Recent surveys of the literature on climate change and migration emphasize the important diversity of outcomes and approaches of the empirical studies. In this paper, we conduct a meta-analysis in order to investigate the role of the methodological choices of these empirical studies in finding...

We adopt the Jackknife Model Averaging (JMA) technique to conduct a meta-regression analysis of 925 renminbi (RMB) misalignment estimates generated by 69 studies. The JMA method accounts for model selection and sampling uncertainties, and allows for non-nested model specifications and...

We provide the first quantitative synthesis of the literature on how financial markets react to the disclosure of financial crimes committed by listed firms. While consensus expects negative stock price returns, the exact size of the effect is far from clear. We survey 111 studies published over...

We perform a Meta-Regression Analysis (MRA) of the literature on government size and corruption, examining 450 empirical estimates retrieved from 44 primary papers published from 1998 to 2022. We find considerable heterogeneity in the results, mainly depending on whether the paper is published...

Qualitative interviews are one of the fundamental tools of empirical social science research and give individuals the opportunity to explain how they understand and interpret the world, allowing researchers to capture detailed and nuanced insights into complex phenomena. However, qualitative...

We analyze diverse and heterogenous literature to grasp the general effect size of financial development on economic growth on a world scale. For that, we perform by far the largest available meta-analysis of the finance-growth nexus using 3561 estimates collected from 177 studies. Our...

In this article, we use a meta-analysis to examine the performance of socially responsible investing (SRI). After a thorough literature search, we review 153 empirical studies containing 1,047 observations of SRI performance. We find that, on average, SRI neither outperforms nor underperforms...

We propose a new method to design a short survey measure of a complex concept such as women's agency. The approach combines mixed-methods data collection and machine learning. We select the best survey questions based on how strongly correlated they are with a "gold standard" measure of the...

Recent large-scale replications of social science experiments provide important information on the reliability of experimental research. Unfortunately, there exist no mechanisms to ensure replications are done. We propose such a mechanism: journal-based replication, in which the publishing...