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167
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Tue, 8/10/2021,
10:00 AM -
11:50 AM
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Virtual
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Data Mining and Econometrics — Contributed Speed
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Business and Economic Statistics Section, Text Analysis Interest Group
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Chair(s): Jonathan R Bradley, Florida State University
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10:05 AM
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Locally Stationary Quantile Regression for Inflation and Interest Rates
Seonjin Kim, Miami University; Zhuying Xu, Indeed Inc; Zhibiao Zhao, Penn State University
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10:10 AM
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Comparison of US Median Family Income with Canada Through Simple Tables and Age-Period-Cohort Models with Interesting Stories Behind
Wenjiang Fu, University of Houston; Li Gan, Texas A&M University; Jiming Jiang, University of California, Davis
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10:15 AM
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Identification of Linear Rational Expectations Models with Exogenous Variables
Peter Zadrozny, Bureau of Labor Statistics
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10:20 AM
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Income Distribution Determinants: A Compositional Data Approach
Rafiq Hijazi, Zayed University
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10:25 AM
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Statistical Inference for Noisy Matrix Completion Incorporating Auxiliary Information
Shujie Ma, University of California, Riverside; Yinchu Zhu, Economics, Brandeis University; PoYao Niu, Department of Statistics, University of California, Riverside
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10:30 AM
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An Application of the LASSO Regression to Assess Poverty on ECOWAS Countries
Brian William Sloboda, Uop, Depart of Labor; Dennis Pearson , Austin Peay State University
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10:35 AM
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Ranking Interestingness Scores for Overdispersed and Heteroskedastic Data at Scale
Serge Sverdlov, Microsoft Corporation
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10:40 AM
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Detecting and Measuring Product Innovation in News Articles Using Google’s BERT
Neil Kattampallil, Biocomplexity Institute, University of Virginia; Gizem Korkmaz, University of Virginia; Gary Anderson, National Center for Science & Engineering Statistics, National Science Foundation
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10:45 AM
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Structural Breaks in Seemingly Unrelated Regression Models
Shahnaz Parsaeian, University of Kansas
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10:50 AM
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Identification and Estimation of Demand in Large Concentrated Markets
Saman Banafti, UC Riverside; Tae-Hwy Lee, University of California, Riverside
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11:00 AM
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Likelihood Specification in Simultaneous Equation Models for Discrete Data
Angela Vossmeyer, Claremont McKenna College; Ivan Jeliazkov, University of California, Irvine
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11:05 AM
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Identifying Number of Factors in Dynamic Factor Models Contributing to GDP Nowcasting: Bayesian Approach with Horse Shoe Shrinkage
Jiayi Luo, Department of Statistics, Iowa State University; Cindy Yu, Iowa State University
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11:10 AM
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Generating Differentially Private Synthetic Heavy-Tailed Data
Tran Tran, Pennsylvania State University; Matthew Reimherr, Penn State University; Aleksandra Slavkovic, Penn State University
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11:15 AM
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Using Real Estate Data to Improve Business Student Interpretation in Regression
Mitra Lal Devkota, University of North Georgia ; Eric B Howington, Valdosta State University
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11:20 AM
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Improving Weight Representivity of Fixed Quantity Consumer Price Index Products
Joshua Klick, Bureau of Labor Statistics
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11:25 AM
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Shapley-Value-Based Feature Attribution for Risk-Utility Tradeoff in Data Privacy
Francis Bilson Darku, University of Notre Dame; Xinxue Qu, University of Notre Dame; Hong Guo, University of Notre Dame
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11:30 AM
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Are Respondents Changing the Way They Self-Select Their Industry Due to the COVID-19 Pandemic?
Sania Khan, US Bureau of Labor Statistics; Emily Thomas, US Bureau of Labor Statistics
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11:35 AM
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Email Solicitation for the Multiple Worksite Report (MWR) During the Pandemic
Kelly Quinn, U.S. Bureau of Labor Statistics; Emily Thomas, US Bureau of Labor Statistics
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11:40 AM
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Latent Class Modeling of Passenger Airfares in the US Airline Industry
Neela D Manage, Florida Atlantic University
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