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Details about Aaron R Kaufman

Homepage:http://www.aaronrkaufman.com
Workplace:Institute for Quantitative Social Science, Harvard University, (more information at EDIRC)
Economics, New York University Abu Dhabi, (more information at EDIRC)

Access statistics for papers by Aaron R Kaufman.

Last updated 2024-01-06. Update your information in the RePEc Author Service.

Short-id: pka1569


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Working Papers

2022

  1. Are Firms Gerrymandered?
    Working Papers, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State Downloads

Journal Articles

2024

  1. Heuristic Projection: Why Interest Group Cues May Fail to Help Citizens Hold Politicians Accountable
    British Journal of Political Science, 2024, 54, (1), 69-87 Downloads
  2. Presidential policymaking, 1877–2020
    Political Science Research and Methods, 2024, 12, (4), 687-705 Downloads
  3. Selecting More Informative Training Sets with Fewer Observations
    Political Analysis, 2024, 32, (1), 133-139 Downloads

2023

  1. The Ideologies of Organized Interests and Amicus Curiae Briefs: Large-Scale, Social Network Imputation of Ideal Points
    Political Analysis, 2023, 31, (3), 396-413 Downloads

2022

  1. Adaptive Fuzzy String Matching: How to Merge Datasets with Only One (Messy) Identifying Field
    Political Analysis, 2022, 30, (4), 590-596 Downloads

2020

  1. Implementing novel, flexible, and powerful survey designs in R Shiny
    PLOS ONE, 2020, 15, (4), 1-15 Downloads
  2. Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
    Political Analysis, 2020, 28, (4), 445-468 Downloads View citations (10)
  3. The political consequences of opioid overdoses
    PLOS ONE, 2020, 15, (8), 1-10 Downloads View citations (3)

2019

  1. Can Violent Protest Change Local Policy Support? Evidence from the Aftermath of the 1992 Los Angeles Riot
    American Political Science Review, 2019, 113, (4), 1012-1028 Downloads View citations (11)
  2. Improving Supreme Court Forecasting Using Boosted Decision Trees
    Political Analysis, 2019, 27, (3), 381-387 Downloads View citations (5)

2015

  1. A mixture-of-modelers approach to forecasting NCAA tournament outcomes
    Journal of Quantitative Analysis in Sports, 2015, 11, (1), 13-27 Downloads View citations (5)
 
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