Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

Activity Details

6	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Learning from Permuted Data and the Analysis of Linked Files — Invited Papers
Government Statistics Section, Survey Research Methods Section, IEEE Computer Society
Organizer(s): Martin Slawski, George Mason Univ
Chair(s): Joseph Lawson, Duke University
10:05 AM	Use of Probabilistic Record Linkage in Multiple-Frame Surveys Partha Lahiri, University of Maryland, College Park; Takumi Saegusa, University of Maryland, College Park
10:35 AM	Dblink: Distributed End-to-End Bayesian Entity Resolution Rebecca C. Steorts, Duke University; Neil Marchant, Melbourne; Ben Rubinstein, Melbourne; Daniel Elzar, ABS; Andee Kaplan, Colorado State University
11:05 AM	Spherical Regression Under Mismatch Corruption with Application to Automated Knowledge Translation Xu Shi, University of Michigan; Xiaoou Li, University of Minnesota; Tianxi Cai, Harvard University
11:35 AM	Floor Discussion

17 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Technology Impact on Total Survey Error — Invited Papers
Survey Research Methods Section, Social Statistics Section, Government Statistics Section, Text Analysis Interest Group
Organizer(s): Stanislav Kolenikov, Abt Associates
Chair(s): Antje Kirchner, RTI International
10:05 AM	Detecting Housing Units from Satellite Imagery Using Computer Vision Presentation Stephanie Eckman, RTI International; Qiang Qiu, Purdue University; Tien-Yu Liu, Duke University
10:25 AM	Automatic Coding of Open-Ended Questions: Does Double Coding of the Training Data Reduce the Error of Automatic Coding? Zhoushanyue He, University of Waterloo; Matthias Schonlau, University of Waterloo
10:45 AM	Total Survey Error and Geographic Information Systems Ned English, NORC; Kevin Brown, NORC ; Chang Zhao, NORC
11:05 AM	Passive Data Collection Using Smartphones Bella Struminskaya, Utrecht University
11:25 AM	Discussant: Stanislav Kolenikov, Abt Associates
11:45 AM	Floor Discussion

23 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
What Are High-Quality Statistics Worth? — Invited Panel
Business and Economic Statistics Section, Government Statistics Section, Social Statistics Section
Organizer(s): John Eltinge, Census Bureau
Chair(s): David Wessel, Hutchins Center, Brookings Institution
10:05 AM	What Are High-Quality Statistics Worth?
Panelists:	John Eltinge, Census Bureau John Fernald, Federal Reserve Bank of San Francisco and INSEAD Erica Groshen, Cornell University and former Commissioner of the Bureau of Labor Statistics Maurine Haver, Haver Analytics Jack Kleinhenz, Kleinhenz & Associates, LTD and National Retailers Association
11:40 AM	Floor Discussion

35 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Imputing Race/Ethnicity to Understand Health Care Disparities Among Older Adults — Topic Contributed Papers
Social Statistics Section, Health Policy Statistics Section, Government Statistics Section
Organizer(s): Amelia M Haviland, Carnegie Mellon University
Chair(s): David Choi, Carnegie Mellon University
10:05 AM	The Contribution of First-Name Information to the Accuracy of Racial and Ethnic Imputations Varies by Gender, Race, and Ethnicity Amelia M Haviland, Carnegie Mellon University
10:25 AM	Socioeconomic Disparities in the Quality of Behavioral Health Care Joshua Breslau, RAND Corporation
10:45 AM	Implicit Bias and Black-White Disparities in Health Care Among Older Adults Madhumita Ghosh-Dastidar, RAND Corporation
11:05 AM	Voluntary Disenrollment from Health Plans Is Higher Among Racial and Ethnic Minorities Marc Elliott, RAND
11:25 AM	Discussant: John L Adams, Kaiser Permanente, Center for Effectiveness and Safety Research
11:45 AM	Floor Discussion

37 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
How to Save Lives and Increase Mobility on Highways? — Topic Contributed Panel
Government Statistics Section, Section on Physical and Engineering Sciences, Section on Statistics and Data Science Education
Organizer(s): Roya Amjadi, Federal Highway Administration
Chair(s): Roya Amjadi, Federal Highway Administration
10:05 AM	How to Save Lives and Increase Mobility on Highways?
Panelists:	Wei Zhang, Federal Highway Administration Rachel James, Federal Highway Administration Raul Avelar, Texas A&M Transportation Institute Kornel Kerenyi, Federal Highway Administration
11:40 AM	Floor Discussion

40	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Survey Weighting, Imputation, and Estimation — Contributed Papers
Government Statistics Section
	Variance Estimation for Combined Probability and Nonprobability Samples Michael Yang, NORC; Nada Ganesh, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago
	Challenges and Trade-Offs in Weighting a Probability Online Panel with Multiple Waves of Recruitment Dina Neiger, The Social Research Centre; Andrew C Ward, The Social Research Centre; Jack Barton, The Social Research Centre; Benjamin Phillips, The Social Research Centre
	Using Administrative Data to Improve Nonresponse Weighting Procedures in the Consumer Expenditure Survey Barry Steinberg, Bureau of Labor Statistics
	Multiple Imputation of Missing Income and Marital Status of the Research and Development Survey (RANDS) Guangyu Zhang, National Center for Health Statistics; Yulei He, National Center for Health Statistics ; Bill Cai, National Center for Health Statistics; Chris Moriarity, National Center for Health Statistics; Hee-Choon Shin, National Center for Health Statistics; Van Parsons, National Center for Health Statistics; Katherine Irimata, National Center for Health Statistics; Jennifer D Parker, NCHS
	A Bayesian Record Linkage Procedure That Adjusts for Variables in One File Mingyang Shan, Eli Lilly and Company; Roee Gutman, Brown University
	Augmented CPS Data on Industry and Occupation Peter Meyer, U.S. Bureau of Labor Statistics; Kendra Asher, U.S. Bureau of Labor Statistics

82	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Government Statistics Section — Contributed Poster Presentations
Government Statistics Section
1:	National Education Data for the Public Good from the National Center for Education Statistics Andrew White, National Center for Education Statistics/IES
2:	Updating Demand Elasticities by Means of Administrative Records Luis Frank, Universidad de Buenos Aires
3:	Mapping and Querying Employment Discrimination Data: A First Look into Adding Visualizations to EEO-1 Survey Jiashen You, Equal Employment Opportunity Commission; Justin West, U.S. EEOC
4:	Confidence sequences for sampling without replacement Ian Waudby-Smith, Carnegie Mellon University; Aaditya Ramdas, Carnegie Mellon University
5:	Sample Size Selection in Continuation-Ratio Logit Mixed Effects Models Andrew M. Raim, U.S. Census Bureau; Thomas Mathew, University of Maryland, Baltimore County; Kimberly Sellers, Georgetown University
6:	Boosting Sample Representation and Response Rate of an ABS Random Household Survey via Blending a Non-Random Approach: An Innovation to Reach the Hard-to-Reach Urban Landreman, Hennepin County
8:	Reporting Meaningful Results: One Statistical Agency’s Explorations Marilyn Seastrom, NCES/IES/Dept. of ED
10:	Dancing Distributions: Developing a Better Understanding of County-Level Crop Yield from Posterior Summaries Nathan B. Cruze, NASS, USDA; Lu Chen, USDA; Bal Nandram, Worcester Polytechnic Institute; Noemi Guindin, USDA National Agricultural Statistics Service
11:	Prevalence of Prescription Opioid and Illicit Drug Use Among US Adult Workers and by Occupational Groups: NHANES 2005-2016 JA GU, CDC/NIOSH - Morgantown, WV; Penelope Allison, CDC/NIOSH; Sara Luckhaupt, CDC/NIOSH; Alexis Grimes Trotter, CDC/NIOSH; Desta Fekedulegn, CDC/NIOSH; Claudia Ma, CDC/NIOSH; John Violanti, University of Buffalo; Michael E Andrew, CDC/NIOSH; Luenda Charles, CDC/NIOSH
12:	“Implications of Changes in Surveillance Systems and Their Populations at Risk” Clinton Alverson, CDC/DDNID/NCBDDD/DBDID; Michael Atkinson, CDC/DDNID/NCBDDD/DBDID; Tyiesha Short , CDC/DDNID/NCBDDD/DBDID; Janet D. Cragan , CDC/DDNID/NCBDDD/DBDID; Cara T. Mai, CDC/DDNID/NCBDDD/DBDID
13:	Generating Fully-Synthetic Discrete Data Sixia Chen, University of Oklahoma Health Sciences Center; Allshine Chen, University of Oklahoma, Health Sciences Center; Daniel Zhao , University of Oklahoma Health Sciences Center
14:	Predicting Future OS Behavior Using Bayesian Posterior Predictive Distributions Pourab Roy, US Food and Drug Administration
15:	The Pattern of Calibrated Estimates for Demographic and Health Variables in Probability-Based Web Surveys, a Case Study Bill Cai, National Center for Health Statistics; Katherine Irimata, National Center for Health Statistics; Hee-Choon Shin, National Center for Health Statistics
16:	A Novel Sampling Methodology for Risk Management Agency’s Improper Payment Rate Survey Franklin Duan, USDA NASS MD; Timothy Keller, University of Missouri-St. Louis; Peter Quan, NASS, USDA

122 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Nowcasting of Macroeconomic Variables: New Methods and Applications — Topic Contributed Papers
Business and Economic Statistics Section, Government Statistics Section, International Statistical Institute
Organizer(s): Baoline Chen, Bureau of Economic Analysis
Chair(s): Kyle Hood, Bureau of Economic Analysis
1:05 PM	Nowcasting Advance Estimate of Quarterly Personal Consumption of Services in the U.S. National Accounts Presentation Baoline Chen, Bureau of Economic Analysis; Kyle Hood, Bureau of Economic Analysis
1:25 PM	Nowcasting Canadian GDP with Density Combinations Tony Chernis, Bank of Canada; Taylor Webley, Bank of Canada
1:45 PM	Nowcasting Macroeconomic Aggregates in Argentina: Comparing Different Approaches Laura Inés D Amato, IIEP University of Buenos Aures; Emilio Blanco, Central Bank of Argentina; María Lorena Garegnani, Central Bank of Argentina; Fiorella D Dogliolo, Central Bank of Argentina
2:05 PM	Nowcasting Industrial Production Using Unconventional Data Sources Paolo Fornaro, Research Institute of the Finnish Economy
2:25 PM	Real-Time Density Nowcasts of U.S. Inflation: A Model-Combination Approach Saeed Zaman, Federal Reserve Bank of Cleveland and University of Strathclyde; Edward S. Knotek II, Federal Reserve Bank of Cleveland
2:45 PM	Floor Discussion

132 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Statistics and Data Science for Vulnerable Populations in the US — Topic Contributed Panel
Royal Statistical Society, Business and Economic Statistics Section, Statistics Without Borders, Government Statistics Section
Organizer(s): Susana E Marquez Renteria, The Rockefeller Foundation
Chair(s): Susana E Marquez Renteria, The Rockefeller Foundation
1:05 PM	Data Science to Assist Vulnerable Population in the United States
Panelists:	Katherine Townsend, data.org Caitlin Augustin, DataKind Aras Jizan, Community Solutions Matthew Lindsay, Mastercard Matthew Wakeman, Benefits Data Trust
2:40 PM	Floor Discussion

149 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Generating Data for the Public Good While Adhering to Confidentiality and Privacy Restrictions — Invited Papers
Health Policy Statistics Section, Government Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Roee Gutman, Brown University
Chair(s): Mingyang Shan, Eli Lilly and Company
10:05 AM	Challenges of Propagating Record Linkage Uncertainty into Subsequent Analyses Mauricio Sadinle, University of Washington
10:25 AM	A Bayesian Multi-Layered Record Linkage Procedure to Analyze Functional Status of Medicare Patients with Traumatic Brain Injury Mingyang Shan, Eli Lilly and Company; Kali Thomas, Brown University; Roee Gutman, Brown University
10:45 AM	A Simple Strategy for Detecting Biases from Linkage Failures When Merging Different Data Sources Presentation Joerg Drechsler, Institute for Employment Research; Johann Eppelsheimer, Institute for Employment Research; Joe Sakshaug, Institute for Employment Research
11:05 AM	Risk-Efficient Bayesian Data Synthesis for Privacy Protection Jingchen (Monika) Hu, Vassar College; Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation
11:25 AM	Discussant: Ofer Harel, University of Connecticut
11:45 AM	Floor Discussion

156 *	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Continuing to Explore New Frontiers: Research to Integrate Administrative Data into the American Community Survey — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Jennifer M Ortman, U.S. Census Bureau
Chair(s): Jennifer M Ortman, U.S. Census Bureau
10:05 AM	Analyzing Differences Between Survey Responses and Administrative Data for Property Value Presentation R. Chase Sawyer, U.S. Census Bureau
10:25 AM	Using Alternative Data Sources to Fill-In Missing Values for Demographic Characteristics on the American Community Survey Sandra Clark, US Census Bureau
10:45 AM	Predicting Vacant Housing Units in the American Community Survey Andrew Keller, U.S. Census Bureau
11:05 AM	Using Administrative Records to Improve Income Measurement in the American Community Survey John Voorheis, US Census Bureau
11:25 AM	Linking ACS and IRS Data to Assess Educational Attainment by Family Income Leah R. Clark, US Census Bureau
11:45 AM	Floor Discussion

158 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Statistical Demography — Topic Contributed Papers
Social Statistics Section, Government Statistics Section, Section on Bayesian Statistical Science
Organizer(s): Adrian Raftery, University of Washington
Chair(s): Adrian Raftery, University of Washington
10:05 AM	Scenario-Based Bayesian Probabilistic Projections of the Sex Ratio at Birth and Missing Female Births for All Countries and Country-Level Imbalances Presentation Fengqing Chao, King Abdullah University of Science and Technology; Patrick Gerland, Department of Economic and Social Affairs, United Nations; Alex Cook, National University of Singapore and National University Health System; Leontine Alkema, University of Massachussetts
10:25 AM	ACCOUNTING for SMOKING in FORECASTING MORTALITY and LIFE EXPECTANCY Yicheng Li, University of Washington; Adrian Raftery, University of Washington
10:45 AM	Detecting Disease Outbreak Using Travelers Data -- a Case Study of COVID-19 Epidemic Le Bao, Penn State University; Xiaoyue Maggie Niu, Penn State University; Ying Zhang, Penn State University
11:05 AM	Bayesian Demographic Accounts Junni Zhang, Peking University; John Bryant, Bayesian Demography Limited; Peter W. F. Smith, School of Economic, Social and Political Sciences, University of Southampton
11:25 AM	Floor Discussion

159 !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
What Happens When the U.S. Population Is Undercounted in the Decennial Census? — Topic Contributed Papers
Committee of Representatives to AAAS, Social Statistics Section, Government Statistics Section
Organizer(s): Dudley L Poston, Texas A&M University
Chair(s): William O'Hare, O'Hare Data and Demographic Services LLC
10:05 AM	What Happens to the Distribution of Seats in the U.S. House of Representatives with a Census Undercount? Presentation Dudley L Poston, Texas A&M University
10:25 AM	The End of the Census David Swanson, University of California, Riverside
10:45 AM	What Happens If the U.S. Rural Population Is Undercounted?: Challenges and Community-Level Responses John Green, University of Mississippi Center for Population Studies
11:05 AM	How Are Invisible Communities of Immigrants in the United States Counted? What Happens If They’re Undercounted? Nadia Flores-Yeffal, Texas Tech University
11:25 AM	“Census Undercount: Lessening a Community's Financial Loss” Peter Morrison, Peter A. Morrison & Associates, Inc.
11:45 AM	Floor Discussion

161 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Advances in Forecasting of Macroeconomic Variables: New Methods and Applications — Topic Contributed Papers
Business and Economic Statistics Section, Government Statistics Section, International Statistical Institute
Organizer(s): Kyle Hood, Bureau of Economic Analysis
Chair(s): Baoline Chen, Bureau of Economic Analysis
10:05 AM	Quantile Density Combination: An Application to US GDP Forecasts Knut-Are Aastveit, Norges Bank; Giulia Mantoan, Warwick Business School, University of Warwick; Saskia Are ter Ellen, Norges Bank
10:25 AM	Cross-Temporal Forecast Reconciliation: Optimal Combination Method and Heuristic Alternatives Presentation Tommaso Di Fonzo, University of Padova; Daniele Girolimetto, University of Padova
10:45 AM	Measuring disagreement in probabilistic and density forecasts Minchul Shin, Federal Reserve Bank of Philadelphia; Ryan Cumings, US Census Bureau; Keith Sill, Federal Reserve Bank of Philadelphia
11:05 AM	Forecasting Real GDP Growth with NIPA Aggregates: A Structural Time Series Approach Kyle Hood, Bureau of Economic Analysis; Baoline Chen, Bureau of Economic Analysis; Thomas Triumbur, US Census Bureau
11:25 AM	Weighted-Covariance Factor Decomposition of VARMA Models Applied to Forecasting Quarterly U.S. Real GDP at Monthly Intervals Peter Zadrozny, Bureau of Labor Statistics; Baoline Chen, Bureau of Economic Analysis
11:45 AM	Floor Discussion

170	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Data Science: How Federal Agencies Are Upskilling Staff for the Modern Data Environment — Topic Contributed Panel
Government Statistics Section, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science
Organizer(s): Rebecca Hutchinson, US Census Bureau
Chair(s): Stephanie Studds, US Census Bureau
10:05 AM	Data Science: How Federal Agencies Are Upskilling Staff for the Modern Data Environment
Panelists:	Rebecca Hutchinson, US Census Bureau Christian Moscardi, US Census Bureau Alex Measure, Bureau of Labor Statistics Bethany Blakey, General Services Administration
11:40 AM	Floor Discussion

197	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Health Data Analytics — Contributed Papers
Government Statistics Section, ASA LGBTQ+ Advocacy Committee
	Opioid Use and Endocarditis Among Adults in New York City Hospitalization, 2001–2016 Chaorui Huang, New York City Department of Health and Mental Hygiene; Steffen Foerster, New York City Department of Health and Mental Hygiene; Denise Paone, New York City Department of Health and Mental Hygiene; Ellenie Tuazon, New York City Department of Health and Mental Hygiene, New York City, NY, USA; Sungwoo Lim, New York City Department of Health and Mental Hygiene; Aldo Crossa, New York City Department of Health and Mental Hygiene; Demetre Daskalakis, New York City Department of Health and Mental Hygiene
	Assessment of Relative Abuse Potential of Combined Gabapentinoid and Opioid Use Ling Chen, CDER/FDA
	Assessing the Comparability of Survey-Linked Mortality Data to Population Estimates in the U.S Presentation Jessica M Keralis, National Center for Health Statistics; Cindy Zhang, National Center for Health Statistics; Cordell Golden, National Center for Health Statistics (NCHS/CDC); Lisa B Mirel, National Center Health Statistics (NCHS/CDC)
	Effect of Errors in Occupational Radiation Dose on Breast Cancer, Cataract and Chromosome Aberrations in a Cohort of US Radiologic Technologists Presentation Mark Peter Little, National Cancer Institute; Ankur Patel, National Cancer Institute; Steven L Simon, National Cancer Institute; Cari M Kitahara, National Cancer Institute; Nobuyuki Hamada, Central Research Institute of Electric Power Industry (CRIEPI); Paul S. Albert, National Cancer Institute
	Prevalence of Sexual Orientation and Gender Identity Behaviors: Model-Based State and National Estimation Derived from the Behavioral Risk Factor Surveillance System (BRFSS) Yangyang Deng, ICF; Ronaldo Iachan, ICF; Adam Lee, ICF; Marjorie Biel, ICF Macro, Inc.

198	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Census and Survey Data Analysis — Contributed Papers
Government Statistics Section, Text Analysis Interest Group
Chair(s): Ernest Davenport, University of Minnesota-College of Education & Human Development
	Cost Analysis of Experimental Data Collection Methods Used by National Household Education Survey (NHES) Presentation Kayla Varela, U.S. Census Bureau; Allison Zotti, U.S. Census Bureau
	Coverage Estimation in the 2021 Census of England and Wales Viktor Racinskij, Office for National Statistics
	A Network-Based Analysis of International Refugee Migration Patterns Using GERGMs Natallia Katenka, University of Rhode Island; Katherine Abramski, World Food Programme; Marc Hutchison , University of Rhode Island

208	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Survey Estimation — Contributed Papers
Government Statistics Section
Chair(s): Mary H. Mulry, U.S. Census Bureau
	Assessing the Quality of a Coding Process Generated by a Machine Learning Algorithm Presentation Richard Laroche, Statistics Canada; Pier-Olivier Tremblay, Statistics Canada
	Maximum Constrained Pseudo-Likelihood Estimation of Income Distributions, Combining Sources Presentation Victor Bustos, INEGI-MEXICO
	Using Machine Learning Algorithms and Impact Scores to Manage Cost, Burden, and Data Quality of the Agricultural Resource Management Survey Gavin Corral, USDA NASS; Tyler Wilson, USDA NASS; Andrew Dau, USDA NASS; Audra Zakzeski, USDA NASS
	Process-Driven Metrics and Process Evaluation of Bundled Interventions: The Agriculture to Nutrition (ATONU) Trial Presentation Evidence Matangi; George McCabe, Purdue University; Tshilidzi Madzivhandila, FANRPAN; Farai Gwelo, FANRPAN; Bertha Munthali, FANRPAN; Simbarashe Sibanda, FANRPAN; Wafaie Fawzi, Harvard; Nilupa Gunaratna, Purdue University
	Combining Quota and Probability Sub-Sampling Within Enumeration Areas to Produce Reliable Estimates Presentation Isabela Bertolini Coelho, NIC.Br; Marcelo Trindade Pitta, NIC.br; Pedro Luis do Nascimento Silva, ENCE / Science
	Imposing Sparseness in a Bayesian Hierarchical Regression Model with Temporal Smoothing via the Horseshoe Prior with an Application to Estimate Stillbirths for All Countries zhengfan Wang, umass-Amherst; Leontine Alkema, University of Massachussetts; Miranda Fix, University of Washington; Jon Wakefield, Departments of Biostatistics and Statistics, University of WAshington; Hannah Blencowe, LSHTM; Lucia Hug, UNICEF; Danzhen You, UNICEF; Anupam Mishra, UNICEF

239 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Synthetic Data and Differential Privacy: Data, Privacy and the Public Good — Invited Papers
Survey Research Methods Section, Korean International Statistical Society, Government Statistics Section
Organizer(s): Hang Kim, University of Cincinnati
Chair(s): Katherine Jenny Thompson, US Census Bureau
1:05 PM	Synthetic Microdata for Establishment Surveys Under Informative Sampling Presentation Hang Kim, University of Cincinnati; Joerg Drechsler, Institute for Employment Research; Katherine Jenny Thompson, US Census Bureau
1:25 PM	Bayesian Pseudo Posterior Mechanism Under Differential Privacy Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation; Jingchen (Monika) Hu, Vassar College
1:45 PM	Differentially Private Data Synthesis: Challenges and Opportunities Fang Liu, University of Notre Dame
2:05 PM	On the Formally Private Use of Public Historical Data to Control Upward Bias in Small Counts Philip Leclerc, US Census Bureau
2:25 PM	Discussant: Joerg Drechsler, Institute for Employment Research
2:45 PM	Floor Discussion

267 !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Using Multiple Sources of Data to Assess and Improve Data Quality — Topic Contributed Papers
Government Statistics Section, Health Policy Statistics Section, Survey Research Methods Section
Organizer(s): Jennifer D Parker, NCHS
Chair(s): Jennifer D Parker, NCHS
1:05 PM	Using Surveys and Administrative Data to Assess the Quality of Linked Data: National Center for Health Statistics’ Data Linkage Program Presentation Cordell Golden, National Center for Health Statistics (NCHS/CDC); Lisa B Mirel, National Center Health Statistics (NCHS/CDC)
1:25 PM	Assessing National Hospital Care Survey and National Ambulatory Medical Care Survey Data: A Comparison of Opioid and Respiratory Disease Encounters Geoffrey Jackson, National Center for Health Statistics; Carol DeFrances, National Center for Health Statistics; Jill Ashman, National Center for Health Statistics
1:45 PM	Using External Sources for Evaluating and Mitigating Nonresponse Bias and Sampling Variability Tala Fakhouri, National Center for Health Statistics; Crescent Martin, National Center for Health Statistics ; Te-Ching Chen, CDC/NCHS; Jay Clark, Westat; Minsun Riddles, Westat; Joseph Afful, Peraton; Leyla Mohadjer, Westat
2:05 PM	Propensity Score Adjusted Estimation of National Health Outcomes from Web Panels Katherine Irimata, National Center for Health Statistics
2:25 PM	Discussant: Kennon Copeland, NORC
2:45 PM	Floor Discussion

269 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Combining Information from Multiple Sources for Various Purposes — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Section on Statistics and the Environment
Organizer(s): Andreea Erciulescu, Westat
Chair(s): Weijia Ren, Westat
1:05 PM	Data Reconciliation and Estimation in an Agricultural Survey Habtamu Benecha, USDA/NASS; Linda J Young, NASS; Denise A Abreu, NASS; Rachael Jennings, USDA/NASS
1:25 PM	Sample-Based Calibration of Two Surveys Jean Opsomer, Westat; Andreea Erciulescu, Westat
1:45 PM	A Bridging Model to Reconcile Statistics Based on Data from Multiple Surveys Presentation Andreea Erciulescu, Westat; Jean Opsomer, Westat; Jay Breidt, Colorado State University
2:05 PM	Combining Multiple Data Sources for Erosion Estimation Emily Berg, Iowa State University
2:25 PM	Discussant: Carolina Franco, Census Bureau
2:45 PM	Floor Discussion

276 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Enhancing the Dissemination of Data for the Public Good — Topic Contributed Panel
Social Statistics Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Barbara A. Downs, United States Census Bureau
Chair(s): John Eltinge, Census Bureau
1:05 PM	Enhancing the Dissemination of Data for the Public Good
Panelists:	Barbara A. Downs, United States Census Bureau Catherine Fitch, University of Minnesota Trent Alexander, University of Michigan Zachary Whitman, US Census Bureau
2:40 PM	Floor Discussion

290 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
How the Council of Professional Associations on Federal Statistics Advances Excellence in Federal Statistics — Invited Papers
Government Statistics Section, Social Statistics Section, Survey Research Methods Section
Organizer(s): Cynthia Z. F. Clark, Council of Professional Associations on Federal Statistics
Chair(s): William W. Beach, Bureau of Labor Statistics
10:05 AM	The Role of Policy and Advocacy Katherine Smith Evans, American Economic Association
10:30 AM	Collaboration to Enable the Federal Committee on Statistical Methodology Conferences Presentation Rochelle (Shelly) Wilkie Martinez, Office of Management and Budget
10:55 AM	Engaging Federal Statistical Agencies with Stakeholders and Users: Roles of COPAFS Quarterly Meetings, Monthly Updates, Workshops, and Seminars Cynthia Z. F. Clark, Council of Professional Associations on Federal Statistics; Paul Schroeder, COPAFS
11:20 AM	Discussant: Steven B. Cohen, RTI International
11:45 AM	Floor Discussion

308 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Data Integration in 21st Century Government Surveys — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section, Social Statistics Section
Organizer(s): Timothy Trudell, US Census Bureau
Chair(s): Carolina Franco, Census Bureau
10:05 AM	Robust, High-Dimensional Data Linkage for Small Area Statistics Snigdhansu Chatterjee, University of Minnesota
10:25 AM	Hierarchical Bayesian Model with Inequality Constraints for County Estimates Lu Chen, National Institute of Statistical Sciences; Bal Nandram, Worcester Polytechnic Institute; Nathan B. Cruze, NASS, USDA
10:45 AM	Statistical Integration and Inference via Multilevel Regression and Poststratification Yajuan Si, University of Michigan
11:05 AM	On a Bayesian Empirical Likelihood Based Information Integration for Complex Survey Data Sanjay Chaudhuri, National University of Singapore
11:25 AM	Adjusting Record Linkage Match Weights to Partial Levels of String Agreement Dean Resnick, National Opinion Research Center (NORC); Lisa B Mirel, National Center Health Statistics (NCHS/CDC); Marc Roemer, Agency for Healthcare Research and Quality; Scott Cambell, N.O.R.C. at the University of Chicago
11:45 AM	Floor Discussion

310 !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Modern Approaches to Small Area Estimation with Spatial Modeling and Machine Learning — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Section on Bayesian Statistical Science
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Scott H. Holan, University of Missouri
10:05 AM	Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations Ryan Janicki, U.S. Census Bureau ; Andrew M. Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jerry Maples, U.S. Census Bureau
10:25 AM	A Bivariate Dirichlet-Multinomial Small Area Share Model with Application to Joint Estimation of School District Population and Poverty Jerry Maples, U.S. Census Bureau
10:45 AM	Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data Under Informative Sampling for Small Area Estimation Paul A. Parker, University of Missouri; Scott H. Holan, University of Missouri
11:05 AM	Interpolating Population Distributions using Public-use Data with Application to the American Community Survey Matthew Simpson, SAS Institute; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri; Jonathan Bradley, Florida State University
11:25 AM	Bayesian Analysis of Areal Data with Unknown Adjacencies Using the Stochastic Edge Mixed Effects Model Jonathan Bradley, Florida State University
11:45 AM	Floor Discussion

321	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Survey Estimation — Contributed Papers
Government Statistics Section
Chair(s): Yan Wang, University of California, Los Angles
	Confidence Interval Estimates of the Average Time Americans 15 Years and Older Spend Per Day by Engaging in Physical Activities Khairul Islam, Eastern Michigan University
	Flexible Bayesian Inference for Over-Dispersed or Under-Dispersed Spatial Count Data Hou-Cheng Yang
	Covid-19 and the Current Population Survey: Response Rates and Estimation Bias Presentation Justin McIllece, Bureau of Labor Statistics
	Using All Available Data for Official Estimates: An Illinois Pilot Study Linda J Young, NASS
	The New Sample Design for the Annual Survey of Local Government Finances Noah Bassel; Bac Tran, US Census Bureau

415 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Massive Administrative Data to Advance the Public Good — Topic Contributed Panel
Social Statistics Section, Government Statistics Section, Survey Research Methods Section
Organizer(s): Asaph Young Chun, Statistics Research Institute - Statistics Korea
Chair(s): Justin Fisher, Government Accountability Office
1:05 PM	Massive Administrative Data to Advance the Public Good: Nudging Data-Based Exit Policy - Nearcasting Lessons from the Crucible of Pandemic Crisis
Panelists:	Asaph Young Chun, Statistics Research Institute - Statistics Korea Bruce Meyer, University of Chicago, Harris School of Public Policy
2:45 PM	Floor Discussion

423 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Transparent, Efficient and Accessible Reporting on the Quality of Multiple Input Data Sources — Invited Papers
Government Statistics Section, Social Statistics Section
Organizer(s): Michael Lee Cohen, Committee on National Statistics
Chair(s): Daniel Kasprzyk, NORC
10:05 AM	The Role of the Federal Statistical Research Data Centers in Promoting Transparency and Reproducibility in Federal Statistics Margaret C. Levenstein, ICPSR: the Data Consortium, and the University of Michigan
10:30 AM	Computational Reproducibility, Transparency, and Credibility of Official Statistics Presentation Lars Vilhuber, Cornell University
10:55 AM	Achieving Privacy and the Production of Quality Statistics When Using Alternative Data Sources Eric Rancourt, Statistics Canada
11:20 AM	Discussant: John Eltinge, Census Bureau
11:35 AM	Floor Discussion

426 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
SESSION CANCELLED — Invited Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section

434 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Robust and Efficient Inferences in Observational Studies and from Nonrandom Samples — Invited Papers
Government Statistics Section, Survey Research Methods Section, Section on Statistics in Epidemiology
Organizer(s): Vladislav Beresovsky, National Center for Health Statistics
Chair(s): Katherine Irimata, National Center for Health Statistics
10:05 AM	Semiparametric Inference for Non-Monotone Missing-Not-At-Random Data: The No Self-Censoring Model Daniel Malinsky, Johns Hopkins University; Ilya Shpitser, Johns Hopkins University; Eric Tchetgen Tchetgen, University of Pennsylvania
10:30 AM	Robust Inference for Non-Probability Samples When a Benchmark Survey with a Complex Design Is Present: A Synthetic Population Approach with Non-Parametric Bayesian Modeling Ali Rafei, University of Michigan; Michael R Elliott, University of Michigan; Carol Flannagan, Transportation Research Institute, University of Michigan
10:55 AM	Variable Selection in Causal Inference with a Binary Outcome Brandon Koch, University of Nevada, Reno; Laura Johnson, University of Nevada, Reno; Hank Green, Indiana University ; Erin Pullen, Indiana University; Karla Wagner, University of Nevada, Reno
11:20 AM	Having a Cake and Eating it Too – Robust and Efficient Estimation by Benchmarking Web Samples to Probability Survey Samples Presentation Vladislav Beresovsky, National Center for Health Statistics
11:45 AM	Floor Discussion

449 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Data Challenges: Innovating Diverse Solutions — Topic Contributed Papers
Social Statistics Section, Government Statistics Section
Organizer(s): Claire Bowen, Urban Institute
Chair(s): Evercita Eugenio, Sandia National Laboratories
10:05 AM	Lessons Learned from the 500 Cities Data Challenge Claire Bowen, Urban Institute
10:25 AM	Insights from Chaos: Take-Aways from Coordinating a DataFest 2020 Event Alicia Lamere, Bryant University
10:45 AM	Generating Differentially-Private Synthetic Data with High Utility Ryan McKenna, University of Massachusetts, Amherst
11:05 AM	What We’ve Learned from 7 Years of Real-Time Flu Forecasting in the United States Dave Osthus, Los Alamos National Laboratory
11:25 AM	Discussant: Joshua Snoke, RAND Corporation
11:45 AM	Floor Discussion

452 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Data Matching Practice and Application in the United States Immigration System — Topic Contributed Papers
Government Statistics Section, Conference on Statistical Practice Steering Committee, Social Statistics Section
Organizer(s): Scott Glabe, Department of Homeland Security; Marc Rosenblum, Office of Immigration Statistics; Hongwei Zhang, Office of Immigration Statistics, DHS
Chair(s): Scott Glabe, Department of Homeland Security
10:05 AM	Person Centric Official Entry/Exit Visa Tracking Visa Tracking I94 System: ADIS Michael Gorman, U.S. Customs and Border Protection
10:25 AM	Data Matching for Non-Obvious Relationships Within Immigration Damian Kostiuk, Department of Homeland Security
10:45 AM	Using Linked Criminal Immigration Data from the Federal Justice Statistics Program Mark Motivans, Bureau of Justice Statistics
11:05 AM	Data Matching in Immigration Enforcement Lifecycle Tool Hongwei Zhang, Office of Immigration Statistics, DHS
11:25 AM	Discussant: Marc Rosenblum, Office of Immigration Statistics
11:45 AM	Floor Discussion

453	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Recursive Partitioning for Modeling Survey Data and Randomized Trials — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Morgan Earp, National Center for Health Statistics
Chair(s): Brady T West, University of Michigan
10:05 AM	Assessing the Relationship Between Proxy Burden Measures and Survey Response in a Longitudinal Household Survey Using Regression Trees Morgan Earp, National Center for Health Statistics; Brandon Kopp, Bureau of Labor Statistics; John Dixon, Bureau of Labor Statistics
10:25 AM	A Comparison of Classification and Regression Tree Methodologies When Modeling Survey Nonresponse William Cecere, Westat; Amy Lin, Westat; Jennifer Kali, Westat; Michael Jones, Westat
10:45 AM	Identifying Cluster-Level Predictors While Controlling for Unit-Level Characteristics in Clustered Data Presentation Elizabeth Petraglia, Westat
11:05 AM	Fitting Classification Trees Accounting for Complex Survey Design Minsun Riddles, Westat; Jean Opsomer, Westat; Elizabeth Petraglia, Westat
11:25 AM	Exploring R {Rpms} to Predict Perceived Respondents Burden in the Consumer Expenditure Interview Survey Daniel Yang, Bureau of Labor Statistics
11:45 AM	Floor Discussion

465	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Privacy, Confidentiality, and Disclosure Limitation — Contributed Papers
Government Statistics Section
Chair(s): Phillip S Kott, RTI International
	A Monte Carlo Simulation Study for Reject Inference Billie Anderson, Harrisburg University; Mark Newman, Harrisburg University; Phil Grim, Harrisburg University; J. Michael Hardin, Samford University
	Knockoff Privacy: Connections Between Data Privacy and False Discovery Rate Control Michelle Nixon, Pennsylvania State Univ; Aleksandra Slavkovic, Pennsylvania State University
	Generating Poisson-Distributed Differentially Private Synthetic Data Harrison Quick, Drexel University
	Confidentiality Issues in Integrated Data Access: International Comparative Perspective Dominik Rozkrut, University of Szczecin; Monika Rozkrut, Univeristy of Szczecin; Wlodzimierz Okrasa, Statistics Poland, Cardinal Stefan Wyszynski University in Warsaw
	A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications Aaron Williams; Claire Bowen, Urban Institute; Len Burman, Urban Institute; Surachai Khitatrakun, Urban Institute; Kyle Ueyama, Urban Institute
	Differential Privacy for Model Sharing Between Government Agencies Ellen Galantucci, BLS; Alex Measure, Bureau of Labor Statistics; David Oh, BLS

491	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Methodology and Utilization of Administrative Data — Contributed Papers
Government Statistics Section
Chair(s): Yichuan Zhao, Georgia State University
	Imputing Housing Survey Data with Property Tax Records Emily Molfino, US Census Bureau; Shawn Bucholtz, Housing and Urban Development
	Using Bayesian Improved Surname Geocoding (BISG) to Classify Race and Ethnicity in Administrative Employment Data by Industry: A Validation Study Ada Harris, US EEOC
	Evaluating the Service Monthly and Annual Sample Maintenance (SMASM) Quarterly Birth Recanvassing Operations Michael Owen, U.S. Census Bureau
	A New BLS Satellite Series: Inputs to Industry Price Indexes; Methodology and Uses Jonathan Weinhagen, BLS
	Poverty in the United States Using the Comprehensive Income Dataset Derek Wu, University of Chicago, Harris School of Public Policy; Bruce Meyer, University of Chicago, Harris School of Public Policy; Carla Medalia, U.S. Census Bureau
	A Preliminary Evaluation of New Response Metric Calculations for the 2017 Economic Census Justin Ward; Diane Willimack, U.S. Census Bureau

508	Thu, 8/6/2020, 12:00 PM - 1:00 PM	Virtual
SPAIG Committee Lunchtime Speaker — Roundtables Speaker with Lunch
Stats. Partnerships Among Academe Indust. & Govt. Committee, Government Statistics Section, Survey Research Methods Section
Chair(s): John Kolassa, Rutgers University
12:05 PM	Trying to Be a Good Data Steward in the 21st Century John M Abowd, U.S. Census Bureau

510	Thu, 8/6/2020, 12:00 PM - 1:00 PM	Virtual
CANCELLED: Government Statistics Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Government Statistics Section
RL03:	WITHDRAWN: Mentoring David Morganstein, Westat; William Cecere, Westat; Jeri Mulrow, Westat

527	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
New Approaches to Model-Assisted Survey Estimation with Informative Weights — Invited Papers
Survey Research Methods Section, Government Statistics Section
Organizer(s): Eric V Slud, US Census Bureau
Chair(s): Barry Graubard, National Cancer Institute
1:05 PM	A Pairwise Likelihood Method for Survey Data with Sampling Weights Incorporated Under Two-Level Models Grace Yi, Unievrsity of Western Ontario; John N. K. Rao, Carlton University; Haocheng Li, Roche Canada
1:30 PM	Bayesian Mixed Models Under Informative Sampling Presentation Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation
1:55 PM	Nonidentifiability of Mixed-Model Parameters under Informative Sampling using only Single-Inclusion Weights Presentation Eric V Slud, US Census Bureau
2:20 PM	Discussant: Roderick J Little, University of Michigan
2:40 PM	Floor Discussion

531 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Urban Analytics: Modeling and Analysis of High Resolution Urban Data — Invited Papers
Social Statistics Section, Business and Economic Statistics Section, Government Statistics Section
Organizer(s): Shane Jensen, The Wharton School, University of Pennsylvania
Chair(s): Shane Jensen, The Wharton School, University of Pennsylvania
1:05 PM	Re-Examining the Law of Crime Concentration: Between-And Within-City Evidence Maria Cuellar, University of Pennsylvania; Aaron Chalfin, University of Pennsylvania; Jacob Kaplan, University of Pennsylvania
1:25 PM	Multivariate Temporal Modeling of Crime with Dynamic Linear Models Presentation Jarad Niemi, Iowa State University; Nate Garton, Iowa State University
1:45 PM	Spatial Clustering of Crime Trends in Urban Environments at Multiple Resolutions Cecilia Balocchi, University of Pennsylvania; Shane Jensen, The Wharton School, University of Pennsylvania; Edward George, University of Pennsylvania
2:05 PM	Inflection Points in Community-Level Homeless Rates Dennis Culhane, University of Pennsylvania; Thomas Byrne, Boston University; Chris Glynn, University of New Hampshire
2:25 PM	Discussant: Rachel Thurston, Stantec, Inc
2:45 PM	Floor Discussion

533	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Assuring the Security of Machine Learning and Statistical Methods — Invited Papers
Section on Statistics in Defense and National Security, Committee on Privacy and Confidentiality, Government Statistics Section
Organizer(s): Michelle Dunn, NSA
Chair(s): Michelle Dunn, NSA
1:05 PM	ON THE HUMAN-RECOGNIZABILITY PHENOMENON OF ADVERSARIALLY TRAINED DEEP IMAGE CLASSIFIERS Nathan VanHoudnos, Software Engineering Institute, CMU; Jon Helland, Software Engineering Institute, CMU
1:35 PM	Membership Inference Anthony Gamst, Center for Communications Research
2:05 PM	Deceiving Machines: Sabotaging Machine Learning Presentation David Trott, Department of Defense
2:35 PM	Floor Discussion

547 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Who Is Not Counted? Undercounts and Underrepresentation — Topic Contributed Papers
History of Statistics Interest Group, Committee on Minorities in Statistics, Government Statistics Section
Organizer(s): Lee Kennedy-Shaffer, Harvard University
Chair(s): Lee Kennedy-Shaffer, Harvard University
1:05 PM	Counting Young Children in the U.S. Census. William O'Hare, O'Hare Data and Demographic Services LLC
1:25 PM	UNDERREPRESENTATION of POPULATION GROUPS in MEDICAL STUDIES Susan Ellenberg, University of Pennsylvania, School of Medicine
1:45 PM	Multiclass Lung Cancer Stage Identification: Enabling Population-Level Oncology Research Savannah Bergquist, Haas School of Business, University of California, Berkeley; Gabriel Brooks, Dartmouth-Hitchcock; Mary Beth Landrum, Harvard Medical School; Nancy Keating, Harvard Medical School; Sherri Rose, Harvard Medical School
9:55 AM	Discussant: Margo J. Anderson, University of Wisconsin, Milwaukee
2:05 PM	Floor Discussion

548 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Using Artificial Intelligence and Advanced Statistical Methods to Improve Official Statistics — Topic Contributed Papers
Government Statistics Section, Section on Statistical Learning and Data Science, Survey Research Methods Section
Organizer(s): Barry W Johnson, Statistics of Income, Internal Revenue Service
Chair(s): Barry W Johnson, Statistics of Income, Internal Revenue Service
1:05 PM	Recommender Algorithms for Form Anomaly Detection William Roberts, Deloitte; Anne Parker, Internal Revenue Service; Danielle Gewurz, Deloitte
1:25 PM	Statistically Robust Estimation of Unprotected Identity Theft in Individual Tax Returns: A Non-Parametric Simulation Based Approach Sabyasachi Guharay, US Internal Revenue Service
1:45 PM	NAICS Code Prediction Using Supervised Methods Presentation Anne Parker, Internal Revenue Service; Evan Schulz, Internal Revenue Service; Christine Oehlert, Internal Revenue Service
2:05 PM	An Active Learning Approach for Collecting Tax Revenue Kristen Altenburger, Stanford University; Brandon Anderson, Stanford University; Ben Chugg, Stanford University; Jacob Goldin, Stanford University; Daniel En-Wenn Ho, Stanford Law School; Ahmad Qadri, Internal Revenue Service; Evelyn Smith, University of Michigan
2:25 PM	Discussant: Karl Branting, MITRE Corporation
2:45 PM	Floor Discussion

568 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Perspectives on Grant Review: Leave it, Fix it, or Nix It? — Invited Papers
Social Statistics Section, Section on Bayesian Statistical Science, Government Statistics Section
Organizer(s): Elena A Erosheva, University of Washington ; Carole Lee, University of Washington
Chair(s): Elena A Erosheva, University of Washington
3:05 PM	How Do Bibliometric Measures Affect NIH Funding? Donna Ginther, University of Kansas
3:30 PM	The Participation and Motivations of Grant Peer Reviewers Presentation Stephen Gallo, AIBS
3:55 PM	Burning Money? the Inherent Inefficiency of Grant Proposal Competitions in Allocating Research Funding, and Possible Alternatives Kevin Gross, North Carolina State University
4:20 PM	Peer Review Evaluation at the NIH Center for Scientific Review Noni Byrnes, NIH; Bruce Reed, NIH
4:45 PM	Floor Discussion

574 !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Survey and Administrative Data Linkage in a European Survey of Wealth — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Arthur B Kennickell, Stone Center, CUNY Graduate Center
Chair(s): Anne Parker, Internal Revenue Service
3:05 PM	Household Indebtedness in the Survey of Household Finances and the Central Credit Register: A Comparative Analysis for Spain Sandra García-Uribe, Banco De Espana; Olympia Bover, Banco de España; Laura Crespo, Banco de España
3:25 PM	Debt Affordability After Retirement, an Investigation of Survey Data and Administrative Databases Mauro Mastrogiacomo, Dutch National Bank
3:45 PM	Modifying the Sampling Design of the Panel on Household Finances in Wave 4: Aims and Challenges Presentation Panagiota Tzamourani, Deutsche Bundesbank; Rene Bernard, Deutsche Bundesbank; Tobias Schmidt, Deutsche Bundesbank
4:05 PM	Optimal Sampling Design with Administrative Sources for Household Finance Surveys Andrea Neri, Banca d'Italia
4:25 PM	Who's Asking? Interviewer Effects on Unit Nonresponse in the Household Finance and Consumption Survey Presentation Nicolas Albacete, Oesterreichische Nationalbank; Pirmin Fessler, Oesterreichische Nationalbank; Peter Lindner, Oesterreichische Nationalbank
4:45 PM	Floor Discussion

588	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
GSS/SRMS/SSS Student Paper Award Winners — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section, Social Statistics Section
Organizer(s): William Cecere, Westat
Chair(s): Jean Opsomer, Westat
3:05 PM	Multifile Record Linkage and Duplicate Detection via a Structured Prior for Partitions Serge Aleshin-Guendel, University of Washington; Mauricio Sadinle, University of Washington
3:25 PM	Privacy for Spatial Point Process Data Adam Walder, Pennsylvania State Unversity
3:45 PM	Transformed Fay-Herriot Model with Measurement Error in Covariates Sepideh Mosaferi, Iowa State University; Rebecca C. Steorts, Duke University
4:05 PM	Robust Bayesian Non-Parametric Inference for Non-Probability Samples: An Attempt to Combine Sensor-Based Records with Traditional Survey Data Presentation Ali Rafei, University of Michigan; Michael R Elliott, University of Michigan; Carol Flannagan, Transportation Research Institute, University of Michigan
4:25 PM	An Overlooked Bias-Variance Tradeoff for Average Treatment Effects in Multisite Randomized Trials Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
4:45 PM	Floor Discussion

220188	Tue, 8/11/2020, 12:00 PM - 1:00 PM	Virtual
Government Statistics Section Open Business Meeting — Other Cmte/Business
Government Statistics Section
Chair(s): Katherine Jenny Thompson, US Census Bureau
This will be a one-hour Zoom meeting. Meeting details are provided below. Meeting ID: 585 568 0090 One tap mobile +13017158592,,5855680090# US (Germantown) +13126266799,,5855680090# US (Chicago) Dial by your location +1 301 715 8592 US (Germantown) +1 312 626 6799 US (Chicago) +1 646 558 8656 US (New York) +1 669 900 9128 US (San Jose) +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) Find your local number: https://us02web.zoom.us/u/keuEvjtt00

JSM 2020 Online Program

Activity Details

American Statistical Association