8 citations · 8 across the 4 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…
Causal Inference with Video Features as Treatments
Kentaro Nakamura, Adam Breuer, Michael H. Crespin +2
We develop the first statistical methodology for causal inference with video features as treatments. Video is the most engaging content modality on the internet. A central causal q…
Using Embedding Models to Improve Probabilistic Race Prediction
Noah Dasanaike, Kosuke Imai
Estimating racial disparity requires individual-level race data, which are often unavailable due to the sensitivity of collecting such information. To address this problem, many re…
Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012
Adam Breuer, Bryce J. Dietrich, Michael H. Crespin +3
This paper introduces the largest and most comprehensive dataset of US presidential campaign television advertisements, available in digital format. The dataset also includes machi…
Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements
Kosuke Imai, Santiago Olivella, Evan T. R. Rosenman
Prediction of individual's race and ethnicity plays an important role in social science and public health research. Examples include studies of racial disparity in health and votin…