In this paper we try to estimate the impact of Structural Funds on the growth rates of Objective 1 European regions during the two first Programming periods (1989-2000). For that purpose, we develop a ''hybrid'' model of economic growth that partially endogenizes the rate of technical progress...

This paper investigates the properties of optimal monetary and fiscal policy in a two sector small open economy. If the government can optimally select all possible distorting tax rates, then it can implement Pareto efficient outcomes and the Friedman Rule is found to be a necessary condition...

One way to interpret the current policies of many central banks is that they seek to stabilize economic activity. One possible justification for such a policy is that there is volatility in macro variables that individual agents cannot insure against. We study the simplest possible extension of...

This paper examines the optimal (first-best) fiscal policy in a stochastic representative agent model that exhibits a ``keeping up with the Joneses'' utility function and imperfectly competitive product markets. We find that the optimal labor tax is a constant, whose sign is determined by the...

This paper tackles the problem of aggregate TFP measurement using stochastic frontier analysis (SFA). Data from Penn World Table 6.1 are used to estimate a world production frontier for a sample of 75 countries over a long period (1950-2000) taking advantage of the model offered by Battese &...

This paper examines the intensity of financial crises during the 1990s with a view to informing crisis prevention and mitigation policies. We compare the performance of a full Bayesian and an information-theoretic approach in addressing the econometric problems posed by the lack of a unifying...

In the productivity modelling literature, the disturbances U (representing technical inefficiency) and V (representing noise) of the composite error W=V-U of the stochastic frontier model are assumed to be independent random variables. By employing the copula approach to statistical modelling,...

We consider the issue of cross sectional aggregation in nonstationary, heterogeneous panels where each unit cointegrates. We first derive the asymptotic properties of the aggregate estimate, and a necessary and sufficient condition for cointegration to hold in the aggregate relationship. We also...

This paper develops a new simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can deal with the commonly encountered and widely discussed ``initial conditions problem,'' as well as the...

In this paper we compare the size and the power of four cointegration tests in heterogeneous panel data, with both varying intercepts and slopes. These tests are (i) Kao (1999) Tests (both Dickey-Fuller (DF) and augmented Dickey-Fuller (ADF) types of cointegration tests in panel data), (ii)...