Unemployment and econometric learning. Issue 2 (June 2018)
- Record Type:
- Journal Article
- Title:
- Unemployment and econometric learning. Issue 2 (June 2018)
- Main Title:
- Unemployment and econometric learning
- Authors:
- Schaefer, Daniel
Singleton, Carl - Abstract:
- Highlights: We relax rational expectations in the textbook model of a frictional labour market. "Good econometrician" agents can learn the rational expectations equilibrium. Simulations of the model show that learning and convergence is slow. Learning is not a workable solution to the 'unemployment volatility puzzle'. Abstract: We apply well-known results of the econometric learning literature to the Mortensen and Pissarides real business cycle model. Agents can always learn the unique rational expectations equilibrium (REE), for all possible well-defined sets of parameter values, by using the minimum-state-variable solution to the model and decreasing gain learning. From this perspective the assumption of rational expectations in the model could be seen as reasonable. But using a parametrisation with UK data, simulations show that the speed of convergence to the REE is slow. This type of learning dampens the cyclical response of unemployment to small structural shocks.
- Is Part Of:
- Research in economics. Volume 72:Issue 2(2018)
- Journal:
- Research in economics
- Issue:
- Volume 72:Issue 2(2018)
- Issue Display:
- Volume 72, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 72
- Issue:
- 2
- Issue Sort Value:
- 2018-0072-0002-0000
- Page Start:
- 277
- Page End:
- 296
- Publication Date:
- 2018-06
- Subjects:
- Real business cycle -- Unemployment -- Adaptive learning -- Expectational stability
E24 -- E32 -- J64
Economics -- Periodicals
Économie politique -- Périodiques
330.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10909443 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/research-in-economics/ ↗ - DOI:
- 10.1016/j.rie.2017.10.005 ↗
- Languages:
- English
- ISSNs:
- 1090-9443
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7738.925000
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British Library HMNTS - ELD Digital store - Ingest File:
- 6633.xml