4 papers
Pre-Trained Language Models as Zero-Shot Tools for Social Science Research
Noah Dasanaike
Record linkage and demographic inference from names are routine demands in social science. Most approaches to these problems require labeled training data that are difficult or cos…
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…
EnsembleLink: Accurate Record Linkage Without Training Data
Noah Dasanaike
Record linkage, the process of matching records that refer to the same entity across datasets, is essential to empirical social science but remains methodologically underdeveloped.…
Large Language Models Naively Recover Ethnicity from Individual Records
Noah Dasanaike
I demonstrate that large language models can infer ethnicity from names with accuracy exceeding that of Bayesian Improved Surname Geocoding (BISG) without additional training data,…