Estimation of Constant Gain Learning Models
This paper provides a concise primer on the estimation of constant gain learning models. One practical concern in the estimation procedure is the initialization of the learning parameters. The popular approach in the literature relies on a training sample to estimate these quantities. We also consider the alternative, that of estimating these alongside the other model parameters. As we show with the aid of both simulated data and real data examples, the estimates are comparable using either approach.
|Date of creation:||12 Aug 2012|
|Date of revision:||01 Apr 2014|
|Contact details of provider:|| Postal: Ursinus College 601 East Main St. Collegeville, PA 19426|
Web page: http://webpages.ursinus.edu/ecba/
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- Slobodyan, Sergey & Wouters, Raf, 2012.
"Learning in an estimated medium-scale DSGE model,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 36(1), pages 26-46.
- Sergey Slobodyan & Raf Wouters, 2009. "Learning in an Estimated Medium-Scale DSGE Model," CERGE-EI Working Papers wp396, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Chevillon, Guillaume & Massmann, Michael & Mavroeidis, Sophocles, 2010. "Inference in models with adaptive learning," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 341-351, April.
- Bruce Preston, 2005. "Learning about Monetary Policy Rules when Long-Horizon Expectations Matter," International Journal of Central Banking, International Journal of Central Banking, vol. 1(2), September.
- Bruce Preston, 2003. "Learning about monetary policy rules when long-horizon expectations matter," FRB Atlanta Working Paper 2003-18, Federal Reserve Bank of Atlanta.
- Preston, Bruce, 2005. "Learning about Monetary Policy Rules when Long-Horizon Expectations Matter," MPRA Paper 830, University Library of Munich, Germany.
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