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Contributed Papers

Methodology Developments in Miscrosimulation, Privacy, and Neworks

Wed, Aug 7, 2:00 PM - 3:50 PM

Xueya CaiChair

Social Statistics Section

7 Presentations

A dynamic microsimulation model to predict the regional development of every day mobility choices

2:05 PM - 2:20 PM

Co-authors: Petra Stein

Analyzing Life Course Dynamics by Combining Complex Panel Models with Microsimulation Techniques

2:20 PM - 2:35 PM

Dawid Bekalarczyk (University of Duisburg-Essen)

Causal Inference over Stochastic Networks

2:35 PM - 2:50 PM

Co-authors: Mark Handcock (University of California - Los Angeles)

Correlated Models for Aggregated Relational Data and Social Network Sizes

2:50 PM - 3:05 PM

Co-authors: Benjamin Vogel (Montana State University), Breschine Cummins (Montana State University)

Differentially Private Population Quantity Estimates via Survey Weight Regularization

3:05 PM - 3:20 PM

Jeremy Seeman (University of Michigan)

Co-authors: Yajuan Si (University of Michigan), Jerome Reiter (Duke University)

Navigating privacy and utility with multiple imputation, satellite imaging and deep learning

3:20 PM - 3:35 PM

James Bailie (Harvard University)

Co-authors: Mohammad Kakooei (Department of Computer Science and Engineering, Chalmers University of Technology), Xiao-Li Meng (Harvard University), Adel Daoud (Linköping Univsrity)

Using Advanced Panel Data Models for a Dynamic Microsimulation Projecting Life Satisfaction

3:35 PM - 3:50 PM

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