ipums

Analysis of work from home IPUMS datawo

A collection of code notebooks designed to support researchers, analysts, and data enthusiasts create reproducible spatial workflows in R. Designed in collaboration with IPUMS and the NSF I-GUIDE.

Analysis of US mortality rates.

Automated ACS-HUD data linking for housing analysis: eligibility and protected-class flags, and analysis-ready county summaries.

Paper Replication: The Growth of Low-Skill Service Jobs and the Polarization of the U.S. Labor Market (AER 2013)

Analysis of the number of immigrant doctors in the US

FIPS Codes for the States and the District of Columbia

A Python Library for working with IPUMS

Analysis of Smith County commute times using ACS data.

R package for analysing IPUMS data

MCP server for the IPUMS API — microdata (USA/CPS/IPUMSI/ACS) + NHGIS aggregate/GIS data

A package for the ipums API.

Analysis of urban/rural divide for WFH workers

Stata microeconometrics report on education and high-skill employment using 2011 Netherlands IPUMS data.

Easy access to IPUMS data using {ipumsr}

Migration in Mozambique

Quantitative research and coursework for ECON 448: Comparative Economic Development. Features an econometric analysis of female labor market outcomes in Mexico and Brazil (1990–2000) using IPUMS International microdata.

Reproducible NHGIS/GVA data pipeline for an honors paper linking structural inequality to social vulnerability, tested on gun violence in California at tract level

Capital-structure determinants (Compustat via WRDS API) and wage prediction (2020 ACS via IPUMS API): OLS, fixed effects, stepwise, Lasso, Ridge, random forest

Python script to extract variables from NHGIS iPUMS aggregate datasets