Social surveys are often used to estimate unemployment duration distributions. Survey non-response may then cause a bias. We study this by using a data set that combines survey information of individual workers with administrative records of the same workers. The latter provide information on...

Das Thema Nachhaltigkeit und deren Bewertung, insbesondere der ökologischen Komponente des Nachhaltigkeitsbegriffs, gewinnt auch in der Holz- und Möbelindustrie immer mehr an Bedeutung. Zugleich ist die Möbelindustrie ein nicht unerheblicher Verbraucher von Holz und Holzwerkstoffen. Für die...

Durch Energieeinsparungen in der Nutzungsphase eines Gebäudes gewinnen Produktions-, Konstruktions- und Entsorgungsphase eines Gebäudes immer mehr an Bedeutung. Für eine ganzheitliche Nachhaltigkeitsbewertung hat das Europäische Komitee für Normung (CEN) daher einen horizontalen Normensatz...

This paper proposes a powerful alternative to the t-test of the null hypothesis that a coefficient in linear regression is equal to zero when a regressor is mismeasured. We assume there are two contaminated measurements of the regressor of interest. We allow the two measurement errors to be...

This paper considers nonparametric identification and estimation of the regression function when a covariate is mismeasured. The measurement error need not be classical. Employing the small measurement error approximation, we establish nonparametric identification under weak and...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

Measurement error is a common phenomenon in the empirical sciences. Longitudinal data can especially be affected by it, as measurement error can influence measures of change, which is one of the primary reasons for collecting longitudinal data in panel surveys. However, measurement error in...

We investigate the behavior of nonparametric kernel M-estimators in the presence of long-memory errors. The optimal bandwidth and a central limit theorem are obtained. It turns out that in the Gaussian case all kernel M-estimators have the same limiting normal distribution. The motivation behind...

Prediction in time series models with a trend requires reliable estimation of the trend function at the right end of the observed series. Local polynomial smoothing is a suitable tool because boundary corrections are included implicitly. However, outliers may lead to unreliable estimates, if...

Many statistical applications require the forecast of a random variable of interest over several periods into the future. The sequence of individual forecasts, one period at a time, is called a path forecast, where the term path refers to the sequence of individual future realizations of the...