Measurement of Income Inequality and Work Effort
Thursday, November 2, 2017: 10:15 AM-11:45 AM
Stetson F (Hyatt Regency Chicago)
*Names in bold indicate Presenter
Panel Organizers: Samuel L. Myers, University of Minnesota
Panel Chairs: Samuel L. Myers, University of Minnesota
Discussants: Darrick Hamilton, The New School and William Spriggs, AFL-CIO
Social equity measures rely on major public data sets. There is an emerging debate about whether certain social equity measures -- e.g. black-white earnings disparities -- overstate measures of inequality because of biases in public data sets. This panel includes papers that address questions of potential biases that arise using public data when measuring racial earnings inequality and work effort. The measurement issues addressed include non-response biases, top-coding problems, imputation errors, and issues associated with missing data and sample selection. Solutions offered include use of administrative data and correction techniques that permit testable hypotheses about non-responses.