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...

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...

The purpose of this article is to introduce the technique and main findings of meta-analysis to the reader, who is unfamiliar with the field and has the usual objections. A meta-analysis is a quantitative survey of a literature reporting estimates of the same parameter. The funnel showing the...

The impact of ICT (information and communication technology) on economic performance has been the subject of academic research for several decades, and despite the remarkable and significant innovation in computer technology, usage, and investments, only a small growth in productivity was...

National borders reduce trade, but most estimates of the border effect seem puzzlingly large. We show that major methodological innovations of the last decade combine to shrink the border effect to a one-third reduction in international trade flows worldwide. The border effect varies across...

This paper provides evidence for the role of conferences in generating visibility for academic work, using a "natural experiment": the last-minute cancellation - due to "Hurricane Isaac" - of the 2012 American Political Science Association (APSA) Annual Meeting. We assembled a dataset containing...