The impact of data revisions on the robustness of growth determinants—a note on ‘determinants of economic growth: Will data tell?’
数据修订如何影响增长决定因素的稳健性：一则回应
SUMMARY Ciccone and Jarociński ( American Economic Journal: Macroeconomics 2010; 2 : 222–246) show that inference in Bayesian model averaging (BMA) can be highly sensitive to small data perturbations. In particular, they demonstrate that the importance attributed to potential growth determinants varies tremendously over different revisions of international income data. They conclude that ‘agnostic’ priors appear too sensitive for this strand of growth empirics. In response,…