Students of introductory courses consider statistics as particularly difficult, as the understanding of the underlying concepts may require more time and energy than for other disciplines. For decades statisticians have tried to enhance understanding with the help of technical solutions such as...

This paper analyses how the output or unemployment cost of achieving a sustainable reduction in the rate of inflation depends on the structure of the wage-price process and how the "sacrifice ratio" can be minimized. In models where the natural rate is invariant under the anti-inflationary...

This paper analyses how the output or unemployment cost of achieving a sustainable reduction in the rate of inflation depends on the structure of the wage-price process and how the "sacrifice ratio" can be minimized. In models where the natural rate is invariant under the anti-inflationary...

Governments through the ages have appropriated real resources through the monopoly of the "coinage". In modern fiat money economies, the monopoly of the issue of legal tender is generally assigned to an agency of the state, the Central Bank, which may have varying degrees of operational and...

Most dimension reduction methods based on nonparametric smoothing are highly sensitive to outliers and to data coming from heavy tailed distributions. We show that the recently proposed MAVE and OPG methods by Xia et al. (2002) allow us to make them robust in a relatively straightforward way...

The paper studies the inflation rate associated with optimal monetary and fiscal policy in a number of standard dynamic stochastic general equilibrium models with nominal price rigidities. While the focus is on Calvo-style nominal price contracts with a range of indexation rules for constrained...

Large and growing levels of public debt in the United States, United Kingdom, Japan and the Euro Area raise new interest in the cross-country effects of a large open economy's deficits. We consider a dynamic optimising model with costly tax collection and exogenously given public spending and...

We develop inference tools in a semiparametric partially linear regression model with missing response data. A class of estimators is defined that includes as special cases: a semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted...