Andrés Ham

My research interests are in two broad areas. First, Applied Microeconomics, which encompasses topics in Development, Labor, Education, Violence & Crime, Poverty & Inequality, and Displacement & Migration. Second, Applied Econometrics and Data Science, including impact evaluation, data science, machine learning methods and applications, and imputation across surveys in the same year and over time

I am currently studying how green transitions may affect labor markets in developing countries and what governments can do to ensure an equitable road to sustainability; understanding how care policies affect time use, labor market outcomes, gender-based violence, and well-being in households with young children, seniors, and persons with disabilities; investigating how drug trafficking affects outcomes for individuals in transit countries and the resulting implications for migration decisions; and documenting best practices when using machine learning methods to carry out survey-to-survey imputations to estimate poverty rates and trends when welfare data are unavailable. 

Here is my CV in English and Spanish (PDF).