We propose a structural model of two-sided matching and a semi-parametric procedure for its estimation that allow to analyze determinants of managers’ compensation such as firm’s and manager’s quality, production technology, bargaining power and inter-temporal preferences. We use the...

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 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...

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...

In this paper we consider several time-varying volatility and/or heavy-tailed models to explain the dynamics of return time series and to fit the volatility smile for exchange-traded options where the underlying is the main �Borsa Italiana� stock index. Given observed prices for the...

The Exponential Power Distribution (EPD), also known as Generalized Error Distribution (GED), is a flexible symmetrical unimodal family belonging to the exponential family. The EPD becomes the density function of a range of symmetric distributions with different values of its power parameter B....

We document the effects of a change in the Italian Ordinary Unemployment Benefits Scheme on the job search process. As of January 2001, the replacement rate was raised from 30% to 40% and benefits� duration extended from 6 to 9 months for workers aged 50 or more. Our results show that (a)...

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...

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...