A collection of standard measures of poverty and inequality for microsimulation models.
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Updated
Apr 4, 2023 - Julia
A collection of standard measures of poverty and inequality for microsimulation models.
Reproducibility materials for "Modeling Random Effects Using Global-Local Shrinkage Priors in Small Area Estimation" by Xueying Tang, Malay Ghosh, Neung Soo Ha & Joseph Sedransk
Scripts to generate GeoJSON containing NYC zip codes, community districts, and public use microdata areas (PUMAs) using zip code tabulation areas provided by US Census Bureau. Maintained by @NYCOpportunity
Analyzed Covid-19 data from Washington State to understand the relationship between income, poverty, political affiliation, and age with three Covid-19 outcomes: cases, hospitalizations, deaths. Extracted data from the CDC, Census, and usa.com to assemble a dataset of over 50,000 cases. Linear regression, Chi-Square, outlier analysis, and visual…
Anyone can be rich... for an instant.
A Machine Learning Model for Kentucky Poverty Rate - Code Kentucky Data Analysis 1 Final Project -
Project about AsAm poverty status in NYC
A data Scientist is researching census, crime, and school data for a given neighborhood or district to make predictions about educational outcomes
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