I sympathize with commentator Peter Klenow, a micro-oriented macroeconomist, who responds:
Beyond accounting, macroanalysis has contributed a slew of robust correlations that help guide microexperimental work. Correlation need not imply causality, of course, but certainly does not rule it out... It is up to theorists and microexperimentalists to flesh out the causal mechanisms behind these correlations.Bill Easterly - editor of the book, and reserving the last word for himself - makes three main points:
- Macroanalysis established the negative effects of extreme policies and outcomes (e.g. land expropriation and hyperinflation in Zinbabwe); it was only in cases of moderate variation where the conclusions broke down completely.
- "Macroeconomists have earned their ignorance the hard way," largely "because the demand for explanations of growth was so intense."
- RCTs "do not really offer a serious alternative to how to achieve 'growth success'", because the small interventions they test in specific situations could never scale up to meaningful increase growth on a macro scale.
No comments:
Post a Comment