National Statistical Institutes [NSIs] are increasingly investigating new ways of providing access to confidential microdata for research purposes. These innovations are being driven by the requirement for NSIs to ensure the best possible return for their investments in data collection coupled...

This paper is a case study of the real world monetary policy data uncertainty problem. The initial and the latest release for growth rates of the distribution, hotels and catering sector are combined with official data on household income and two surveys in a state-space model. Though important...

In self-reported data usually a phenomenon called 'heaping' occurs, i.e. survey participants round the values of their income, weight or height to some degree. Additionally, respondents may be more prone to round off or up due to social desirability. By ignoring the heaping process a severe bias...

Geographically weighted small area methods have been studied in literature for small area estimation. Although these approaches are useful for the estimation of small area means efficiently under strict parametric assumptions, they can be very sensitive to outliers in the data. In this paper, we...

Modern systems of official statistics require the accurate and timely estimation of socio-demographic indicators for disaggregated geographical regions. Traditional data collection methods such as censuses or household surveys impose great financial and organizational burdens for National...

Leere Busse, ausgefallene Züge, verlassene Flughäfen, Menschen tauschen Tipps zum Spazierengehen aus. Die Mobilität ist in COVID-19-Zeiten stärker in den öffentlichen Fokus gerückt. Nicht zuletzt der Zusammenhang von Mobilität und Ansteckungsraten bringt Mobilitätskennwerte in...