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 …

In this paper I analyze GMM estimation when the sample is not a random draw from the population of interest. I exploit …

CPS makes no effort to follow movers, these panels exhibit significant attrition, which may lead to bias in longitudinal … sampling frame and design as the CPS, but makes substantial efforts to follow individuals that move, we use the SIPP to … construct 'data-based' rather than 'model-based' corrections for bias from selective attrition. The approach is applied to a …

subject to omitted variable bias despite the inclusion of control variables. If the direction of omitted variable bias were … modest than retrospective studies suggest. Bias appears to be reduced by a differences-in-differences estimator that examines …

first characterize the biases in both network statistics and estimates of network effects under non-random sampling … theoretically and numerically. Sampled network data systematically bias the properties of observed networks and suffer from non …-classical measurement-error problems when applied as regressors. Apart from the sampling rate and the elicitation procedure, these biases …

This paper documents that rotation group bias -- the tendency for labor force statistics to vary systematically by … groups; both should be nationally representative samples. The rise in rotation group bias is driven by a growing tendency for … bias. We find that rotation group bias increased discretely after the 1994 CPS redesign and that rising nonresponse is …