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Following most of the empirical literature on the economic effects of corruption, the paper uses cross-country regressions.
The main finding from this exercise is that transition dynamics are able to explain the cross-country income level dispersion as well as steady-state regressions do.
For the non-oil cross-country sample, we follow the perpetual inventory approach.
Notwithstanding the book's limitations, the editors deserve credit for having gathered together a great deal of standardized, cross-country information in one place.
This paper enriches this literature by showing that there are gains to be made by combining cross-country information with time varying coefficients.
To control for simultaneity bias in cross-country growth regressions, instruments are required for any variables suspected to have an endogenous component.
The results suggest there is a very large cross-country distributional issue associated with climate change impacts.
The statistics show some cross-country variations, but the magnitude of the differences is small.
Finally, we evaluated whether cross-country information helps to forecast domestic inflation.
Some respondents may consult other cross-country rankings in order to provide a seemingly better informed response.
As a result, cross-country variation in within-sector risk sharing may be limited.
We show that having only time variations or cross-country information does not produce either systematic or robust gains.
The impacts of institutional and policy variables can be revealed by cross-country analysis, which provides for wide variation of institutions.
Until recently, studies of the empirical relationship between growth and inequality are mostly based on cross-country regression analysis.
This makes cross-country comparisons about the efficiency of national (or regional) pollution strategies difficult.