Pablo Gluzmann is a senior researcher at the Center for Distributive, Labor and Social Studies (CEDLAS) of Universidad Nacional de La Plata (UNLP). He received her B.A., M.A., and Ph.D. in Economics from UNLP, researcher at the National Scientific and Technical Research Council (CONICET) and associate professor at the UNLP. His research is focused on Inequality, Poverty, Labor Markets and Macroeconomics among others topics. Has been published on journals such as Journal of Development Economics, Economic Letters, World Development, The Stata Jounal, Centro Journal, Latin American Economic Review, Review of Development Economics, Journal of Income Distribution, Journal of International Financial Markets, Institutions and Money, Journal for Labour Market Research, Económica, El Trimestre Económico, Ensayos Económicos. He has also published several chapters of books and working papers at UNDP, WB, IADB, CAF, CEDLAS, IZA, etc.
Economic research strongly depends upon the economist’s ability to identify relevant information for causal inference and forecast accuracy efficiently. We address this goal in our Julia’s ParallelGSReg project, developing different econometric-machine learning packages. In JuliaCon 2023, we will present an improved version of our dimensionality reduction package (including non-linear algorithms) and a new "research acceleration package" with automatized Latex code and AI-bibliographic features.