We study the political determination of the proportion of students attending university when access to higher education is rationed by admission tests. Parents differ in income and in the ability of their unique child. They vote over the minimum ability level required to attend public...

As is now well documented, aid is given for both political as well as economic reasons. The conventional wisdom is that politically-motivated aid is less effective in promoting developmental objectives. We examine the ex-post performance ratings of World Bank projects and generally find that...

We study the role of self-interest and social preferences in referenda. Our analysis is based on collective purchasing decisions of university students on deep-discount flat rate tickets for public transportation and culture. Individual usage data allows quantifying monetary benefits associated...

We study a classic mechanism design problem: How to organize trade between two privately informed parties. We characterize an optimal mechanism under selfish preferences and present experimental evidence that, under such a mechanism, a non-negligible fraction of individuals deviates from the...

We experimentally study the influence of local information conditions on elite capture and social exclusion in community-based development schemes with heterogeneous groups. Not only information on the distribution of aid resources through community-based schemes, but also information on who...

We characterize the dynamic properties of Generalized Autoregressive Score (GAS) processes by identifying regions of the parameter space that imply stationarity and ergodicity. We show how these regions are affected by the choice of parameterization and scaling, which are key features of GAS...

An exact maximum likelihood method is developed for the estimation of parameters in a non-Gaussian nonlinear log-density function that depends on a latent Gaussian dynamic process with long-memory properties. Our method relies on the method of importance sampling and on a linear Gaussian...

Combined forecasts from a linear and a nonlinear model areinvestigated for timeseries with possibly nonlinear characteristics. The forecasts arecombined by aconstant coefficient regression method as well as a time varyingmethod. Thetime varying method allows for a locally (non)linear model....