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Tracking the Credibility Revolution across Fields

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arxiv 2405.20604 v2 pith:S2PUUJZ6 submitted 2024-05-31 econ.GN q-fin.EC

classification econ.GNq-fin.EC
keywords financegrowthacrosscredibilityfieldsrevolutioncontinueddesigns
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This paper updates Currie, Kleven, and Zwiers (2020) by examining the credibility revolution across fields, including finance and macroeconomics, using NBER working papers up to May 2024. While the growth in terms related to identification and research designs have continued, finance and macroeconomics have lagged behind applied micro. Difference-in-differences and regression discontinuity designs have risen since 2002, but the growth in difference-in-difference has been larger, more persistent, and more ubiquitous. In contrast, instrumental variables have stayed flat over this period. Finance and macro, particularly corporate finance, has experienced significant growth in mentions of experimental and quasi-experimental methods and identification over this time period, but a large component of the credibility revolution in finance is due to difference-in-differences. Bartik and shift-share instruments have grown across all fields, with the most pronounced growth in international trade and investment, economic history, and labor studies. Synthetic control has not seen continued growth, and has fallen since 2020.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Efficient Difference-in-Differences and Event Study Estimators

    econ.EM 2025-06 accept novelty 8.0 of 10

    The authors derive closed-form efficient influence functions for DiD and event study parameters under parallel trends, yielding estimators that achieve the smallest possible asymptotic variance.

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