We propose a subregional panel approach to the determinants of life insurance development, with new methodological tools, applied to Italian data. Our sample has enough variability in observables and less unobserved heterogeneity than cross-country ones, but is potentially affected by spatial dependence and serial correlation. We propose an encompassing estimator, showing that the spatial diffusion process of life insurance is driven by idiosyncratic shocks in neighbors. Our results partly reconcile the aggregate perspective with survey evidence supporting, in contrast to international studies, a negative link between education and risk aversion, and identifying the positive effect of young dependents predicted by theory
This paper adopts a dynamic spatial panel data model with common factors to explain the non-stationa...
The hypothesis of complete consumption risk-sharing suggests that only uninsurable national and int...
We investigate the influence of institutional factors upon life insurance demand for 32 European cou...
We analyze the demand for life and non-life insurance across 103 Italian provinces in 1996-2002. We ...
We analyze the consumption of non-life insurance across 103 Italian provinces in 1998\u20132002 in o...
We analyze the consumption of non-life insurance across 103 Italian provinces in 1998-2002 in order ...
The authors analyze the demand for life and non-life insurance across 103 Italian provinces in 1994-...
Lavoro presentato a SEA 2007, July 11-14 (The first World Conference of the Spatial Econometrics Ass...
Lavoro presentato ad "International Thematic workshop on Geographic Information Analysis for economi...
In this paper, we propose a new method for investigating consumption insurance. Differently from the...
This work adds to the debate on the determinants of the demand for life insurance providing new insi...
Il lavoro effettua una sintetica ricognizione della letteratura empirica sull’ipotesi di perfetta co...
This paper tests potential determinants of the development of the insurance sector. Using a rich dat...
The hypothesis of complete consumption risk-sharing suggests that only uninsurable national and inte...
Is the relationship between insurance consumption and its determinants spurious? Is general insuranc...
This paper adopts a dynamic spatial panel data model with common factors to explain the non-stationa...
The hypothesis of complete consumption risk-sharing suggests that only uninsurable national and int...
We investigate the influence of institutional factors upon life insurance demand for 32 European cou...
We analyze the demand for life and non-life insurance across 103 Italian provinces in 1996-2002. We ...
We analyze the consumption of non-life insurance across 103 Italian provinces in 1998\u20132002 in o...
We analyze the consumption of non-life insurance across 103 Italian provinces in 1998-2002 in order ...
The authors analyze the demand for life and non-life insurance across 103 Italian provinces in 1994-...
Lavoro presentato a SEA 2007, July 11-14 (The first World Conference of the Spatial Econometrics Ass...
Lavoro presentato ad "International Thematic workshop on Geographic Information Analysis for economi...
In this paper, we propose a new method for investigating consumption insurance. Differently from the...
This work adds to the debate on the determinants of the demand for life insurance providing new insi...
Il lavoro effettua una sintetica ricognizione della letteratura empirica sull’ipotesi di perfetta co...
This paper tests potential determinants of the development of the insurance sector. Using a rich dat...
The hypothesis of complete consumption risk-sharing suggests that only uninsurable national and inte...
Is the relationship between insurance consumption and its determinants spurious? Is general insuranc...
This paper adopts a dynamic spatial panel data model with common factors to explain the non-stationa...
The hypothesis of complete consumption risk-sharing suggests that only uninsurable national and int...
We investigate the influence of institutional factors upon life insurance demand for 32 European cou...