The present research provides evidence on the determinants driving the differences in the unemployment-output relationship in Spanish regions. We followed a two-step approach. First, we estimated a set of time-varying Okun’s coefficients (rolling-window) for the autonomous communities in Spain...

Official statistics indicated a break in Okun's law in all the Spanish regions due to the COVID-19 pandemic; however, herein, evidence of the validity of the law is shown. The temporary layoff procedures (ERTE) allowed many workers to maintain their jobs. From the productive point of view, the...

This paper examines business cycle synchronization in the European Monetary Union with a special focus on the core-periphery pattern in the aftermath of the crisis. Using a quarterly index for business cycle synchronization by Cerqueira (2013), our panel data estimates suggest that it is...

Residential satisfaction depends on housing and neighborhood conditions in addition to housing cost affordability. To determine the relative importance of these factors, their average effect is usually estimated using sample data, eventually split in sub-samples in order to represent social...

This paper investigates the relationship between the spatial distribution of occupations with a high content of peer interactions and wages among Italian provinces. At this aim, we use a unique employer-employee dataset obtained by merging administrative data on wages and labor market histories...

The relationship between the labor force participation and the business cycle has become a topic in the economic literature. However, few studies have considered whether the cyclical sensitivity of the labor force participation is influenced by "social effects". In this paper, we construct a...

This paper aims to study the shortcomings and merits of the first experiment of quasi-market in the provision of employment services: the Lombardy DUL (Dote Unica Lavoro). This system, which has inspired the 2015 national reform within the Jobs Act, has reactivated and revitalized the sector by...

This paper assesses the impact of the first wave of the pandemic on the local economies of one of the hardest-hit countries, Italy. We combine quarterly local labor market data with the new machine learning control method for counterfactual building. Our results document that the economic...

This article presents an original spatial methodology based on a network analysis approach in order to identify and to track spatial similarities among economic activities as well as to analyse their interdependence. Traditionally, such interdependence is analysed using input-output matrices...

This paper examines labour market matching in Austria since 2008, with a particular focus on the effects of the COVID-19 pandemic at the regional and sectoral level. We use comprehensive monthly administrative data and apply a standard matching model to estimate Beveridge curves for different...