D-Index & Metrics Best Publications

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 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 82 Citations 45,355 248 World Ranking 151 National Ranking 114

Research.com Recognitions

Awards & Achievements

2019 - Member of the National Academy of Sciences

2011 - Fellow of the American Academy of Arts and Sciences

2011 - Fellows of the Econometric Society

2001 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study David Laibson is best known for:

  • Personality
  • Neuroticism
  • Genetics

His research in Economic growth tackles topics such as Educational attainment which are related to areas like Law. Law is often connected to Educational attainment in his work. With his scientific publications, his incorporates both Gene and Single-nucleotide polymorphism. His study connects SNP and Single-nucleotide polymorphism. As part of his studies on SNP, David Laibson often connects relevant subjects like Genetics. He brings together Genetics and Heritability to produce work in his papers. In his papers, he integrates diverse fields, such as Heritability and Gene. David Laibson combines Genome-wide association study and Phenotype in his research. In his research, David Laibson performs multidisciplinary study on Phenotype and Genetic association.

His most cited work include:

  • Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (1515 citations)
  • Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses (773 citations)
  • GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment (706 citations)

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

In his research, David Laibson undertakes multidisciplinary study on Genetics and Heritability. He incorporates Heritability and Genetics in his studies. David Laibson integrates Gene with Computational biology in his research. Computational biology and Gene are two areas of study in which David Laibson engages in interdisciplinary research. His study in Multifactorial Inheritance extends to Genotype with its themes. His Single-nucleotide polymorphism research extends to the thematically linked field of Multifactorial Inheritance. In most of his Single-nucleotide polymorphism studies, his work intersects topics such as SNP. His SNP study frequently links to related topics such as Genotype. Genome-wide association study and Phenotype are two areas of study in which David Laibson engages in interdisciplinary research.

David Laibson most often published in these fields:

  • Genetics (68.42%)
  • Gene (63.16%)
  • Genotype (63.16%)

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

Golden Eggs and Hyperbolic Discounting

David I. Laibson.
Quarterly Journal of Economics (1997)

7545 Citations

Separate Neural Systems Value Immediate and Delayed Monetary Rewards

Samuel M. McClure;David I. Laibson;George Loewenstein;Jonathan D. Cohen;Jonathan D. Cohen.
Science (2004)

3974 Citations

An Economic Approach to Social Capital

Edward L. Glaeser;David Laibson;Bruce Sacerdote.
The Economic Journal (2002)

2742 Citations

Redefine statistical significance

Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek.
Nature Human Behaviour (2018)

2045 Citations

SHROUDED ATTRIBUTES, CONSUMER MYOPIA, AND INFORMATION SUPPRESSION IN COMPETITIVE MARKETS

Xavier Gabaix;David I. Laibson.
Quarterly Journal of Economics (2006)

1809 Citations

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong.
Nature Genetics (2018)

1481 Citations

"The Hyperbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation"

George-Marios Angeletos;David Laibson;Andrea Repetto;Jeremy Tobacman.
Journal of Economic Perspectives (2001)

1239 Citations

Genome-wide association study identifies 74 loci associated with educational attainment

Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Nature (2016)

1156 Citations

Time Discounting for Primary Rewards

Samuel M. McClure;Keith M. Ericson;David I. Laibson;David I. Laibson;George Loewenstein.
The Journal of Neuroscience (2007)

1143 Citations

Defined Contribution Pensions: Plan Rules, Participant Choices, and the Path of Least Resistance

James J. Choi;David Laibson;Brigitte C. Madrian;Andrew Metrick.
Tax Policy and the Economy (2002)

950 Citations

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