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On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine

  • Michele Berardi
  • Jaqueson K. Galimberti

We provide a critical review on the methods previously adopted into the literature of learning and expectations in macroeconomics in order to initialize its underlying learning algorithms either for simulation or empirical purposes. We find that none of these methods is able to pass the sieve of both criteria of coherence to the algorithm long run behavior and of feasibility within the data availability restrictions for macroeconomics. We then propose a smoothing-based initialization routine, and show through simulations that our method meets both those criteria in exchange for a higher computational cost. A simple empirical application is also presented to demonstrate the relevance of initialization for beginning-of-sample inferences.

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File URL: http://www.socialsciences.manchester.ac.uk/medialibrary/cgbcr/discussionpapers/dpcgbcr175.pdf
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Paper provided by Economics, The Univeristy of Manchester in its series Centre for Growth and Business Cycle Research Discussion Paper Series with number 175.

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Length: 35 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:man:cgbcrp:175
Contact details of provider: Postal: Manchester M13 9PL
Phone: (0)161 275 4868
Fax: (0)161 275 4812
Web page: http://www.socialsciences.manchester.ac.uk/subjects/economics/our-research/centre-for-growth-and-business-cycle-research/
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  1. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
  2. Berardi, Michele & Galimberti, Jaqueson K., 2013. "A note on exact correspondences between adaptive learning algorithms and the Kalman filter," Economics Letters, Elsevier, vol. 118(1), pages 139-142.
  3. Athanasios Orphanides & John C. Williams, 2004. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," International Finance Discussion Papers 804, Board of Governors of the Federal Reserve System (U.S.).
  4. Athanasios Orphanides & John C. Williams, 2003. "Inflation scares and forecast-based monetary policy," Finance and Economics Discussion Series 2003-41, Board of Governors of the Federal Reserve System (U.S.).
  5. Carceles-Poveda, Eva & Giannitsarou, Chryssi, 2006. "Adaptive Learning in Practice," CEPR Discussion Papers 5627, C.E.P.R. Discussion Papers.
  6. Carceles-Poveda, Eva & Giannitsarou, Chryssi, 2007. "Asset Pricing with Adaptive Learning," CEPR Discussion Papers 6223, C.E.P.R. Discussion Papers.
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