Replication data for: Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach
Principal Investigator(s): View help for Principal Investigator(s) Xavier Sala-I-Martin; Gernot Doppelhofer; Ronald I. Miller
Version: View help for Version V1
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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:
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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:
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C51 Model Construction and Estimation
C52 Model Evaluation, Validation, and Selection
O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
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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