We examine the determinants of financial development using our global sample and employing a rich set of measures of financial development that assess the degree of depth, access, stability and efficiency of financial intermediaries. We use Bayesian model averaging to test competing theories...

We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an...

This paper analyses the role of financial development and financial technology in driving inequality in (returns to) wealth. Using micro data from the Survey on Household Income and Wealth (SHIW) conducted by the Bank of Italy for the period 1991-2016, we find evidence of the "Matthew effect" -...

This paper analyses the role of financial development and financial technology in inequality in (returns to) wealth. Using micro data from the Survey on Household Income and Wealth (SHIW) conducted by the Bank of Italy over the period 1991-2016, we find that financial development (number of bank...

Using a global sample, this paper investigates the determinants of wealth inequality capturing various economic, financial, political, institutional, and geographical indicators. Using instrumental variable Bayesian model averaging, it reveals that only a handful of indicators robustly matter...

Using a global sample, this paper investigates the determinants of wealth inequality capturing various economic, financial, political, institutional, and geographical indicators. Using instrumental variable Bayesian model averaging, it reveals that only a handful of indicators robustly matter...