In this paper we propose the extension of the covariate-augmented Dickey Fuller (CADF) test for unit roots developed by Hansen (1995} to the panel case. We show that the extension is viable and gives power gains with respect to the time series approach. Particular attention is paid to cross-unit...

This paper provides a theoretical functional representation of the density function related to the Dickey- Fuller random variable. The approach is extended to cover the multivariate case in two special frameworks: the independence and the perfect correlation of the series.

The false discovery rate (FDR, Benjamini and Hochberg 1995) is a powerful approach to multiple testing. However, the original approach developed by Benjamini and Hochberg (1995) applies only to independent tests. Yekutieli (2008) showed that a modification of the Benjamini-Hochberg (BH) approach...

This paper investigates the reasons that determine students’ mobility in Italy and tries to explain why in the presence of quality differentials among universities the majority of students choose to remain in their regions of origin. We find that low mobility is related to family income and...

Individual wage expectations of the Italian unemployed are studied. The analysis is carried out separately for the north-central and southern Italian regions. Results show a marked difference in expectations formation, with the northern unemployed using information more efficiently. A tentative...

By focusing on the Italian experience, we ask whether the relationship between labor taxes and unemployment varies across regions. In spite of similar national labor market institutions, we show that this relationship is significantly stronger in the highly industrialized North than in the less...

This paper describes CADFtest, a R (R Development Core Team 2008) package for testing for the presence of a unit root in a time series using the Covariate Augmented Dickey-Fuller (CADF) test proposed in Hansen (1995). The procedures presented here are user friendly, allow fully automatic model...

The effect of spatial agglomeration (localisation and urbanisation economies) on employment growth is explored over a balanced panel of 23,374 Italian firms, using a flexible Bayesian model. Contrary to previous research, the agglomeration economies measures are calculated using direct measures...

The use of Gross Domestic Product (GDP) as a summary measure of the level of economic activity is pervasive in empirical economics, policy analysis and forecasting. This pervasive role of GDP and its nature of "public good" raises obvious problems of timeliness and accuracy of the data. A...

In this paper we propose a simple model to forecast industrial production in Italy up to 6 months ahead. We show that the forecasts produced using the model outperform some popular forecasts as well as those stemming from an ARIMA model used as a benchmark and those from some single equation...