, as one might expect, given the subjective nature of the best-set selection process. While “best estimate selection bias … of the VSL are similar to those in the all-set sample. The bias-corrected estimate of the VSL for the all-set USA sample …

In this paper, I present a simple characterization of the sample selection bias problem that is also applicable to the … problem of sample selection bias is fit within the conventional specification error framework of Griliches and Theil. A simple … estimator is discussed that enables analysts to utilize ordinary regression methods to estimate models free of selection bias …

to panel attrition, which are thought to worsen the bias resulting from initial nonresponse. However, under certain … conditions an initial wave nonresponse bias may vanish in later panel waves. We study such a "Fade away" of an initial … nonresponse bias in the context of regression analysis. By using a time series approach for the covariate and the error terms we …

This paper focuses on how survey misreporting of food stamp receipt can bias demographic estimation of program … census data. Census data are subject to a lot of misreporting error, both under-reporting and over-reporting, which can bias … the estimates. The impact of misreporting error on estimate bias is examined by calculating food stamp participation rates …