The sample selection model is based upon a bivariate or a multivariate structure, and distributional assumptions are in this context more severe than in univariate settings, due to the limited availability of tractable multivariate distributions. While the standard FIML estimation of the...

This paper explores the implications of possible bias cancellation using Rubin-style matching methods with complete and incomplete data. After reviewing the naı̈ve causal estimator and the approaches of Heckman and Rubin to the causal estimation problem, we show how missing data can complicate...

Der Gesetzgeber läßt im Handelsgesetzbuch (HGB) zahlreiche mathematisch-statistische Stichprobenverfahren zur Inventur zu. Die dort vorgeschriebenen Richtlinien finden auch in anderen Sparten der Wirtschaftsprüfung bei statistischen Hochrechnungen Verwendung. Eigentümliche Vorstellungen...

Missing survey data occur because of unit and item non-response. This is practically independent of the method of data collection. As a result of the bias that non-response sometimes introduces in survey estimates, identifying factors that promote it, and taking measures of prevention and...