title: Measurement error in the Current Population Survey: a nonparametric look.
abstract: "This article utilizes an exact match file between the 1978 March [U.S.] Current Population Survey and administrative records from the Social Security Administration to analyze errors in the reporting of annual income using nonparametric methodology.... Three new findings are of interest: there is higher measurement error in cross-sectional samples than in panels. The negative relationship between measurement error and earnings is driven largely by overreporting among low earners. Median response errors are not related to earnings."
mesh_terms: D000569:Americas; D003625:Data Collection; D019049:Developed Countries; D004467:Economics; D005069:Evaluation Studies as Topic; D007182:Income; D009656:North America; D012106:Research; D012107:Research Design; D012494:Sampling Studies; D012959:Socioeconomic Factors; D014481:United States
keywords: Americas; Data Collection; Data Reporting; Developed Countries; Economic Factors; Error Sources; Evaluation; Evaluation Methodology; Income; Measurement; North America; Northern America; Research Methodology; Sampling Studies; Socioeconomic Factors; Studies; Surveys; United States