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 78 Citations 41,182 153 World Ranking 148 National Ranking 110

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 he is best known for:

  • Statistics
  • Finance
  • Law

David Laibson mostly deals with Genome-wide association study, Actuarial science, Genetics, Finance and Intertemporal choice. His Genome-wide association study research includes elements of Polymorphism and Genetic association. His Actuarial science research incorporates themes from Mutual fund separation theorem, Search cost and Default.

His work carried out in the field of Intertemporal choice brings together such families of science as Cognition, Temporal discounting, Predictive power, Range and Posterior parietal cortex. As part of the same scientific family, David Laibson usually focuses on Temporal discounting, concentrating on Developmental psychology and intersecting with Time preference. His Precautionary savings study integrates concerns from other disciplines, such as Microeconomics and Hyperbolic discounting.

His most cited work include:

  • Golden Eggs and Hyperbolic Discounting (3973 citations)
  • Separate Neural Systems Value Immediate and Delayed Monetary Rewards (2311 citations)
  • An Economic Approach to Social Capital (1212 citations)

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

David Laibson spends much of his time researching Actuarial science, Econometrics, Microeconomics, Consumption and Asset allocation. He focuses mostly in the field of Actuarial science, narrowing it down to topics relating to Investment and, in certain cases, Labour economics and Asset. His studies deal with areas such as Discount function and Preference as well as Econometrics.

His primary area of study in Microeconomics is in the field of Dynamic inconsistency. His Consumption research incorporates elements of Monetary economics and Hyperbolic discounting. His Asset allocation research focuses on Public economics and how it relates to Payment and Behavioral economics.

He most often published in these fields:

  • Actuarial science (32.56%)
  • Econometrics (18.24%)
  • Microeconomics (18.24%)

What were the highlights of his more recent work (between 2016-2021)?

  • Genome-wide association study (8.55%)
  • Behavioral economics (11.55%)
  • Consumption (16.17%)

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

His main research concerns Genome-wide association study, Behavioral economics, Consumption, Econometrics and Actuarial science. His research in Genome-wide association study intersects with topics in Multi trait, Computational biology, Genetic association and Summary statistics. His research in Behavioral economics focuses on subjects like Choice architecture, which are connected to Key, Default, Pharmacy and Incentive.

He has included themes like Social influence, Payment, Public economics and Asset allocation in his Consumption study. His work deals with themes such as Discount function, Variance, Preference and Event, which intersect with Econometrics. In his study, Foreclosure, Standard deviation and Loan is strongly linked to Point estimation, which falls under the umbrella field of Actuarial science.

Between 2016 and 2021, his most popular works were:

  • Redefine statistical significance (993 citations)
  • Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (770 citations)
  • Multi-trait analysis of genome-wide association summary statistics using MTAG. (290 citations)

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

  • Statistics
  • Finance
  • Law

The scientist’s investigation covers issues in Genome-wide association study, Multi trait, Actuarial science, Econometrics and Computational biology. David Laibson interconnects SNP and Genetic association in the investigation of issues within Genome-wide association study. David Laibson combines subjects such as Genomics and Summary statistics with his study of Multi trait.

In his work, David Laibson performs multidisciplinary research in Actuarial science and Square. As a member of one scientific family, David Laibson mostly works in the field of Econometrics, focusing on Statistical significance and, on occasion, Replication crisis. The various areas that David Laibson examines in his Single-nucleotide polymorphism study include Behavioural genetics and Medical genetics.

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)

7080 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)

3759 Citations

An Economic Approach to Social Capital

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

2626 Citations

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

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

1706 Citations

Redefine statistical significance

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

1261 Citations

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

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

1191 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)

1072 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)

924 Citations

For Better or for Worse: Default Effects and 401(k) Savings Behavior

James J Choi;David Laibson;Brigitte C Madrian;Andrew Metrick.
National Bureau of Economic Research (2004)

876 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)

867 Citations

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