JOSE R. BUCHELI
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Research

My areas of research include: Migration, remittances, return migration, poverty, and development

Published work

A Look Ahead at the 2020 US Elections: The Role of Candidate Diversity in Political Participation Migration and Violence (2020, AEA Papers & Proceedings)
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An increasingly diverse population in the United States has given rise to a growing body of literature that analyzes the causes and consequences of descriptive representation.  Using individual-level representative data on registration and voting for the entire U.S. over the 2008-2018 decade, we find that diversity in the candidate pool promotes the registration and voting of eligible-to-vote individuals, particularly those belonging to the youngest generations of voters, those located in swing states and growing minorities, as in the case of Hispanic voters. Given the changing electorate, increasing candidate diversity might prove crucial in promoting political and electoral engagement.
Return Migration and Violence (2019, World Development)
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There is reason to suspect that return migrants can reduce social violence in migrant-prone regions of the world. Taking into account that recent research shows positive effects of return migration, we consider that returners may reduce violence by contributing to social renewal and economic growth in their home communities. We estimate the direct effects of return migration in the context of Mexico, a traditionally migrant country that has suffered record levels of violence in the past decade. Using data on homicide rates from 2,456 municipalities for the 2011-2013 period and an instrumental variable bivariate Tobit maximum likelihood approach, we find that higher rates of return migration lead to a decline in local homicide rates. We also show, with a censored quantile instrumental variable (CQIV) model, that municipalities in the bottom quartile of the homicide rate distribution benefit the most from return migration. Our work has important implications for crime reduction policies in developing countries, and specifically in Mexico, where social violence has wreaked havoc on society in recent years.
​Mixed Effects of Remittances on Child Education (2018, IZA Journal of Development and Migration)
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​We exploit the size of the 2010 Ecuadorian Census to estimate the effect of remittances on secondary school enrollment across four key dimensions: gender, household wealth, rural vs. urban, and family migration status. Using a bivariate probit model that accounts for both endogeneity and non-linearity issues, we find both positive and negative effects of remittances on the likelihood of schooling. The strongest positive effects are for poorer, urban males, while the negative effects are for rural females. For children in wealthier households, the effects of remittances are either negative or non-significant. This suggests that the positive income effects of remittances may be offset by the negative effects of a missing parent due to migration, more visible in wealthier families where financial constraints may not be as binding. We find further support for this by estimating the effects of remittances conditional on migration status. Our results show positive effects on schooling for non-migrant households that receive remittances, and no effects for children living in households where at least one parent has migrated. The sharp contrasts within and across groups, while using the same data and econometric specifications, helps explain the lack of consensus in the literature.
Paths to Development? Rural Roads and Multidimensional Poverty in the Hills and Plains of Nepal (2018, Journal of International Development)
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We examine the impact of rural road construction on multidimensional poverty by using Nepal’s Demographic and Health Survey and a difference-in-differences approach. We find reductions in deprivation, mainly driven by asset ownership and dwelling infrastructure, and small or non-significant effects on health and education. Results are robust to different specifications and estimation methods, although we find heterogeneity across groups and dimensions. We argue that the heterogeneity might be driven by labour characteristics, infrastructure requirements, time considerations; and risk assessment and decision-making practices. Our work highlights the importance of multidimensional measures to assess poverty and to evaluate infrastructure projects.

In progress

Return Migration and Economic Development
We estimate the economic development effects of return migration. We find that return migration is significantly associated with improving economic development in Mexico. The effects are mainly driven by education and labor outcomes. Our findings suggest that the benefits of migration extend beyond individuals' tenure abroad, as accumulated capital, skills and social norms acquired abroad have the potential to contribute to development back home. This has important policy implications, especially since in the last decade more migrants have returned to Mexico relative to those who moved to the United States.
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