The “Trouble with Macroeconomics,” according to a working paper by Paul Romer that is posted on his website, relates to dishonest identification assumptions, in particular in DSGE models used for policy analysis. Romer singles out calibration, assumptions about distribution functions and strong priors as culprits. Romer argues that [b]eing a Bayesian means that your software never barfs and I agree with the harsh judgment by Lucas and Sargent (1979) that the large Keynesian macro models...
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