Quarterly GDP figures usually are published with a delay of some weeks. A common way to generate GDP series of higher frequency, i.e. to nowcast GDP, is to use available indicators to calculate a single index by means of a common factor derived from a dynamic factor model (DFM). This paper deals...

In this paper, we study a two-country dynamic setup with environmental externalities and potential model mis-specification in relation to this public good. Under model uncertainty, robust policies help to correct the inefficiencies associated with free riding on public good provision, implying...

This paper studies the aggregate and distributional implications of introducing user fees for publicly provided excludable public goods into a model with consumption and income taxes. The setup is a neoclassical growth model where agents differ in earnings and second-best policy is chosen by a...

Measured rates of growth in real per capita income differ drastically depending on the data source. This phenomenon occurs largely because data sets differ in whether and how they adjust for changes in relative prices across countries. Replication of several recent studies of growth determinants...

The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations...

In this paper we study the effect of institutional reform on the decision to hold risky assets at the extensive and the intensive margin. We therefore make use of the natural experiment of German Division and Reunification and, based on savings bank customer data from German savings banks, study...

Long-run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have...

We have argued that from the standpoint of a policy maker, the uncertainty of using the average forecast is not the variance of the average, but rather the average of the variances of the individual forecasts that incorporate idiosyncratic risks. With a slight reformulation of the loss function...

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...