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Guido W Imbens

Guido W Imbens

Stanford University · Economics

Active 1987–2026

h-index109
Citations92.8k
Papers51383 last 5y
Funding$135k

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

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About

Guido W Imbens is an Applied Econometrics Professor at the Graduate School of Business and a Professor of Economics at the School of Humanities & Sciences at Stanford University. He is also a Senior Fellow at the Stanford Institute for Economic Policy Research and a member of the Academic Council. His research focuses on developing methods for drawing causal inferences in observational studies, utilizing techniques such as matching, instrumental variables, and regression discontinuity designs. Imbens has been recognized for his significant contributions to econometrics and statistics, notably being awarded the 2021 Nobel Sveriges Riksbank Prize in Economic Sciences for his work in these areas. He is a distinguished member of the academic community, with a notable record of research achievements and honors.

Research topics

  • Econometrics
  • Computer science
  • Statistics
  • Mathematics
  • Economics

Selected publications

  • On synthetic difference-in-differences and related estimation methods in Stata

    The Stata Journal Promoting communications on statistics and Stata · 2024-12-01 · 62 citations

    articleOpen accessSenior author

    In this article, we describe a computational implementation of the synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021, American Economic Review 111: 4088-4118) for Stata. SDID can be used in many circumstances where treatment effects on some particular policy or event are desired and repeated observations on treated and untreated units are available over time. We lay out the theory underlying SDID both when there is a single treatment adoption date and when adoptio…

  • Causal models for longitudinal and panel data: a survey

    Econometrics Journal · 2024-06-28 · 33 citations

    articleOpen accessSenior author

    Summary In this survey we discuss the recent causal panel data literature. This recent literature has focused on credibly estimating causal effects of binary interventions in settings with longitudinal data, emphasising practical advice for empirical researchers. It pays particular attention to heterogeneity in the causal effects, often in situations where few units are treated and with particular structures on the assignment pattern. The literature has extended earlier work on difference-in-dif…

  • Measuring the effects of segregation in the presence of social spillovers: A nonparametric approach

    Journal of Econometrics · 2025-05-12 · 25 citations

    articleOpen access

    In this paper we nonparametrically analyze the effects of reallocating individuals across social groups in the presence of social spillovers. Individuals are either 'high' or 'low' types. Own outcomes may vary with the fraction of high types in one's social group. We characterize the average outcome and inequality effects of small increases in segregation by type. We also provide a measure of average spillover strength. We generalize the setup used by Benabou (1996) and others to study sorting i…

  • Redefine statistical significance

    Artefactual Field Experiments · 2025-01-10 · 21 citations

    articleOpen access
  • The Lifetime Impacts of the New Deal's Youth Employment Program

    The Quarterly Journal of Economics · 2024-06-08 · 9 citations

    articleOpen access

    We study the lifetime effects of the first and largest American youth employment and training program in the United States-the Civilian Conservation Corps (CCC), 1933-1942. We match newly digitized enrollee records to census, World War II enlistment, Social Security, and death records. We find that longer service in the CCC led to improvements in height, health status, longevity, geographic mobility, and lifetime earnings but did not improve short-term labor market outcomes, including employment…

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Awards & honors

  • Member of the National Academy of Sciences
  • Nobel Sveriges Riksbank Prize in Economic Sciences (2021)

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