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06/07/2023
Using Large Language Model Annotations for Valid Downstream Statistical Inference in Social Science: Design-Based Semi-Supervised Learning
In computational social science (CSS), researchers analyze documents to ...
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11/02/2021
Leveraging Population Outcomes to Improve the Generalization of Experimental Results
Generalizing causal estimates in randomized experiments to a broader tar...
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09/04/2021
Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding
Scientists have been interested in estimating causal peer effects to und...
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01/30/2021
Using Multiple Pre-treatment Periods to Improve Difference-in-Differences and Staggered Adoption Design
While difference-in-differences (DID) was originally developed with one ...
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09/05/2019
Covariate Selection for Generalizing Experimental Results
Scientists are interested in generalizing causal effects estimated in an...
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10/18/2018
Identification of Causal Diffusion Effects Using Stationary Causal Directed Acyclic Graphs
Although social scientists have long been interested in the process thro...
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02/06/2018