Eugenio Paglino's Projects
Using age-specific mortality rates to estimate cause-specific mortality rates for countries without cause-of-death data.
School dropout is a major problem in developing countries and it impairs their ability to create human capital. Using machine learning models schools could identify and target the students at risk of dropping out and enroll them in a support program while keeping the total cost as low as possible. Using data from the India Human Development Survey, we show that it is possible to reach 70% of the students at risk by enrolling in the program ~23% of the kids. If a model similar to the ones we propose would be widely adopted it would increase the cost-effectiveness of programs targeted at keeping kids in education allowing both to reduce the prevalence of dropout and use the available resources efficiently.
An interactive visualisation that shows how fertility and marital histories differ by demographic characteristics of individuals. The visualisation has been designed as a too for teachers and researchers to graphically illustrate the transition in fertility and marriage patterns occurred over the last century.
Config files for my GitHub profile.
Personal Website
This repository contains the data files and the code needed to construct a complete time series of county-to-county migration flows for the period 1998-2015 based on IRS-SOI Migration Data. In addition, I've uploaded also the python scripts I've used to analyse how flows and ties changed after Hurricanes Katrina and Sandy.
The aim of this project is to investigate recovery of communities hit by floods in the Indian state of Bihar using nightlights data from NASA to measure economic activity before and after the flood.
This repository aims at creating a python package to monitor the stock of migrants (with different origins) in different destinations countries (i.e. the stock of immigrants of Mexican origin in the United States.
Small Area Estimation Workshop for UPenn Sociology and Demography Quantitative Methodology Working Group
Miscellaneous material on spatial data analysis.