Trouble in the tails? : what we know about earnings nonresponse thirty years after Lillard, Smith, and Welch / Christopher R. Bollinger (University of Kentucky), Barry T. Hirsch (Georgia State University and IZA), Charles M. Hokayem (U.S. Census Bureau), James P. Ziliak (University of Kentucky) ; IZA Institute of Labor Economics
VerfasserBollinger, Christopher R. ; Hirsch, Barry T. ; Hokayem, Charles M. ; Ziliak, James Patrick
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, July 2018
Elektronische Ressource
Umfang1 Online-Ressource (45, A-20 Seiten) : Diagramme
SerieDiscussion paper ; no. 11710
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Trouble in the tails? [3.9 mb]
Verfügbarkeit In meiner Bibliothek
Zusammenfassung (Englisch)

Earnings nonresponse in household surveys is widespread, yet there is limited knowledge of how nonresponse biases earnings measures. We examine the consequences of nonresponse on earnings gaps and inequality using Current Population Survey individual records linked to administrative earnings data. The common assumption that earnings are missing at random is rejected. Nonresponse across the earnings distribution is U-shaped, highest in the left and right tails. Inequality measures differ between household and administrative data due in part to nonresponse. Nonresponse biases earnings differentials by race, gender, and education, particularly in the tails. Flexible copula-based models can account for nonrandom nonresponse.