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The effect of nonresponse and measurement error on wage regression across survey modes
A validation study
Kirchner, A., & Felderer, B. (2017). The effect of nonresponse and measurement error on wage regression across survey modes: A validation study. In P. P. Biemer, E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L. E. Lyberg, N. C. Tucker, & B. T. West (Eds.), Total survey error in practice (pp. 531-556). John Wiley & Sons, Inc.. https://doi.org/10.1002/9781119041702.ch24
This chapter examines the differential effects of nonresponse and measurement error on regression coefficients by comparing a web survey to a telephone survey administration. It investigates the effects of these different error sources on a wage regression comparing survey and administrative data for a large-scale mixed-mode survey. Before investigating the potential biasing effects of nonresponse and measurement error on wage regressions, the chapter briefly reviews the types of bias encountered in mean statistics of the Work and Consumption in Germany (WCG) survey. The analyses for the WCG survey show that the biasing effects of nonresponse, measurement, and combined error highly depend on the variable that is investigated. The chapter compares three different survey respondent models adjusting for nonresponse to investigate whether the combined bias can be reduced and to assess which adjustment strategy is most useful.