The fall in employment and the increase in unemployment rates in Italy in 2009 were fairly modest, given the sharp drop in GDP and compared with the recession of the early 1990s. This work shows that these data should be interpreted with caution, however. Firstly, employment trends as measured...

A coincidence in time between the volatility break associated with the "Great Moderation" and large changes in the pattern of conditional and unconditional correlations between output, hours and labor productivity was detected by Gal� and Gambetti (2009). We provide a novel explanation for...

I consider an economy growing along the balanced growth path that is hit by an adverse shock to its capital accumulation process. The model integrates efficiency wages due to imperfect monitoring of the quality of labour in a search and matching framework with methods of dynamic general...

We develop a model which accounts for the observed equity premium and average risk free rate, without implying counterfactually high risk aversion. The model also does well in accounting for business cycle phenomena.

A large literature investigates the role of frictions in explaining labour market dynamics. Their presence is often summarized by an aggregate matching function relating the number of job matches to total unemployment and total vacancies. Most empirical specifications, however, are only reduced...

I analyze empirically the effects of both urban and industrial agglomeration on men�s and women�s search behavior and on the efficiency of matching. The analysis is based on a unique panel data set from the Italian Labor Force Survey micro-data, which covers 520 randomly drawn Local...

This paper employs a unique Italian data source to take a comprehensive approach to labor market pooling. It jointly considers many different aspects of the agglomeration - labor market relationship, including turnover, learning, matching, and hold up. It also considers labor market pooling from...

We suggest the use of an index of Internet job-search intensity (the Google Index, GI) as the best leading indicator to predict the US monthly unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt our preferred leading indicator (GI), the more...

This paper studies how family firms reacted to the 2008 economic crisis by adjusting employment. In particular, we look at how the geographical distribution of the workforce may have led to divergencies between family and non-family firms. Using a difference-in-difference approach, we provide...