Traditional models of factor demand rely upon convex and symmetric adjustment costs: however, the fortune of this highly restrictive model is due more to analytical convenience than to actual empirical relevance. In this note we first examine the model of employment adjustment under the more...

Traditional models of factor demand rely upon convex and symmetric adjustment costs: however, the fortune of this highly restrictive model is due more to analytical convenience than to actual empirical relevance. In this note we first examine the model of employment adjustment under the more...

We address the issue of panel cointegration testing in dependent panels, showing by simulations that tests based on the stationary bootstrap deliver good size and power performances even with small time and cross-section sample sizes and allowing for a break at a known date. They can thus be an...

A rural country in the 1950's, Italy is now a large industrial economy. In this paper we show through a joint analysis of spatial autocorrelation and concentration of employment that this development has not been driven by centre-periphery mechanisms.

A bootstrap algorithm proposed by Psaradakis (2001) for hypothesis testing in I(1) regressions is discussed and shown to be valid only under the null hypothesis. A simple correction making the procedure valid under both the null and the alternative hypothesis is proposed.

A bootstrap algorithm proposed by Psaradakis (2001) for hypothesis testing in I(1) regressions is discussed and shown to be valid only under the null hypothesis. A simple correction making the procedure valid under both the null and the alternative hypothesis is proposed.