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Over the past decade, 12 of 14 Latin American countries have experienced a reduction in inequality. Based on a series of counterfactual simulations, the observed changes in inequality are decomposed in order to identify the main determinants of inequality. In contrast to methods that focus on aggregate summary statistics, the method adopted in this paper generates counterfactual distributions, so that the analysis can account for changes related to demographics, occupation, labor earnings and transfers, pensions, and other nonlabor income sources. The results show that for the majority of countries in the sample, the most important contributor to the observed decline in inequality has been the relatively strong growth in labor earnings at the bottom of the income distribution. In particular, most of the reduction in inequality can be attributed to an increase in earnings per hour for the bottom of the income distribution. The paper also contributes to the literature on inequality in Latin America by providing the Shapley-Shorrocks value of this decomposition.

Decomposition --- Emerging Markets --- Inequality --- Labor Policies --- Poverty Impact Evaluation --- Poverty Reduction --- Private Sector Development --- Services & Transfers to Poor --- Social Protections and Labor

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What are the impacts of expanding mobile broadband coverage on poverty, household consumption and labor market outcomes in developing countries? Who benefits from improved coverage of mobile internet? To respond to these questions, this paper applies a difference-in-differences estimation using panel household survey data combined with geospatial information on the rollout of mobile broadband coverage in Tanzania. The results reveal that being covered by 3G networks has a large positive effect on total household consumption and poverty reduction, driven by positive impacts on labor market outcomes. Working age individuals living in areas covered by mobile internet witnessed an increase in labor force participation, wage employment, and non-farm self-employment, and a decline in farm employment. These effects vary by age, gender and skill level. Younger and more skilled men benefit the most through higher labor force participation and wage employment, while high-skilled women benefit from transitions from self-employed farm work into non-farm employment.

Broadband --- Consumption --- Employment and Unemployment --- Inequality --- Information and Communication Technologies --- Information Technology --- Internet Access --- Labor Force Participation --- Poverty Reduction --- Social Protections and Labor --- Wages, Compensation and Benefits --- Welfare