Ours is the first meta-analysis synthesizing results from econometric studies carried out in the UK to assess the size of the gender wage gap (GWG). Drawing on 90 primary studies published between 1974 and 2024 we assess trends in the gap and identify the substantive and methodological factors...

Women increasingly migrate as primary movers, yet how gender inequality shapes this process remains unclear due to methodological limitations. Competing theories predict that greater gender equality should facilitate women's migration by loosening norms and expanding women's aspirations, whereas...

In developing economies, women entrepreneurs play a vital role in advancing inclusive growth, yet their financial and digital capabilities often remain constrained by gendered barriers. This study investigates how financial literacy evolves into a gender-sensitive capability that drives digital...

Useful social science theories predict behavior across settings. However, applying a theory to make predictions in new settings is challenging: rarely can it be done without ad hoc modifications to account for setting-specific factors. We argue that AI agents put in simulations of those novel...

Eigenvector-based centrality captures recursive notions of importance in networks. While the direct problem computes centrality from given edge weights, the inverse eigenvector centrality problem seeks edge weights that reproduce a prescribed centrality profile; for directed multigraphs, this...

Business ethics research on generalized reciprocity, which focuses on the cascade of gifts induced by unconditional giving, often emphasizes the quality of the resulting interpersonal relationships, overlooking the possible development of interfirm cooperation. Our study addresses this gap by...