Economics

This paper investigates gender disparities in residential property ownership and tax compliance in a large Argentine municipality using detailed tax administrative data. While ownership is evenly distributed between women, men, and co-owned properties up to the 40th percentile of the value distribution, higher-value properties exhibit significant gender disparities, with women’s share dropping to less than 20% in the top 1%. Tax compliance increases with property value, with an average evasion rate of 46%, and men and women are equally likely to meet their tax obligations across the distribution. However, women face slightly higher effective tax rates due to owning lower-value propert..

This paper develops a framework to analyze partial population experiments, a generalization of the cluster experimental design where clusters are assigned to different treatment intensities. The framework allows for heterogeneity in cluster sizes and outcome distributions. The paper studies the large-sample behavior of OLS estimators and cluster-robust variance estimators and shows that (i) ignoring cluster heterogeneity may result in severely underpowered experiments and (ii) the cluster-robust variance estimator may be upward-biased when clusters are heterogeneous. The paper derives formulas for power, minimum detectable effects, and optimal cluster assignment probabilities. All the result..

Accurate and comprehensive measurement of household livelihoods is critical for monitoring progress toward poverty alleviation and targeting social assistance programs for those who most need it. However, the high cost of traditional data collection has historically made comprehensive measurement a difficult task. This paper evaluates alternative satellite-based deep learning approaches using detailed household census extracts from four African countries to accelerate progress toward comprehensive, fine-scale, and dynamic measurement of poverty at scale. The results indicate that transformer architectures solve multiple open measurement problems, by providing the most accurate measurement of..

This paper analyzes the relationship between intergenerational educational mobility and long-term growth across the world using different mobility measures, comparing absolute mobility indicators with relative mobility indicators. The analysis is carried out across a panel of 68 countries over 2000–20. The results indicate that upward mobility in higher education is positively associated with gross domestic product per capita in Europe and Central Asia, but relative mobility indicators are uncorrelated with country income. In Latin America, higher relative mobility is associated with lower income, and higher absolute mobility is associated with higher income. The remaining regions of ..

Research on the labor market implications of artificial intelligence has focused principally on high-income countries. This paper analyzes this issue using microdata from a large set of low- and middle-income countries, applying a measure of potential artificial intelligence occupational exposure to a harmonized set of labor force surveys for 25 countries, covering a population of 3.5 billion people. The approach advances work by using harmonized microdata at the level of individual workers, which allows for a multivariate analysis of factors associated with exposure. Additionally, unlike earlier papers, the paper uses highly detailed (4 digit) occupation codes, which provide a more reliable..