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Andrei Shleifer

Andrei Shleifer

Harvard University · Economics

Active 1908–2025

h-index200
Citations307.2k
Papers74265 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Andrei Shleifer is the John L. Loeb Professor of Economics at Harvard University. His professional contact information includes an office at Littauer Center M-9, with email ashleifer@harvard.edu and telephone number 617-495-5046. Additional support staff includes Polina Barker, located at Littauer Center M-10, with email polinabarker@fas.harvard.edu and telephone 617-495-4028. The webpage provides links to his CV, publications, working papers, presentations, books, classes, and contact information, indicating his active engagement in academic research and teaching. No further biographical or research details are provided in the text.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Economics
  • Mathematics
  • Cognitive psychology
  • Social psychology
  • Econometrics
  • Statistics
  • Psychology

Selected publications

  • Overreaction in Macroeconomic Expectations

    American Economic Review · 2020 · 604 citations

    Senior authorCorresponding

    We study the rationality of individual and consensus forecasts of macroeconomic and financial variables using the methodology of Coibion and Gorodnichenko (2015), who examine predictability of forecast errors from forecast revisions. We find that individual forecasters typically overreact to news, while consensus forecasts under-react relative to full-information rational expectations. We reconcile these findings within a diagnostic expectations version of a dispersed information learning model.…

  • Memory, Attention, and Choice*

    The Quarterly Journal of Economics · 2020 · 388 citations

    Senior authorCorresponding

    Abstract Building on a textbook description of associative memory (Kahana 2012), we present a model of choice in which a choice option cues recall of similar past experiences. Memory shapes valuation and decisions in two ways. First, recalled experiences form a norm, which serves as an initial anchor for valuation. Second, salient quality and price surprises relative to the norm lead to large adjustments in valuation. The model unifies many well-documented choice puzzles, including the attributi…

  • Belief Overreaction and Stock Market Puzzles

    Journal of Political Economy · 2023-09-06 · 114 citations

    articleSenior author

    We construct an index of long-term expected earnings growth for S&P 500 firms and show that it has remarkable power to jointly predict future errors in expectations and stock returns, in both the aggregate market and the cross section. The evidence supports a mechanism whereby good news causes investors to become too optimistic about long-term earnings growth. This leads to inflated stock prices and, as beliefs are systematically disappointed, subsequent low returns in the aggregate market. Over…

  • Imagining the Future: Memory, Simulation, and Beliefs

    The Review of Economic Studies · 2024-06-27 · 42 citations

    articleOpen accessSenior author

    Abstract How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about COVID we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event, different experiences compete for retrieval, and retrieved experiences are used to simulate the event based on how similar they are to it. The model predicts that different experiences interfere with each other in recall and that…

  • How People Use Statistics

    National Bureau of Economic Research · 2023-08-01 · 24 citations

    reportOpen accessSenior author

    We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis by attending “bottom up” to its salient features while neglecting other, potentially more relevant, ones. Only the statistics associated with salient features are used, others are neglected. The model unifies biases in judgments ab…

Frequent coauthors

  • Robert W. Vishny

    University of Chicago

    313 shared
  • Rafael La Porta

    John Brown University

    245 shared
  • Nicola Gennaioli

    245 shared
  • Simeon Djankov

    London School of Economics and Political Science

    174 shared
  • Florencio López‐de‐Silanes

    SKEMA Business School

    136 shared
  • Edward L. Glaeser

    National Bureau of Economic Research

    124 shared
  • Florencio López de Silanes

    National Bureau of Economic Research

    100 shared
  • Pedro Bordalo

    91 shared

Education

  • B.A., Economics

    Moscow State University

    1985
  • M.A., Economics

    Harvard University

    1987
  • Ph.D., Economics

    Harvard University

    1990

Awards & honors

  • John Bates Clark medal of the American Economic Association…
  • fellow of the Econometric Society
  • fellow of the American Academy of Arts and Sciences
  • fellow of the American Finance Association

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