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Ted Enamorado
Title
Cited by
Cited by
Year
Income inequality and violent crime: Evidence from Mexico's drug war
T Enamorado, LF López-Calva, C Rodríguez-Castelán, H Winkler
Journal of development economics 120, 128-143, 2016
4652016
Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records
T Enamorado, B Fifield, K Imai
American Political Science Review 113 (2), 353-371, 2019
3072019
The National News Media’s Effect on Congress: How Fox News Affected Elites in Congress
JD Clinton, T Enamorado
The Journal of Politics 76 (4), 928-943, 2014
1342014
Crime and growth convergence: Evidence from Mexico
T Enamorado, LF López-Calva, C Rodríguez-Castelán
Economics Letters 125 (1), 9-13, 2014
1322014
Validating self-reported turnout by linking public opinion surveys with administrative records
T Enamorado, K Imai
Public Opinion Quarterly 83 (4), 723-748, 2019
702019
Rising Food Prices and Poverty in Latin America: Effects of the 2006-2008 Price Surge
M Robles, J Cuesta, S Duryea, T Enamorado, A Gonzales, V Rodríguez
322008
Jailed while presumed innocent: The demobilizing effects of pretrial incarceration
A McDonough, T Enamorado, T Mendelberg
The Journal of Politics 84 (3), 1777-1790, 2022
302022
Gender wage gaps in central american countries: Evidence from a non-parametric approach. Inter-American Development Bank
T Enamorado, A Izaguirre, H Ñopo
Working Papers Series 111: 1-32, 2009
28*2009
fastlink: Fast probabilistic record linkage with missing data
T Enamorado, B Fifield, K Imai
URL: https://github. com/kosukeimai/fastLink, 2017
20*2017
Active learning for probabilistic record linkage
T Enamorado
Available at SSRN 3257638, 2018
192018
Russian Invasion of Ukraine and Chinese Public Support for War
D Aksoy, T Enamorado, TZ Yang
International Organization 78 (2), 341-360, 2024
182024
The importance of being Ernest, Ekundayo, or Eswari: An interpretable machine learning approach to name-based ethnicity classification
V Jain, T Enamorado, C Rudin
Harvard Data Science Review 4 (3), 2022
122022
User’s guide and codebook for the ANES 2016 time series voter validation supplemental data
T Enamorado, B Fifield, K Imai
American National Election Studies: Technical report Technical Report, 2018
122018
Improving probabilistic models in text classification via active learning
M Bosley, S Kuzushima, T Enamorado, Y Shiraito
American Political Science Review 119 (2), 985-1002, 2025
102025
Probabilistic blocking and distributed Bayesian entity resolution
T Enamorado, RC Steorts
International Conference on Privacy in Statistical Databases, 224-239, 2020
102020
A Primer on Probabilistic Record Linkage
T Enamorado
Handbook of Computational Social Science, Volume 2: Data Science …, 2021
72021
Georgia’s ‘exact match’ law could potentially harm many eligible voters.
T Enamorado
Washington Post, 2018
62018
Surrounded and threatened: how neighborhood composition reduces ethnic voting through intimidation
T Enamorado, S Kosterina
Political Science Research and Methods 10 (1), 68-81, 2022
42022
User’s guide and codebook for the cces 2016 voter validation supplemental data
T Enamorado, B Fifield, K Imai
Technical Report, Cooperative Congressional Election Study, 2018
42018
Scaling data from multiple sources
T Enamorado, G López-Moctezuma, M Ratkovic
Political Analysis 29 (2), 212-235, 2021
32021
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