1 / 23

Ramon Marimon Universitat Pompeu Fabra & CREi Barcelona, April 1, 2005

Discussion of. “Benefits from U.S. Monetary Policy Experimentation in the Days of Samuelson and Solow and Lucas” Timothy Cogley Riccardo Colacito Thomas J. Sargent. Ramon Marimon Universitat Pompeu Fabra & CREi Barcelona, April 1, 2005. 25+ years later. Sims dixit (p.24):.

seven
Download Presentation

Ramon Marimon Universitat Pompeu Fabra & CREi Barcelona, April 1, 2005

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Discussion of “Benefits from U.S. Monetary Policy Experimentation in the Days of Samuelson and Solow and Lucas”Timothy CogleyRiccardo ColacitoThomas J. Sargent Ramon Marimon Universitat Pompeu Fabra & CREi Barcelona, April 1, 2005

  2. 25+ years later

  3. Sims dixit (p.24): “…if there is uncertainty about the structure of the economy, then even with a fixed policy objective function, widely understood, the form of the dependence of policy on observed history will shift over time as more is learned about (or opinions shift about) the structure of the economy. One could continually re-estimate the structure and, each period, re-announce an explicit relation of policy variables to history.”

  4. Tom Sargent’s work on“The Conquest of the U.S. Inflation” Princeton, 1999 & with Tim Cogley Review of Economic Dynamics (forth.) follows this dictum

  5. e.g., in Cogley and Sargent 3 competing models are ‘continuously reestimated’ and relative weights assigned for a (Bayesian) composite model to ‘explain’ data and Fed choices...

  6. but Sims adds: “However it is simpler to announce the stable objective function once and then each period solve only for this period’s policy variablesvalues instead of computing a complete policy reaction function. This is done bymaking conditional projectionsfrom the best existing reduced form model, and picking the best looking projected future time path.” (WP p.24)

  7. Cogley, Colacito & Sargent (2005) follows this second dictum With two models that ‘fit historical data equally well’ (1948-63):

  8. recognizing what Sims said: “Empirical macro-economists sometimes express frustration at the limited amount of information in economic time series, and it does not infrequently turn out that models reflecting rather different behavioral hypothesis fit the data equally well.” (p.26)

  9. In a world that differs from ‘Conquest’ and others • There is no uncertainty over the specific models, only about  (the weight on SS) • Therefore, models are not updated, only  and the corresponding decision • Private agents and monetary authority share same beliefs • There is no Kydland & Prescott’ time-inconsistency • Expected inflation in estimations: regressing inflation on ‘a constant along with one lag of inflation and unemployment’ (so much for Lucas model!) ...in the ‘Days of Samuelson and Solow and Lucas’ (1963?)

  10. ...in the old ‘Days of Samuelson and Solow and Lucas’

  11. and the ‘old fashioned’, pre VARs OLS, provides clues,

  12. More than the Lucas model being in doubt, the ‘old fashioned’ eclectic-nested model already ‘hints’ that“a little of doubt about the Lucas model is enough to make the central bank acquiesce to Keynesian prescriptions” CC&S ‘show’ this beautifully using Bayesian experimenters and ‘anticipated utility’ policy makers

  13. “a little of doubt...”

  14. but the paper is, mostly, about ‘the value of experimentation’, in a world where... • The CB must ‘learn the true model’ • Bayesian updating converges to the true model, whatever this is • Experimentation is ‘one sided’: either ‘do nothing’ (Lucas) or move along the ‘Phillips curve trade-off’ (Samuelson-Solow) • CB cares a lot about unemployment • CB experimentation does not “enhance the difficulty of [private agents] learning by experience” (M. Friedman, A Program for Monetary Stability, 1960)

  15. as a result, • Experimentation has little value • Particularly if beliefs about SS are high (natural experimentation) • While, if Lucas is right, Keynesian policy makers discover their mistake quickly Did they? Was Lucas wrong? Where they too cautious? SS is right L is right

  16. and the paper is also about ‘misspecification and caution’ • Distrusting the ‘prior over models’ makes a cautious CB give more weight to the ‘do nothing guy’: Lucas meet the T2 map! (CC&S +Hansen)

  17. Distrusting the ‘models specifications’ increases variances and makes a cautious CB give more weight to ‘active policies,’ closer to the SS model meet the T1 map! Alas! Fear + Fear  No Fear

  18. Are they falling into Sims’ criticism? “While it ought to appear unreasonable, this pattern of giving careful attention to minor sources of uncertainty, while ignoring major sources by making dogmatic assumptions, is not uncommon in economics” (‘Pitfalls...’ AER Papers& Proc. 2001) I do not think so, I think it is more that, after having gone through the interesting exercise, one can see that perhaps ‘the Days of Samuelson and Solow and Lucas’ may not be the most interesting models to study ‘Experimentation and Caution in Economics’ And this shows that we have gone a long way...

  19. In 25 Years, THE VAR has had major impact in new generations as in and thousands more But...

  20. as in 25 Years, THE WALL has had major impact in new generations too

  21. end of my discussion!

More Related