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152 Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-155
Statistical Methods for Data Privacy and Statistical Modeling of Social and Economic Factors — Contributed Papers
Social Statistics Section
Chair(s): Carlos Cinelli, University of Washington
10:35 AM A Formal Privacy Framework for Partially Private Data
Jeremy Seeman, Penn State University; Aleksandra B. Slavkovic, Penn State University; Matthew Reimherr, Penn State University
10:50 AM Posterior Inference on Privatized Data via Data Augmentation MCMC
Jordan Alexander Awan, Purdue University; Ruobin Gong, Rutgers University; Nianqiao Ju, Purdue University; Vinayak Rao, Purdue University
11:05 AM Evaluating the Impact of USDA Broadband Subsidy Programs Using Differentiable Gaussian Random Fields
Joshua Goldstein, Biocomplexity Institute, University of Virginia; Aritra Halder, University of Virginia; Hanna Charankevich, University of Virginia; John Pender, Economic Research Service, USDA; Aaron Schroeder, University of Virginia; Stephanie S Shipp, University of Virginia; Sallie Keller, Biocomplexity Institute, University of Virginia
11:20 AM Changes in Poverty 1995-2016 Using Comprehensive Income and Linked Data
Bruce D Meyer, University of Chicago; Derek Wu, University of Chicago
11:35 AM Income and Inequality Projections in Germany
Jana Emmenegger, German Federal Statistical Office; Monika Obersneider, University of Duisburg-Essen; Petra Stein, University of Duisburg-Essen
11:50 AM Loss Aversion and the Golden Number
Guillermina Jasso, New York University
12:05 PM Floor Discussion