Name File Type Size Last Modified
BACE_appendix.pdf application/pdf 80.2 KB 12/06/2019 10:19:AM
BACE_data.xls application/vnd.ms-excel 145 KB 12/06/2019 10:19:AM
BACE_variables.txt text/plain 2.6 KB 12/06/2019 10:19:AM
BACEdata.txt text/plain 48.7 KB 12/06/2019 10:19:AM
LICENSE.txt text/plain 14.6 KB 12/06/2019 10:19:AM
README_BACE.txt text/plain 937 bytes 12/06/2019 10:19:AM
var13_16.pdf application/pdf 83.9 KB 12/06/2019 10:19:AM
var17_20.pdf application/pdf 92.3 KB 12/06/2019 10:19:AM
var1_4.pdf application/pdf 86.8 KB 12/06/2019 10:19:AM
var21_24.pdf application/pdf 88.5 KB 12/06/2019 10:19:AM

Project Citation: 

Sala-I-Martin, Xavier, Doppelhofer, Gernot, and Miller, Ronald I. Replication data for: Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach. Nashville, TN: American Economic Association [publisher], 2004. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-06. https://doi.org/10.3886/E116024V1

Project Description

Summary:  View help for Summary This paper examines the robustness of explanatory variables in cross-country economic growth regressions. It introduces and employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates by averaging OLS coefficients across models. The weights given to individual regressions have a Bayesian justification similar to the Schwarz model selection criterion. Of 67 explanatory variables we find 18 to be significantly and robustly partially correlated with long-term growth and another three variables to be marginally related. The strongest evidence is for the relative price of investment, primary school enrollment, and the initial level of real GDP per capita.

Scope of Project

JEL Classification:  View help for JEL Classification
      C51 Model Construction and Estimation
      C52 Model Evaluation, Validation, and Selection
      O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence


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