Using panel data for 143 countries over the period 1973 - 2002, this paper empirically analyzes the influence of US aid on voting patterns in the UN General Assembly. We use disaggregated aid data to account for the fact that various forms of aid may differ in their ability to induce political...

This paper empirically analyzes the impact of aid on education for about 100 countries over the period 1970 - 2005. We estimate a system of equations to test whether and to what extent the impact of sector-specific aid on educational attainment depends on (i) the extent to which aid adds to...

Major DAC donors are widely criticized for weak targeting of aid, selfish aid motives and insufficient coordination. The emergence of an increasing number of new donors may further complicate the coordination of international aid efforts. On the other hand, new donors (many of which were aid...

It is common practice to identify the number and sources of shocks that move implied volatilities across space and time by applying Principal Components Analysis (PCA) to pooled covariance matrices of changes in implied volatilities. This approach, however, is likely to result in a loss of...

The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A methodology is proposed for estimating and testing coefficient functions for ergodic diffusions that are not directly observable. It is based on...

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on multivariate GARCH models. These models assume that the variance of the innovation distribution follows a time dependent process conditional on information which is generated by...

In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any parametric specification of the volatility process and...

One puzzling behavior of asset returns for various frequencies is the often observed positive autocorrelation at lag 1. To some extent this can be explained by standard asset pricing models when assuming time varying risk premia. However, one often finds better results when directly fitting an...