Bayesian Model Averaging (BMA) has emerged as a robust framework for addressing model uncertainty in empirical growth research. Rather than selecting a single ‘best’ specification, BMA combines the ...
This paper extends the Bayesian Model Averaging framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited ...
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