
doi: 10.2139/ssrn.925051
This paper studies the fundamental determinants of cross-country differences in finnancial development. Two prominent tools for addressing model uncertainty, Bayesian Model Averaging and General-to-specific approaches, are jointly applied to investigate the financial development effects of a wide range of variables taken from various sources. The analysis suggests that the level of financial development in a country is determined by its institutional quality, macroeconomic policies, and geographic characteristics, as well as the level of income and cultural characteristics.
Financial development, Model uncertainty, Bayesian Model Averaging, PcGets, jel: jel:O16, jel: jel:E44
Financial development, Model uncertainty, Bayesian Model Averaging, PcGets, jel: jel:O16, jel: jel:E44
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 28 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
