59 citations · 118 across the 7 of their papers we have counts for
7 papers
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
Naoki Egami, Musashi Hinck, Brandon M. Stewart +1
In computational social science (CSS), researchers analyze documents to explain social and political phenomena. In most scenarios, CSS researchers first obtain labels for documents…
Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding
Naoki Egami, Eric J. Tchetgen Tchetgen
Scientists have been interested in estimating causal peer effects to understand how people's behaviors are affected by their network peers. However, it is well known that identific…
Using Multiple Pre-treatment Periods to Improve Difference-in-Differences and Staggered Adoption Design
Naoki Egami, Soichiro Yamauchi
While a difference-in-differences (DID) design was originally developed with one pre- and one post-treatment period, data from additional pre-treatment periods are often available.…
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…
Identification of Causal Diffusion Effects Under Structural Stationarity
Naoki Egami
Although social and biomedical scientists have long been interested in the process through which ideas and behaviors diffuse, the identification of causal diffusion effects, also k…
How to Make Causal Inferences Using Texts
Naoki Egami, Christian J. Fong, Justin Grimmer +2
New text as data techniques offer a great promise: the ability to inductively discover measures that are useful for testing social science theories of interest from large collectio…
Spillover Effects in the Presence of Unobserved Networks
Naoki Egami
When experimental subjects can interact with each other, the outcome of one individual may be affected by the treatment status of others. In many social science experiments, such s…