IRS Non Profit Financial Data and Political Partisanship
Published: 9 March 2021| Version 3 | DOI: 10.17632/nfgb92wh72.3
Contributors:
Benjamin Ho, , Description
We classified the political ideology of all non-profits in the public IRS 990 Form dataset by using a Bayesian classification of their self-reported mission statements, using a classifier trained on the political speeches of members of Congress.
Files
Steps to reproduce
Downloaded IRS 990 Data from IRS AWS servers and open990. Downloaded Congressional Speech Data from Genztkow and Shapiro's Stanford repository. Ran survey data on Amazon mturk.
Institutions
Vassar College, University of Chicago, KDI School of Public Policy and Management
Categories
Economics, Political Science, Non-Profit Entity