I am a PhD candidate in economics at the European University Institute in Florence, a guest researcher at the University of Oslo and a visiting scholar at the University of Minnesota and the Federal Reserve Bank of Minneapolis.
My research interests are macroeconomics, fiscal policy and computational methods. I also work on household finance and machine learning.
In this talk, I illustrate a Julia workflow to study economic inequality and taxation in the United States. My workflow centers around Taxsim.jl which allows to answer a large number of research questions related to the US tax system. First, I import a widely used survey dataset to show how high and low before-tax incomes evolved since 1960. Next, using Taxsim.jl, I impute taxes paid to compare the evolution of after-tax incomes and to measure the redistributive effect of the tax system.