Inchauste, Gabriela

Global Practice on Poverty and Equity, The World Bank
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Fields of Specialization
Fiscal incidence analysis, Poverty and social impact, Economic and social mobility, Informality, Distributional analysis, Public finance, Inequality, Development economics
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Global Practice on Poverty and Equity, The World Bank
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Last updated July 12, 2023
Gabriela Inchauste is a Lead Economist in the Poverty and Equity Global Practice of the World Bank. She currently leads work on Fiscal and Social Policies for poverty reduction and shared prosperity. Her research interests revolve around the distributional impact of fiscal policy, ex-ante analysis of the distributional impacts of policy reforms, and understanding the channels through which economic growth improves labor market opportunities for poverty reduction. Prior to joining the Bank, she worked at the International Monetary Fund and the Inter-American Development Bank where she contributed to operational and analytical activities in a number of countries covering topics such as macroeconomic forecasting, public expenditure policy, poverty and social impact analysis, fiscal and debt sustainability analysis, post-disaster needs assessments, and subsidy reform.She has published articles in academic volumes and journals on fiscal policy in low-income countries, decentralization, the distributional impacts of taxes and social spending, macroeconomic shocks and the poor, the informal sector, and the role of remittances in developing countries. A Bolivian national, she holds a Ph.D. in economics from the University of Texas at Austin.

Publication Search Results

Now showing 1 - 2 of 2
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    Intimate Partner Violence against Women: Prevalence, Formal Reporting, and Risk Factors in Chile
    (World Bank, Washington, DC, 2022-04) Saavedra, Trinidad ; Contreras-Urbina, Manuel ; Inchauste, Gabriela
    Intimate partner violence is among the most common forms of violence against women. In Chile, one in four women who have been in a partner relationship report having experienced some type of partner violence in the past 12 months, whether psychological, physical, sexual, or economic. However, only 22 percent of female victims of intimate partner violence file a formal complaint. This study analyzes the factors that determine the likelihood that a woman will be subject to violence perpetrated by her partner or ex-partner and the factors that determine the probability of reporting the abuse. Individual factors that increase women’s risk of experiencing intimate partner violence include being young, having fewer years of education, having a disability, and having been a victim of sexual abuse in childhood. Other factors include characteristics of partners or ex-partners associated with aggressive behavior in public spaces, having been a victim of intrafamily violence in childhood, and frequent alcohol consumption. The household dynamics that prevent women from participating in economic decision-making and the widespread acceptance of inequitable gender norms also significantly increase the risk that a woman will experience intimate partner violence. The likelihood that a woman will formally report intimate partner violence is mainly determined by the frequency of the episodes, characteristics of the partners or ex-partners, economic empowerment, and whether she has support networks.
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    Why Do People Move across State Borders?: Evidence from Mexico
    (World Bank, Washington, DC, 2023-07-12) Saavedra, Trinidad ; Inchauste, Gabriela
    This study uses the 2020 Census to explore the determinants of interstate migration in Mexico between 2015 and 2020 and the earnings gains from migration. The study analyzes both spatial characteristics (push and pull factors in the origin and destination states) and individual factors that influence the decision to migrate and where to migrate. Push and pull factors are assessed using a gravity-type model. Individual factors are analyzed using a multinomial regression model that accounts for migration reasons. Subsequently, the study measures the impact of internal migration on labor income. Earnings gains are estimated using a double selection model that accounts simultaneously for the decisions to migrate and to work. Finally, the paper discusses some policy recommendations that could help leverage internal migration potential for improving women's labor market outcomes.