104 citations · 104 across the 3 of their papers we have counts for
5 papers
Probabilistic Race and Ethnicity Prediction Using Group-Specific Name Lists
Kyla Chasalow, Noah Dasanaike, Kosuke Imai
Statistically valid estimation of racial and ethnic disparities often requires inferring the probability that an individual belongs to a particular racial or ethnic group given onl…
Improving Minority Population Sampling with BISG Probabilities: Evidence from a Survey of Jewish Americans
Kyla Chasalow, Eitan Hersh, Kosuke Imai +1
Sampling geographically dispersed minority populations poses substantial challenges when individual group membership cannot be directly observed. Although stratified sampling can o…
Missing Data Multiple Imputation for Tabular Q-Learning in Online RL
Kyla Chasalow, Skyler Wu, Susan Murphy
Missing data in online reinforcement learning (RL) poses challenges compared to missing data in standard tabular data or in offline policy learning. The need to impute and act at e…
Algorithms and Decision-Making in the Public Sector
Karen Levy, Kyla Chasalow, Sarah Riley
This article surveys the use of algorithmic systems to support decision-making in the public sector. Governments adopt, procure, and use algorithmic systems to support their functi…
Representativeness in Statistics, Politics, and Machine Learning
Kyla Chasalow, Karen Levy
Representativeness is a foundational yet slippery concept. Though familiar at first blush, it lacks a single precise meaning. Instead, meanings range from typical or characteristic…