3 citations · 5 across the 4 of their papers we have counts for
4 papers
Sensitivity Analysis for Survey Weights
Erin Hartman, Melody Huang
Survey weighting allows researchers to account for bias in survey samples, due to unit nonresponse or convenience sampling, using measured demographic covariates. Unfortunately, in…
Kpop: A kernel balancing approach for reducing specification assumptions in survey weighting
Erin Hartman, Chad Hazlett, Ciara Sterbenz
With the precipitous decline in response rates, researchers and pollsters have been left with highly non-representative samples, relying on constructed weights to make these sample…
Multilevel calibration weighting for survey data
Eli Ben-Michael, Avi Feller, Erin Hartman
In the November 2016 U.S. presidential election, many state level public opinion polls, particularly in the Upper Midwest, incorrectly predicted the winning candidate. One leading…
Covariate Selection for Generalizing Experimental Results: Application to Large-Scale Development Program in Uganda
Naoki Egami, Erin Hartman
Generalizing estimates of causal effects from an experiment to a target population is of interest to scientists. However, researchers are usually constrained by available covariate…