Over the past several decades, meta-analysis has emerged as a widely accepted tool to understand economics research. Meta-analyses often challenge the established conventional wisdom of their respective fields. We systematically review a wide range of influential meta-analyses in economics and compare them to “conventional wisdom.” After correcting for observable biases, the empirical economic effects are typically much closer to zero and sometimes switch signs. Typically, the relative reduction in effect sizes is 45%–60%.
This is the paper behind a question readers of this site ask often: when a
meta-analysis corrects for publication bias and other observable biases, how far does the number
move from what the field believed? The answer here is a magnitude, not an anecdote. Across the
influential meta-analyses reviewed, corrected effects sit typically 45% to 60% below the
conventional wisdom they were tested against, they are much closer to zero, and in some
literatures they change sign.
What correcting for bias does to a number. Each bar is one of the 24 meta-analyses reviewed in this paper, almost all of them by other researchers — four of the 24 are Havránek’s own. Each compares that meta-analysis’s corrected or best-practice mean with the conventional wisdom of the seminal study named in the paper’s Table 2. Red: the corrected effect is smaller in absolute magnitude than the field believed. Green: larger. Two of them — the minimum wage and gender differences in response to performance pay — came out with the opposite sign, and revised by more than 100%, so their bars are capped at the end of the scale and marked sign flip. The median revision is -62% against the seminal study, -60% against an AI's summary of the prior literature, and -50% against the literature's own simple mean. Numbers from its Tables 2 and 3; 10.1111/joes.12630.
That is the general result which the individual papers collected on this site
illustrate one literature at a time. It is also the reason the
headline results page reports a corrected figure wherever the paper
provides one, and says so where it does not.
Open access. The copy here is the published version, released by the
journal under
CC BY-NC-ND 4.0 — not the
CC BY 4.0 that covers the rest of this site, because the licence on this one is Wiley’s to set
and ten authors hold the copyright. Cite it, quote it, redistribute it whole; for a commercial
use or an adaptation, ask. The
publisher’s page carries the record of
version.
Reference: Sebastian Gechert, Bianka Mey, Matej Opatrny, Tomas Havranek, T. D. Stanley, Pedro R. D. Bom, Hristos Doucouliagos, Philipp Heimberger, Zuzana Irsova, Heiko J. Rachinger (2025), “Conventional wisdom, meta-analysis, and research revision in economics.” Journal of Economic Surveys 39, 980–999. 10.1111/joes.12630