We attempt to present Denis Sargan's work in some kind of historical perspective, in two ways. First, we discuss some previous members of the Tooke Chair of Economic Science and Statistics, which was founded in 1859 and which Sargan held. Second, we discuss one of his artices 'Asymptotic Theory...

The goal of the present paper is to investigate not only the dynamics of the Greek public debt, but also what are the appropriate measures required for achieving fiscal consolidation. The empirical estimation is carried out using a macroeconomic dataset spanning the period 1980-2008 and both the...

The goal of the present paper is to investigate not only the dynamics of the Greek public debt, but also what are the appropriate measures required for achieving fiscal consolidation. The empirical estimation is carried out using a macroeconomic dataset spanning the period 1980-2008 and both the...

We study the effect of providing relative performance feedback information on performance under piece-rate incentives. A natural experiment that took place in a high school offers an unusual opportunity to test this effect in a real-effort setting. For one year only, students received...

Many economists and educators favour public support for education on the premise that education improves the overall well-being of citizens. However, little is known about the causal pathways through which education shapes people’s subjective well-being (SWB). This paper explores the direct...

In the psychology literature, “choking under pressure” refers to a behavioural response to an increase in the stakes. In a natural experiment, we study the gender difference in performance resulting from changes in stakes. We use detailed information on the performance of high-school...

We study the mechanics of transmission of fiscal shocks to labour markets. We characterize a set of robust implications following government consumption, investment and employment shocks in a RBC and a New- Keynesian model and use part of them to identify shocks in the data. In line with the...

This paper presents a Markov chain Monte Carlo algorithm for a class of multivariate diffusion models with unobserved paths. This class is of high practical interest as it includes most diffusion driven stochastic volatility models. The algorithm is based on a data augmentation scheme where the...

We address the problem of parameter estimation for diffusion driven stochastic volatility models through Markov chain Monte Carlo (MCMC). To avoid degeneracy issues we introduce an innovative reparametrisation defined through transformations that operate on the time scale of the diffusion. A...