We construct a growth model with an explicit government role, where more government resources reduce the optimal level of private consumption and of output per worker. In the empirical analysis, for a panel of 108 countries from 1970-2008, we use different proxies for government size and...

This paper explores the nuanced relationship between fiscal decentralization and fiscal sustainability. Employing panel data analyses, it scrutinizes how decentralization influences fiscal discipline across different governmental levels. Results for 185 countries show that while tax...

We study the relevance of fiscal rules for growth in an EU panel. Our results show that they foster growth, while stricter fiscal rules mitigate the adverse impact on growth from big governments. Moreover, more recent EU member states have gained from the implementation of fiscal rules.

This paper explores the nuanced relationship between fiscal decentralization and fiscal sustainability. Employing panel data analyses, it scrutinizes how decentralization influences fiscal discipline across different governmental levels. Results for 185 countries show that while tax...

This paper reviews the current discussions, methods, and practices surrounding the estimation of reasonable proxies for the underlying fiscal position, a useful anchor for fiscal policy. An empirical application to developing Asian economies is carried out. There is no one-size fits all type of...

This paper reviews the current discussions, methods, and practices surrounding the estimation of reasonable proxies for the underlying fiscal position, a useful anchor for fiscal policy. An empirical application to developing Asian economies is carried out. There is no one-size fits all type of...

This paper empirically links the efficiency and performance assessment of the general government, proxied by efficiency scores, to the trust in government. Government spending efficiency scores are first computed via data envelopment analysis (DEA). Then, relying on panel data and instrumental...