As of 2019, more than 1.2 million Venezuelans have passed through Ecuador and over 400,000 settled in, which amounts to almost 3% of Ecuador's population. This paper analyzes the location choices of Venezuelan migrants within Ecuador and the labor market consequences of these choices, using data...

Ecuador has become the third largest receiver of the 4.3 million Venezuelans that left their country in the last five years, hosting around 10% of them. Little is known about the characteristics of these migrants and their labor market outcomes. This paper fills this gap, analyzing a new large...

Understanding the economic and social effects of the recent global trends of rising market concentration and market power has become a policy priority. To fill this knowledge gap, this paper introduces a simple simulation method, the Welfare and Competition tool (WELCOM), to estimate with...

Using the 2021 and 2022 HFPS for Ecuador, the paper investigates the labor market trajectories of different socio-economic groups. The analysis shows that the employment of older individuals, less-educated workers, and women fell disproportionately. However, while the recovery between 2021 and...

While providing the most reliable method of evaluating social programs, randomized experiments in developing and developed countries alike are accompanied by political risks and ethical issues that jeopardize the chances of adopting them. In this paper we use a unique data set from rural Mexico...

Poverty maps are a useful tool for the targeting of social programs on areas with high concentrations of poverty. However, a static focus on poverty ignores the temporal dimension of poverty. Thus, current nonpoor households still face substantial welfare volatility and are at risk of becoming...

While providing the most reliable method of evaluating social programs, randomized experiments in developing and developed countries alike are accompanied by political risks and ethical issues that jeopardize the chances of adopting them. In this paper we use a unique data set from rural Mexico...