All Times ET
Program is Subject to Change
Wednesday, June 16
Wed, Jun 16, 8:00 AM - 9:00 AM
Morning Coffee Lounge
Networking Event
Wed, Jun 16, 9:00 AM - 10:10 AM
GS02 - Waksberg Address
General Session
Organizer(s): Wesley Yung, Statistics Canada
Chair(s): Jean-Francois Beaumont, Statistics Canada
Wed, Jun 16, 10:30 AM - 12:00 PM
CS21 - Response Burden Management: Toward Burden Reduction Noticeable by Businesses
Invited
Organizer(s): Deirdre Giesen, Statistics Netherlands
Chair(s): Anita Vaasen-Otten, Statistics Netherlands
10:35 AM
Beyond Managing Response Burden
Johan Erikson, Statistics Sweden
11:00 AM
Managing Response Burden in Business Surveys and Minimizing Its Negative Perception by Respondents
Paulo Saraiva dos Santos, Statistics Portugal
11:25 AM
Response Burden Reduction More Noticeable for Businesses in the Netherlands
Deirdre Giesen, Statistics Netherlands
11:50 AM
Discussant
Mojca Bavdaz, University of Ljubljana
Discussant(s): Mojca Bavdaz, University of Ljubljana
Wed, Jun 16, 10:30 AM - 12:00 PM
CS22 - Producing Synthetic Microdata with 'High' Utility and 'Low' Disclosure Risk
Invited
Organizer(s): Katherine Jenny Thompson, U.S. Census Bureau
Chair(s): Katherine Jenny Thompson, U.S. Census Bureau
10:35 AM
Synthetic Microdata for Establishment Surveys Under Informative Sampling
Jörg Drechsler, Institute for Employment Research, Germany
11:00 AM
Risk-Efficient Bayesian Data Synthesis for Privacy Protection
Jingchen (Monika) Hu, Vassar College
11:25 AM
Validating Outcomes from Synthetic Data: Results from a Multi-Year Implementation
Lars Vilhuber, Cornell University
Discussant(s): Tom Krenzke, Westat
Wed, Jun 16, 10:30 AM - 12:00 PM
CS23 - Dealing with Missing and Erroneous Data in Establishment Statistics
Topic Contributed
Organizer(s): Benjamin Reist, NASA
Chair(s): Nicole Czaplicki, U.S. Census Bureau
10:35 AM
Using Multiple Imputation to Mitigate a Sample Reduction
Tara Murphy, National Agricultural Statistics Service
10:55 AM
Clean, Rinse, Repeat: Student Perceptions of Dirty Data
Elizabeth Keiffer, University of Arkansas
11:15 AM
Imputation Strategies for Establishment Surveys Using Random Forest Models
Tyler Wilson, USDA, NASS
11:35 AM
The Impact of Persistent Measurement Error on Survey Estimates
Chin-Fang Weng, U.S. Census Bureau
Wed, Jun 16, 10:30 AM - 12:00 PM
CS24 - Leveraging Machine Learning to Improve Economic Surveys and Programs
Topic Contributed
Organizer(s): Anne Sigda Russell, U.S. Census Bureau
Chair(s): Michael D. Larsen, Saint Michael’s College
10:35 AM
Integrating Machine Learning in the ACES Survey Instrument
Valerie Mastalski, US Census Bureau
10:55 AM
Industry Classification Using Machine Learning: An Application to the Economic Census
Anne Sigda Russell, U.S. Census Bureau
11:15 AM
Automating the Extraction of Health Care Provision Data from Standardized Insurance Plan PDF Documents
Brandon Kopp, Bureau of Labor Statistics
11:35 AM
A Smart Instrument NAPCS Classification Tool for the Economic Census (SIN-CT)
A.J. Goldsman, US Census Bureau
Wed, Jun 16, 12:00 PM - 1:30 PM
IOL Discussion: Secondary Data Sources, Data Integration & Matching
Invited
Chair(s): Paul Anthony Smith, University of Southampton
Discussant(s): Stefan Bender, Deutsche Bundesbank; Alan Herning, Australian Bureau of Statistics; Michael D. Larsen, Saint Michael’s College; Danni Lewis, Office for National Statistics; Sofia Olhede, University College London; Arnout Van Delden, Statistics Netherlands (CBS)
Wed, Jun 16, 12:00 PM - 1:30 PM
Software Demonstrations
Software Demo
Survey Data Imputation and Analysis Using SAS/STAT®
Pushpal Mukhopadhyay, SAS
Survey data analysis using Stata
Isabel Canette, StataCorp LLC; Kristin MacDonald, StataCorp LLC; Yulia Marchenko, StataCorp LLC
R package: rpms, Recusive Partitioning for Modeling Survey Data
Daniell Toth, US Bureau of Labor Statistics
Wed, Jun 16, 12:00 PM - 1:30 PM
Networking Lounge
Networking Event
Wed, Jun 16, 1:30 PM - 3:30 PM
CS25 - The Future of Establishment Surveys Is Easy as ABC: AI, Big Data, Cutting-Edge Survey Design
Invited
Organizer(s): Gary Christopher Brown, Office for National Statistics, UK
Chair(s): Danni Lewis, Office for National Statistics
1:35 PM
AI Models in Survey Estimation
Kelly McConville, Reed College
2:00 PM
Methods for Estimating the Quality of Multisource Statistics
Arnout Van Delden, Statistics Netherlands (CBS)
2:25 PM
Smarter Designs, Not Just Alternative
Gary Christopher Brown, Office for National Statistics, UK
Discussant(s): Wesley Yung, Statistics Canada
Wed, Jun 16, 1:30 PM - 3:30 PM
CS26 - Advanced Imputation Techniques for Handling Missing Data
Topic Contributed
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): Sixia Chen, University of Oklahoma Health Sciences Center
1:35 PM
On the Missing Data Analysis with High-Dimensional Data
Chao Xu, University of Oklahoma Health Science Center
1:55 PM
Why, When, and How to Weight When Imputing
Phillip S Kott, RTI International
2:15 PM
Estimation for nonignorable missing responses or covariates using semi-parametric quantile regression imputation and a parametric response probability model
Emily Berg, Iowa State University
2:35 PM
Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems
Yichuan Zhao, Georgia State University
Discussant(s): Don Jang, NORC
Wed, Jun 16, 1:30 PM - 3:30 PM
CS27 - Statistical Confidentiality and Establishment Surveys: Challenges and Solutions to Improving Data Utility
Topic Contributed
Organizer(s): Tom Krenzke, Westat
Chair(s): Daniell Toth, US Bureau of Labor Statistics
1:35 PM
Construction of a Feasible, Complete Table from a Published Table with Suppressions
Bei Wang, Census Bureau
1:55 PM
Modernizing EIA’s Cell Suppression Software Used in Disclosure Limitation
David Kinyon, U.S. Energy Information Administration
2:15 PM
A Proposed 'Bottom-Up' Differential Privacy Approach for Disclosure Prevention in Data Query Tool
Jianzhu Li, Westat
2:35 PM
Data Protection Toolkit’s Playbook as Demonstrated Through the PIAAC Prison Study
Tom Krenzke, Westat
2:55 PM
Improving Access to Statistics Canada Business Data
Steven Keir Thomas, Statistics Canada
Wed, Jun 16, 1:30 PM - 3:30 PM
CS28 - Minimizing Revisions for a Monthly Indicator
Topic Contributed
Organizer(s): Laura Terese Bechtel, US Census Bureau
Chair(s): Scott Holan, US Census Bureau/ University of Missouri
1:35 PM
Evaluating the Link-Relative Estimator Used by a Monthly Economic Indicator Survey
Laura Terese Bechtel, US Census Bureau
1:55 PM
Identifying High-Priority Units for Analyst Imputation in a Monthly Economic Indicator Survey
Nicole Czaplicki, U.S. Census Bureau
2:15 PM
Imputation Models for a Monthly Economic Indicator Survey with Seasonal Data and Low Unit Response
Stephen James Kaputa, US Census Bureau
2:35 PM
Nowcasting Versus Advanced Surveys for Estimating Austrian Principal Economic Indicators
Markus Froehlich, Statistics Austria
Discussant(s): Scott A. Scheleur, U.S. Census Bureau
Wed, Jun 16, 3:45 PM - 4:45 PM
Birds of a Feather Discussions
Networking Event
Discussion Room Topics to Include:
Data Integration Issues and Estimating Quality of Estimates Based on Combined Data
Data Privacy and Confidentiality
Pre-testing Data Collection Instruments with Businesses
Wed, Jun 16, 8:00 AM - 9:00 AM
Morning Coffee Lounge
Networking Event
Networking Event
Wed, Jun 16, 9:00 AM - 10:10 AM
GS02 - Waksberg Address
General Session
General Session
Organizer(s): Wesley Yung, Statistics Canada
Chair(s): Jean-Francois Beaumont, Statistics Canada
Wed, Jun 16, 10:30 AM - 12:00 PM
CS21 - Response Burden Management: Toward Burden Reduction Noticeable by Businesses
Invited
Invited
Organizer(s): Deirdre Giesen, Statistics Netherlands
Chair(s): Anita Vaasen-Otten, Statistics Netherlands
10:35 AM
Beyond Managing Response Burden
Johan Erikson, Statistics Sweden
Johan Erikson, Statistics Sweden
11:00 AM
Managing Response Burden in Business Surveys and Minimizing Its Negative Perception by Respondents
Paulo Saraiva dos Santos, Statistics Portugal
Paulo Saraiva dos Santos, Statistics Portugal
11:25 AM
Response Burden Reduction More Noticeable for Businesses in the Netherlands
Deirdre Giesen, Statistics Netherlands
Deirdre Giesen, Statistics Netherlands
11:50 AM
Discussant
Mojca Bavdaz, University of Ljubljana
Mojca Bavdaz, University of Ljubljana
Discussant(s): Mojca Bavdaz, University of Ljubljana
Wed, Jun 16, 10:30 AM - 12:00 PM
CS22 - Producing Synthetic Microdata with 'High' Utility and 'Low' Disclosure Risk
Invited
Invited
Organizer(s): Katherine Jenny Thompson, U.S. Census Bureau
Chair(s): Katherine Jenny Thompson, U.S. Census Bureau
10:35 AM
Synthetic Microdata for Establishment Surveys Under Informative Sampling
Jörg Drechsler, Institute for Employment Research, Germany
Jörg Drechsler, Institute for Employment Research, Germany
11:00 AM
Risk-Efficient Bayesian Data Synthesis for Privacy Protection
Jingchen (Monika) Hu, Vassar College
Jingchen (Monika) Hu, Vassar College
11:25 AM
Validating Outcomes from Synthetic Data: Results from a Multi-Year Implementation
Lars Vilhuber, Cornell University
Lars Vilhuber, Cornell University
Discussant(s): Tom Krenzke, Westat
Wed, Jun 16, 10:30 AM - 12:00 PM
CS23 - Dealing with Missing and Erroneous Data in Establishment Statistics
Topic Contributed
Topic Contributed
Organizer(s): Benjamin Reist, NASA
Chair(s): Nicole Czaplicki, U.S. Census Bureau
10:35 AM
Using Multiple Imputation to Mitigate a Sample Reduction
Tara Murphy, National Agricultural Statistics Service
Tara Murphy, National Agricultural Statistics Service
10:55 AM
Clean, Rinse, Repeat: Student Perceptions of Dirty Data
Elizabeth Keiffer, University of Arkansas
Elizabeth Keiffer, University of Arkansas
11:15 AM
Imputation Strategies for Establishment Surveys Using Random Forest Models
Tyler Wilson, USDA, NASS
Tyler Wilson, USDA, NASS
11:35 AM
The Impact of Persistent Measurement Error on Survey Estimates
Chin-Fang Weng, U.S. Census Bureau
Chin-Fang Weng, U.S. Census Bureau
Wed, Jun 16, 10:30 AM - 12:00 PM
CS24 - Leveraging Machine Learning to Improve Economic Surveys and Programs
Topic Contributed
Topic Contributed
Organizer(s): Anne Sigda Russell, U.S. Census Bureau
Chair(s): Michael D. Larsen, Saint Michael’s College
10:35 AM
Integrating Machine Learning in the ACES Survey Instrument
Valerie Mastalski, US Census Bureau
Valerie Mastalski, US Census Bureau
10:55 AM
Industry Classification Using Machine Learning: An Application to the Economic Census
Anne Sigda Russell, U.S. Census Bureau
Anne Sigda Russell, U.S. Census Bureau
11:15 AM
Automating the Extraction of Health Care Provision Data from Standardized Insurance Plan PDF Documents
Brandon Kopp, Bureau of Labor Statistics
Brandon Kopp, Bureau of Labor Statistics
11:35 AM
A Smart Instrument NAPCS Classification Tool for the Economic Census (SIN-CT)
A.J. Goldsman, US Census Bureau
A.J. Goldsman, US Census Bureau
Wed, Jun 16, 12:00 PM - 1:30 PM
IOL Discussion: Secondary Data Sources, Data Integration & Matching
Invited
Invited
Chair(s): Paul Anthony Smith, University of Southampton
Discussant(s): Stefan Bender, Deutsche Bundesbank; Alan Herning, Australian Bureau of Statistics; Michael D. Larsen, Saint Michael’s College; Danni Lewis, Office for National Statistics; Sofia Olhede, University College London; Arnout Van Delden, Statistics Netherlands (CBS)
Wed, Jun 16, 12:00 PM - 1:30 PM
Software Demonstrations
Software Demo
Software Demo
Survey Data Imputation and Analysis Using SAS/STAT®
Pushpal Mukhopadhyay, SAS
Pushpal Mukhopadhyay, SAS
Survey data analysis using Stata
Isabel Canette, StataCorp LLC; Kristin MacDonald, StataCorp LLC; Yulia Marchenko, StataCorp LLC
Isabel Canette, StataCorp LLC; Kristin MacDonald, StataCorp LLC; Yulia Marchenko, StataCorp LLC
R package: rpms, Recusive Partitioning for Modeling Survey Data
Daniell Toth, US Bureau of Labor Statistics
Daniell Toth, US Bureau of Labor Statistics
Wed, Jun 16, 12:00 PM - 1:30 PM
Networking Lounge
Networking Event
Networking Event
Wed, Jun 16, 1:30 PM - 3:30 PM
CS25 - The Future of Establishment Surveys Is Easy as ABC: AI, Big Data, Cutting-Edge Survey Design
Invited
Invited
Organizer(s): Gary Christopher Brown, Office for National Statistics, UK
Chair(s): Danni Lewis, Office for National Statistics
1:35 PM
AI Models in Survey Estimation
Kelly McConville, Reed College
Kelly McConville, Reed College
2:00 PM
Methods for Estimating the Quality of Multisource Statistics
Arnout Van Delden, Statistics Netherlands (CBS)
Arnout Van Delden, Statistics Netherlands (CBS)
2:25 PM
Smarter Designs, Not Just Alternative
Gary Christopher Brown, Office for National Statistics, UK
Gary Christopher Brown, Office for National Statistics, UK
Discussant(s): Wesley Yung, Statistics Canada
Wed, Jun 16, 1:30 PM - 3:30 PM
CS26 - Advanced Imputation Techniques for Handling Missing Data
Topic Contributed
Topic Contributed
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): Sixia Chen, University of Oklahoma Health Sciences Center
1:35 PM
On the Missing Data Analysis with High-Dimensional Data
Chao Xu, University of Oklahoma Health Science Center
Chao Xu, University of Oklahoma Health Science Center
1:55 PM
Why, When, and How to Weight When Imputing
Phillip S Kott, RTI International
Phillip S Kott, RTI International
2:15 PM
Estimation for nonignorable missing responses or covariates using semi-parametric quantile regression imputation and a parametric response probability model
Emily Berg, Iowa State University
Emily Berg, Iowa State University
2:35 PM
Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems
Yichuan Zhao, Georgia State University
Yichuan Zhao, Georgia State University
Discussant(s): Don Jang, NORC
Wed, Jun 16, 1:30 PM - 3:30 PM
CS27 - Statistical Confidentiality and Establishment Surveys: Challenges and Solutions to Improving Data Utility
Topic Contributed
Topic Contributed
Organizer(s): Tom Krenzke, Westat
Chair(s): Daniell Toth, US Bureau of Labor Statistics
1:35 PM
Construction of a Feasible, Complete Table from a Published Table with Suppressions
Bei Wang, Census Bureau
Bei Wang, Census Bureau
1:55 PM
Modernizing EIA’s Cell Suppression Software Used in Disclosure Limitation
David Kinyon, U.S. Energy Information Administration
David Kinyon, U.S. Energy Information Administration
2:15 PM
A Proposed 'Bottom-Up' Differential Privacy Approach for Disclosure Prevention in Data Query Tool
Jianzhu Li, Westat
Jianzhu Li, Westat
2:35 PM
Data Protection Toolkit’s Playbook as Demonstrated Through the PIAAC Prison Study
Tom Krenzke, Westat
Tom Krenzke, Westat
2:55 PM
Improving Access to Statistics Canada Business Data
Steven Keir Thomas, Statistics Canada
Steven Keir Thomas, Statistics Canada
Wed, Jun 16, 1:30 PM - 3:30 PM
CS28 - Minimizing Revisions for a Monthly Indicator
Topic Contributed
Topic Contributed
Organizer(s): Laura Terese Bechtel, US Census Bureau
Chair(s): Scott Holan, US Census Bureau/ University of Missouri
1:35 PM
Evaluating the Link-Relative Estimator Used by a Monthly Economic Indicator Survey
Laura Terese Bechtel, US Census Bureau
Laura Terese Bechtel, US Census Bureau
1:55 PM
Identifying High-Priority Units for Analyst Imputation in a Monthly Economic Indicator Survey
Nicole Czaplicki, U.S. Census Bureau
Nicole Czaplicki, U.S. Census Bureau
2:15 PM
Imputation Models for a Monthly Economic Indicator Survey with Seasonal Data and Low Unit Response
Stephen James Kaputa, US Census Bureau
Stephen James Kaputa, US Census Bureau
2:35 PM
Nowcasting Versus Advanced Surveys for Estimating Austrian Principal Economic Indicators
Markus Froehlich, Statistics Austria
Markus Froehlich, Statistics Austria
Discussant(s): Scott A. Scheleur, U.S. Census Bureau
Wed, Jun 16, 3:45 PM - 4:45 PM
Birds of a Feather Discussions
Networking Event
Networking Event
Discussion Room Topics to Include:
Data Integration Issues and Estimating Quality of Estimates Based on Combined Data
Data Privacy and Confidentiality
Pre-testing Data Collection Instruments with Businesses