In this paper we employ techniques developed in spatial econometrics to analyse spatial patterns of technology diffusion, to detect clusters and to estimate theoretical models that incorporate space explicitly. These techniques correct for misspecifications resulting from the omission of spatial...

We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend and seasonal. Periodic time series models allow dynamic characteristics to depend on the period of the year, month, week or day. In the...

We apply theories of capital market failure to ana1yzeoptima1 financing of risky higher education. In the market solution,students can only finance their education through debt. There isunderinvestment in human capita1, because some students with socia1lyprofitable investments in human capita1...

This paper analyzes optimal linear taxes on capital and labor incomes in a life-cyclemodel of human capital investment, financial savings, and labor supply with heteroge-nous individuals. A dual income tax with a positive marginal tax rate on not onlylabor income but also capital income is...

In non-experimental sciences the errors associated with model misspecifications in primarystudies carry over to meta-analysis. We use Monte Carlo simulations to analyse the effects ofthese misspecifications on results of a meta-analysis using a meta-estimator that calculates asimple average...

We develop models of optimal linear and non-linear income taxation with endogenous human capital formation to explore optimal education subsidies. Optimal subsidies on education ensure efficiency in human capital accumulation and thus play an important role in alleviating the tax distortions on...

We model 1981-2002 annual US default frequencies for a panel of firms in different rating and age classes. The data is decomposed into a systematic and firm-specific risk component, where the systematic component reflects the general economic conditions and default climate. We have to cope with...

A new empirical reduced-form model for credit rating transitions is introduced. It is a parametric intensity-based duration model with multiple states and driven by exogenous covariates and latent dynamic factors. The model has a generalized semi-Markov structure designed to accommodate many of...

To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...

Risk is at the center of many policy decisions in companies, governments and other institutions. The risk of road fatalities concerns local governments in planning counter- measures, the risk and severity of counterparty default concerns bank risk managers on a daily basis and the risk of...