About

Anujit Chakraborty is an Associate Professor of Economics at UC Davis. He received his Ph.D. in Economics from the University of British Columbia in 2017, where he studied under Professor Yoram Halevy. His educational background also includes a B.E. in Electronics Engineering from Jadavpur University and an M.S. in Economics from the Indian Statistical Institute. His research focuses on the intersection of Economic Theory, Behavioral Economics, and Experimental Economics. His recent work includes the characterization of procrastination and present-biased behavior, as well as establishing links between choice paradoxes in the domains of risk and time behavior.

Research topics

• Computer Science
• Mathematical economics
• Econometrics
• Mathematics
• Microeconomics
• Economics
• Political Science
• Law

Selected publications

• Replication package for "Estimating Present Bias and Sophistication over Effort and Money"

  Zenodo (CERN European Organization for Nuclear Research) · 2026-04-24

  datasetOpen access

  This deposit contains the replication package for the paper “Estimating Present Bias and Sophistication over Effort and Money.” The package includes raw Qualtrics exports and a Prolific administrative export, data-preparation code and intermediate analysis-ready data, MATLAB code for individual-level and aggregate structural estimation, Stata code for the nonparametric and individual-level structural analysis, manuscript figures, and statistical tests, the experimental instructions, and the accepted manuscript source and compiled PDF. The main README file provides detailed information on folder structure, software requirements, execution order, expected runtimes, and the mapping from scripts to manuscript outputs.

  PublisherDOI

• Replication package for "Estimating Present Bias and Sophistication over Effort and Money"

  Zenodo (CERN European Organization for Nuclear Research) · 2026-04-24

  datasetOpen access

  This deposit contains the replication package for the paper “Estimating Present Bias and Sophistication over Effort and Money.” The package includes raw Qualtrics exports and a Prolific administrative export, data-preparation code and intermediate analysis-ready data, MATLAB code for individual-level and aggregate structural estimation, Stata code for the nonparametric and individual-level structural analysis, manuscript figures, and statistical tests, the experimental instructions, and the accepted manuscript source and compiled PDF. The main README file provides detailed information on folder structure, software requirements, execution order, expected runtimes, and the mapping from scripts to manuscript outputs.

  PublisherDOI

• Noisy Foresight

  Journal of the European Economic Association · 2026-03-14

  article1st authorCorresponding

  Abstract In a controlled experiment, we show that decision-makers in a one-player, dynamic setting often fail to think through their own future actions before making initial decisions. This failure to plan at future contingencies implies a lack of perfect foresight, violating a fundamental assumption in dynamic decision problems. We show that neither experience nor prompting subjects to think about their future actions improve behavior. Instead the problem stems from failing to think through how future actions translate to optimal actions in the first period. We then turn to the question of how to model the foresight of such boundedly rational agents. Using the rich dataset we collect, across the five behavioral models we consider, we find that a model in which subjects expect to make less mistakes when the utility consequences of their future actions are more disparate best fits behavior.

  PublisherDOI

• Hiding Identity

  AEA Randomized Controlled Trials · 2025-01-10

  dataset
  PublisherDOI

• The Role of Interpersonal Uncertainty in Prosocial Behavior

  SSRN Electronic Journal · 2025-01-01

  articleOpen access1st authorCorresponding
  PublisherDOI

• Measuring Democracy Using the Wisdom of the Crowds

  SSRN Electronic Journal · 2025-01-01

  preprintOpen accessSenior author
  PublisherDOI

• The value of and demand for diverse news sources

  Games and Economic Behavior · 2025-02-17

  articleOpen accessSenior authorCorresponding
  PublisherOA PDFDOI

• Hiding Identity

  AEA Randomized Controlled Trials · 2025-01-10

  dataset
  PublisherDOI

• Kreps, David M. Arguing about Tastes: Modeling How Context and Experience Change Economic Preferences

  Journal of Economic Literature · 2025-03-01

  article1st authorCorresponding

  Anujit Chakraborty of University of California, Davis reviews “Arguing about Tastes: Modeling How Context and Experience Change Economic Preferences” by David M. Kreps. The Econlit abstract of this book begins: “Explores preference formation and evolution, discussing the interaction between intrinsic motivation and extrinsic incentives in both static situations and in more dynamic contexts.”

  PublisherDOI

• Replication Package for "Noisy Foresight"

  Open MIND · 2025-12-18

  otherSenior author

  This package contains the data, programs and instructions to replicate the manuscript, "Noisy Foresight", by Chakraborty and Kendall forthcoming at JEEA.”

  DOI

Frequent coauthors

• Yoram Halevy

  Hebrew University of Jerusalem

  5 shared

• Chad Kendall

  University of Southern California

  4 shared

• Evan M. Calford

  4 shared

• Arkadev Ghosh

  4 shared

• Matt Lowe

  4 shared

• Nathan Canen

  4 shared

• Gareth Nellis

  4 shared

• Swaprava Nath

  3 shared