The paper evaluates the quality of the German national accounting data (GDP and its use-side components) as measured by the magnitude and dispersion of the forecast/revision errors. It is demonstrated that government consumption series are the least reliable, whereas real GDP and real private...

The paper evaluates the quality of the German national accounting data (GDP and its use-side components) as measured by the magnitude and dispersion of the forecast/revision errors. It is demonstrated that government consumption series are the least reliable, whereas real GDP and real private...

We propose a new estimation methodology to address the presence of covariate measurement error by exploiting the availability of spatial data. The approach uses neighboring observations as repeated measurements, after suitably controlling for the random distance between the observations in a way...

Rankings enjoy growing popularity in the economical sciences. Well known institutions like the World Economic Forum, Heritage Foundation and the OECD make use of rankings to exert competitive pressure on the ranked countries. To achieve any such desired effects rankings need to be accepted and...

Measurement error and omitted variables are challenging problems in linear regression: they may render least squares estimation biased and inconsistent. Many proposals for consistent estimation require instrumental variables, but in practice valid instruments are often elusive. Theil suggests an...

"In this paper, stochastic production frontier models are estimated with IAB establishment data from waves 2002 and 2003 to analyze productivity and inefficiency. The data suffer from nonresponse in the most important variables (output, capital and labor) leading to the loss of 25 % of the...