R. Bond.
Econometric Reviews (1999)

2897 Citations

Quadratic Engel Curves and Consumer Demand

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

2308 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)

2060 Citations

Alternative Approaches to Evaluation in Empirical Microeconomics

Richard Blundell;Monica Costa Dias.
Research Papers in Economics (2008)

1901 Citations

Initial conditions and moment restrictions in dynamic panel data models

Richard Blundell;Stephen Bond.
Research Papers in Economics (1995)

1501 Citations

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

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

1493 Citations

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Frequent Co-Authors

External Links

Personal Website for Richard Blundell