Pro-poor growth (PPG) seeks to combine high growth rates with poverty reduc-tion. Due to the absence of established theoretical models on the determinants of PPG,guidance for empirical work on PPG is weak. Bayesian Model Averaging (BMA) isa statistically robust framework that accounts for this model uncertainty. It derives inference based on an average over all possible models instead of choosing a single model. Thereby, the robustness of all estimates is revealed and an endogenous rank-ing of policies is determined. Using data for the 61 Vietnamese provinces our BMAresults provide a robust ranking of PPG policies in Vietnam.