Good policy requires reliable scientific knowledge, but there are many obstacles. Most econometric estimates lack adequate statistical power; some estimates cannot be replicated; publication selection bias (the selective reporting of results) is common; and there is wide variation in the evidence...

In this paper, we report the results of a meta-analysis of 670 estimates extracted from 53 previous research works to estimate the gender wage gap in European emerging markets. A meta-synthesis of collected estimates exhibits that the gender differences have a statistically significant and...

We analyze 1334 estimates from 67 studies that examine the effect of financial development on economic growth. Taken together, the studies imply a positive and statistically significant effect, but individual estimates vary a lot. We find that both research design and heterogeneity in the...

Firms' labor demand responses to wage changes are of key interest in empirical research and policy analysis. However, despite extensive research, estimates of labor demand elasticities remain subject to considerable heterogeneity. In this paper, we conduct a comprehensive meta-regression...

Meta-regression models are increasingly utilized to integrate empirical results across studies while controlling for the potential threats of data-mining and publication bias. We propose extended meta-regression models and evaluate their performance in identifying genuine empirical effects by...

Firms' labor demand responses to wage changes are of key interest in empirical research and policy analysis. However, despite extensive research, estimates of labor demand elasticities remain subject to considerable heterogeneity. In this paper, we conduct a comprehensive meta-regression...