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...

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...

A growing literature documents the existence of strategic political reactions to public expenditure between rival jurisdictions. These interactions can potentially create a downward expenditure spiral (‘race to the bottom') or a rising expenditure spiral (‘race to the top'). However, in the...

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...

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...

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...

For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...

In this paper we specify a linear Cliff and Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate a multi-step...