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Adaptive Learning in Practice

Citations

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Cited by:

  1. Christina Strobach & Carin van der Cruijsen, 2015. "The formation of European inflation expectations: One learning rule does not fit all," DNB Working Papers 472, Netherlands Central Bank, Research Department.
  2. 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.
  3. Christian Matthes & Francesca Rondina, 2012. "Two-sided Learning in New Keynesian Models: Dynamics, (Lack of) Convergence and the Value of Information," UFAE and IAE Working Papers 913.12, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  4. KevinX.D. Huang & Zheng Liu & Tao Zha, 2009. "Learning, Adaptive Expectations and Technology Shocks," Economic Journal, Royal Economic Society, vol. 119(536), pages 377-405, March.
  5. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
  6. Jaqueson K. Galimberti, 2020. "Information weighting under least squares learning," CAMA Working Papers 2020-46, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  7. Nakov, Anton & Nuño, Galo, 2015. "Learning from experience in the stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 224-239.
  8. Luis‐Gonzalo Llosa & Vicente Tuesta, 2008. "Determinacy and Learnability of Monetary Policy Rules in Small Open Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 1033-1063, August.
  9. Gomes, Orlando, 2009. "Stability under learning: The endogenous growth problem," Economic Modelling, Elsevier, vol. 26(5), pages 807-816, September.
  10. Li, Jinfang, 2022. "The sentiment pricing dynamics with short-term and long-term learning," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
  11. Iliopulos, Eleni & Perego, Erica & Sopraseuth, Thepthida, 2021. "International business cycles: Information matters," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 19-34.
  12. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
  13. Kim, Young Se, 2009. "Exchange rates and fundamentals under adaptive learning," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 843-863, April.
  14. Eva Carceles-Poveda & Chryssi Giannitsarou, 2008. "Asset Pricing with Adaptive Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 629-651, July.
  15. Orlando Gomes, 2009. "Stability under learning: the neo-classical growth problem," Economics Bulletin, AccessEcon, vol. 29(4), pages 3186-3193.
  16. Murray, James, 2011. "Learning and judgment shocks in U.S. business cycles," MPRA Paper 29257, University Library of Munich, Germany.
  17. Holtemöller, Oliver & Schult, Christoph, 2018. "Expectation formation, financial frictions, and forecasting performance of dynamic stochastic general equilibrium models," IWH Discussion Papers 15/2018, Halle Institute for Economic Research (IWH).
  18. Berardi, Michele & Galimberti, Jaqueson K., 2019. "Smoothing-Based Initialization For Learning-To-Forecast Algorithms," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1008-1023, April.
  19. Tim Taylor & Richard Harrison, 2008. "Misperceptions, heterogeneous expectations and macroeconomic dynamics," 2008 Meeting Papers 710, Society for Economic Dynamics.
  20. Schaefer, Daniel & Singleton, Carl, 2018. "Unemployment and econometric learning," Research in Economics, Elsevier, vol. 72(2), pages 277-296.
  21. Kobielarz, Michal, 2018. "The economics of monetary unions," Other publications TiSEM b0293536-68ec-4905-bffd-6, Tilburg University, School of Economics and Management.
  22. 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.
  23. Angelopoulos, Konstantinos & Fernandez, Bernardo X. & Malley, James R., 2010. "The Distributional Consequences of Supply-Side Reforms in General Equilibrium," SIRE Discussion Papers 2010-85, Scottish Institute for Research in Economics (SIRE).
  24. Liam Graham, 2011. "Individual rationality, model-consistent expectations and learning," CDMA Working Paper Series 201112, Centre for Dynamic Macroeconomic Analysis.
  25. Ricardo Mestre & Peter McAdam, 2011. "Is forecasting with large models informative? Assessing the role of judgement in macroeconomic forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(3), pages 303-324, April.
  26. Elias, Christopher J., 2022. "Adaptive learning with heterogeneous expectations in an estimated medium-scale New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 71(C).
  27. Fanelli, Luca, 2008. "Evaluating New Keynesian Phillips Curve under VAR-Based Learning," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-24.
  28. Raf Wouters & Sergey Slobodyan, 2009. "Estimating a medium–scale DSGE model with expectations based on small forecasting models," 2009 Meeting Papers 654, Society for Economic Dynamics.
  29. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
  30. Elias, Christopher J., 2016. "Asset pricing with expectation shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 68-82.
  31. Eva Carceles-Poveda & Chryssi Giannitsarou, 2008. "Asset Pricing with Adaptive Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 629-651, July.
  32. Berardi, Michele & Galimberti, Jaqueson K., 2014. "A note on the representative adaptive learning algorithm," Economics Letters, Elsevier, vol. 124(1), pages 104-107.
  33. Arturo Ormeño, 2011. "Using Survey Data on Inflation Expectations in the Estimation of Learning and Rational Expectations Models," CESifo Working Paper Series 3552, CESifo.
  34. Pavol Povala & Anna Cieslak, 2012. "Understanding bond risk premia," 2012 Meeting Papers 771, Society for Economic Dynamics.
  35. 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.
  36. Markiewicz, Agnieszka & Pick, Andreas, 2014. "Adaptive learning and survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 685-707.
  37. Ormeño, Arturo, 2012. "Using Survey Data on Inflation Expectations in the Estimation of Learning and Rational Expectations Models," Working Papers 2012-007, Banco Central de Reserva del Perú.
  38. James Murray, 2008. "Empirical Significance of Learning in a New Keynesian Model with Firm-Specific Capital," CAEPR Working Papers 2007-027, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  39. Sinha, Arunima, 2015. "Government debt, learning and the term structure," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 268-289.
  40. Pfajfar, D. & Zakelj, B., 2011. "Inflation Expectations and Monetary Policy Design : Evidence from the Laboratory (Replaces CentER DP 2009-007)," Discussion Paper 2011-091, Tilburg University, Center for Economic Research.
  41. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.
  42. Pfajfar, D. & Santoro, E., 2008. "Asymmetries in Inflation Expectation Formation Across Demographic Groups," Cambridge Working Papers in Economics 0824, Faculty of Economics, University of Cambridge.
  43. McKibbin, Warwick J. & Tan, Kang Yong, 2009. "Learning and international transmission of shocks," Economic Modelling, Elsevier, vol. 26(5), pages 1033-1052, September.
  44. Jess Benhabib & Chetan Dave, 2014. "Learning, Large Deviations and Rare Events," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 367-382, July.
  45. Emiliano Santoro & Damjan Pfajfar, 2006. "Heterogeneity and learning in inflation expectation formation: an empirical assessment," Department of Economics Working Papers 0607, Department of Economics, University of Trento, Italia.
  46. Liam Graham, 2011. "Learning, information and heterogeneity," CDMA Working Paper Series 201113, Centre for Dynamic Macroeconomic Analysis.
  47. Bovi, Maurizio, 2013. "Are the representative agent’s beliefs based on efficient econometric models?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 633-648.
  48. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
  49. Damjan Pfajfar & Emiliano Santoro, 2007. "Heterogeneity, Asymmetries and Learning in InfIation Expectation Formation: An Empirical Assessment," Money Macro and Finance (MMF) Research Group Conference 2006 123, Money Macro and Finance Research Group.
  50. Pablo Aguilar & Luca Pensieroso, 2022. "Learning the Hard Way: Expectations and the U.S. Great Depression," LIDAM Discussion Papers IRES 2022004, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  51. Elias, Christopher J., 2016. "A heterogeneous agent exchange rate model with speculators and non-speculators," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 203-223.
  52. Fabio Milani, 2009. "The Effect of Global Output on U.S. Inflation and Inflation Expectations: A Structural Estimation," Working Papers 080920, University of California-Irvine, Department of Economics.
  53. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine," Centre for Growth and Business Cycle Research Discussion Paper Series 175, Economics, The University of Manchester.
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