This paper examines the potential costs and benefits associated with a risk-sharing policy imposed on all higher education institutions. Under such a program, institutions would be required to pay for a portion of the student loans among which their students defaulted. I examine the predicted...

We investigate the socio-economic determinants of mortgage delinquency in 12 EU countries and observe that income volatility significantly increases the mortgage delinquency risk. This pattern even holds for borrowers with higher-income profiles if volatility in income is high enough. From this...

This paper examines the empirical link between severance pay and corporate finance. Severance pay is an economic debt of the employer and hence should be taken into account by the market in its assessments of risk. Using a hand collected dataset of accounting data from Italy and Austria we find...

There is wide agreement the US student loan system faces significant problems. Seven million borrowers are in default and many more experience non-repayment. The stress of repayments faced by many students results at least in part from the design of US student loans. Specifically, loans are...

The expansion of regionalism has spawned an extensive theoretical literature analysing the effects of Free Trade Agreements (FTAs) on trade flows. In this paper we focus on FTAs (also called European agreements) between the European Union (EU-15) and the Central and Eastern European countries...

This paper presents new evidence on intergenerational income and earnings mobility in the top of the distributions. Using a large dataset of matched father-son pairs in Sweden we are able to obtain results for fractions as small as 0.1 percent of the population. Overall, mobility is lower for...

This note argues that nonparametric regression not only relaxes functional form assumptions vis-a-vis parametric regression, but that it also permits endogenous control variables. To control for selection bias or to make an exclusion restriction in instrumental variables regression valid,...

In this paper we describe an alternative iterative approach for the estimation of linear regression models with high-dimensional fixed-effects such as large employer-employee data sets. This approach is computationally intensive but imposes minimum memory requirements. We also show that the...

We investigate the problem of optimal choice of the smoothing parameter (bandwidth) for the regression discontinuity estimator. We focus on estimation by local linear regression, which was shown to be rate optimal (Porter, 2003). Investigation of an expected-squared-error-loss criterion reveals...

Researchers are often interested in estimating the causal effect of some treatment on individual criminality. For example, two recent relatively prominent papers have attempted to estimate the respective direct effects of marriage and gang participation on individual criminal activity. One...