Zubin Jelveh
Biographic Data
| ID | 5734430 |
|---|---|
| NAME | Zubin Jelveh |
| GIVEN NAMES | Zubin |
| FAMILY NAME | Jelveh |
| SIGNATURE | JELVEH Z |
| AFFILIATIONS | New York University |
| ORCID | 0000-0003-2721-073X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Predicting behavioral health-involved police encounters
Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It
Using Chicago police data, we train a machine learning model to predict the risk of being shot in the next 18 months. Out-of-sample accuracy is strikingly high. A central concern with using police data is “baking in” bias, or overestimating risk for groups likelier to interact with police conditional on behavior. Our predictions, however, accurately recover risk across demographic groups. Legal, ethical, and practical barriers should prevent usin…
Political Language in Economics
Does academic writing in economics reflect the political orientation of economists? We use machine learning to measure partisanship in academic economics articles. We predict the observed political behaviour of a subset of economists using phrases from their academic articles, show good out-of-sample predictive accuracy and then predict partisanship for all economists. We then use these predictions to examine patterns of political language in eco…
Dude, Where’s My Treatment Effect? Errors in Administrative Data Linking and the Destruction of Statistical Power in Randomized Experiments
Political Language in Economics
Does academic writing in economics reflect the political orientation of economists? We use machine learning to measure partisanship in academic economics articles. We predict the observed political behaviour of a subset of economists using phrases from their academic articles, show good out-of-sample predictive accuracy and then predict partisanship for all economists. We then use these predictions to examine patterns of political language in eco…
Dude, Where’s My Treatment Effect? Errors in Administrative Data Linking and the Destruction of Statistical Power in Randomized Experiments
Political Language in Economics
Does academic writing in economics reflect the political orientation of economists? We use machine learning to measure partisanship in academic economics articles. We predict the observed political behaviour of a subset of economists using phrases from their academic articles, show good out-of-sample predictive accuracy and then predict partisanship for all economists. We then use these predictions to examine patterns of political language in eco…
Predicting behavioral health-involved police encounters
Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It
Using Chicago police data, we train a machine learning model to predict the risk of being shot in the next 18 months. Out-of-sample accuracy is strikingly high. A central concern with using police data is “baking in” bias, or overestimating risk for groups likelier to interact with police conditional on behavior. Our predictions, however, accurately recover risk across demographic groups. Legal, ethical, and practical barriers should prevent usin…
Artificial Intelligence (2 works) · Computer Science (2 works) · Gun Ownership and Violence Research (2 works) · Artificial Intelligence (1 work) · Corruption and Economic Development (1 work) · Crime Patterns and Interventions (1 work) · Criminal Justice and Corrections Analysis (1 work) · Data mining (1 work) · Econometrics (1 work) · Economic Theory and Institutions (1 work)