Orazio Attanasio Publications

Social connections are fundamental to human well-being. We examine the social networks of mothers of young children in rural Odisha, India. Gendered norms around marriage, mobility, and work likely shape this group’s opportunities to form and maintain ties. We track 2,170 mothers’ networks over 4 years and find a high degree of isolation. Wealthier women and women from more-advantaged castes and tribes have smaller networks than their less-advantaged peers, primarily because they know fewer women within their own socioeconomic group. There exists strong but symmetric homophily by socioeconomic group. Socioeconomic differences are associated with toilet ownership and labor force participation.

This paper presents a model of consumption behavior that explains the presence of “wealthy hand-to-mouth” consumers using a mechanism that differs from those analyzed previously. We show that a two-asset model with temptation preferences generates a demand for commitment and thus illiquidity, leading to hand-to-mouth behavior even when liquid assets deliver higher returns than illiquid assets. This preference for illiquidity has important implications for consumption behavior and for fiscal stimulus policies. Our model matches the recent empirical evidence that Marginal Propensity to Consume remain high even for large income shocks, suggesting a larger response to targeted fiscal stimulus than previously believed.

Most empirical work in economics has considered only a narrow set of measures as meaningful and useful to characterize individual behavior, a restriction justified by the difficulties in collecting a wider set. However, this approach often forces the use of strong assumptions to estimate the parameters that inform individual behavior and identify causal links. In this paper, we argue that a more flexible and broader approach to measurement could be extremely useful and allow the estimation of richer and more realistic models that rest on weaker identifying assumptions. We argue that the design of measurement tools should interact with, and depend on, the models economists use. Measurement is not a substitute for rigorous theory, it is an important complement to it, and should be developed in parallel to it. We illustrate these arguments with a model of parental behavior estimated on pilot data that combines conventional measures with novel ones.

Globally, preschool enrollment has surged, but its quality is often poor. We evaluate strategies to improve quality of public preschools in Colombia. The first, designed by the government and rolled out nationwide, provided extra funding, mainly earmarked for hiring teaching assistants. The second also offered low-cost training for existing teachers. The first intervention had no effect on child development, while the second improved children’s cognitive development, especially for more disadvantaged children. This pattern can be explained by the interventions affecting teachers' behavior differently. The first led teachers to reduce their classroom time, including learning activities, while additional training offset the adverse effect on learning activities and improved teaching quality.

Globally women’s labor force participation lags that of men and women, on average, have lower labor market earnings than men. Does economic growth reduce gender disparities in labor market outcomes between women and men? Conversely, do gender inequalities in the labor market impede growth? To inform these questions, we conduct two analyses. First, we estimate regressions using harmonized data on gender gaps in a range of labor market outcomes from 153 countries spanning two decades (1998-2018). Second, we conduct a systematic review of the recent economics literature on gender gaps in labor markets, examining 16 journals over 21 years. Our empirical analysis demonstrates that growth is not a panacea. The relationship between growth and labor market gaps is mixed, and results vary by specification. This result reflects, in part, the gendered nature of structural transformation, in which growth leads men to transition from agriculture to industry and services while many women exit the labor force. Disparities in hours worked and wages persist despite growth, and heterogeneity in trends and levels between regions highlight the importance of local institutions. Newly harmonized microdata further show substantial heterogeneity by education level and marriage status. To better understand whether gender inequalities impeded growth, we explore a nascent literature that shows that reducing gender gaps in labor markets increases aggregate productivity. Our broader review highlights how traditional explanations for gender differences do not adequately explain existing gaps and how policy responses need to be sensitive to the changing nature of economic growth. We conclude by posing open questions for future research.