Conventional meta-analyses of correlations are biased due to the correlation between the estimated correlation and its standard error. Simulations that are closely calibrated to match actual research conditions widely seen across correlational studies in psychology corroborate these biases and...

Card and Krueger’s (1995a) meta-analysis of the employment effects of minimum wages challenged existing theory. Unfortunately, their meta-analysis confused publication selection with the absence of a genuine empirical effect. We apply recently developed meta-analysis methods to 64 US minimum...

Publication selection bias represents a serious challenge to the integrity of all empirical sciences. We develop meta-regression approximations that are shown to reduce this bias and outperform conventional meta-analytic methods. Our approach is derived from Taylor polynomial approximations to...

We demonstrate that all meta-analyses of partial correlations are biased, and yet hundreds of meta-analyses of partial correlation coefficients (PCC) are conducted each year widely across economics, business, education, psychology, and medical research. To address these biases, we offer a new...

This paper provides concise, nontechnical, step-by-step guidelines on how to conduct a modern meta-analysis, especially in social sciences. We treat publication bias, p-hacking, and heterogeneity as phenomena meta-analysts must always confront. To this end, we provide concrete methodological...

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...

The effect on aid allocation of the income level and population size in the recipient country is analyzed. The data show that both variables have a significant and robust negative effect, but they explain only a small part of the variation. The main thrust of the paper is a meta-analysis of the...

This study challenges two core conventional meta-analysis methods: fixed effect and random effects. We show how and explain why an unrestricted weighted least squares estimator is superior to conventional random-effects meta-analysis when there is publication (or small-sample) bias and better...

A number of conflicting theoretical hypotheses have been advanced regarding the impact of unions on investment behavior. The net impact of unions on investment is thus an empirical issue. In this paper the available empirical literature is reviewed. In addition, new evidence of the impact of...

The authors have previously surveyed the AEL, aid (empirical) effectiveness literature, using the technique of meta-analysis. We reached the result that the small positive effect of aid on growth found in the average study is mostly a publication selection bias. This present study concentrates...