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NBER Working Paper Series

Выпуск Nw7750 за 2000 год

Опубликовано на портале: 16-11-2004
Gernot Doppelhofer, Xavier Sala-i-Martin, Ronald I. Miller NBER Working Paper Series. 2000.  w7750.
This paper examines the robustness of explanatory variables in cross-country economic growth regressions. It employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates as a weighted average of OLS estimates for every possible combination of included variables. The weights applied to individual regressions are justified on Bayesian grounds in a way similar to the well-known Schwarz criterion. Of 32 explanatory variables we find 11 to be robustly partially correlated with long-term growth and another five variables to be marginally related. Of all the variables considered, the strongest evidence is for the initial level of real GDP per capita.
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