IDEAS home Printed from https://ideas.repec.org/r/eee/dyncon/v24y2000i4p501-534.html
   My bibliography  Save this item

Learning by doing and the value of optimal experimentation

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Peterson,G.D. & Carpenter,S.R. & Brock,W.A., 2002. "Uncertainty and the management of multi-state ecosystems : an apparently rational route to collapse," Working papers 10, Wisconsin Madison - Social Systems.
  2. Mathur, Sudhanshu & Morozov, Sergei, 2009. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," MPRA Paper 16721, University Library of Munich, Germany.
  3. Cunha-e-Sa, Maria A. & Santos, Vasco, 2008. "Experimentation with accumulation," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 470-496, February.
  4. Rondina, Francesca, 2012. "The role of model uncertainty and learning in the US postwar policy response to oil prices," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 1009-1041.
  5. Eric Bartelsman & Andrea Bassanini & John Haltiwanger & Ron Jarmin & Stefano Scarpetta & Thorsten Schank, 2002. "The Spread of ICT and Productivity Growth: Is Europe Really Lagging Behind in the New Economy?," CEPN Working Papers halshs-00289168, HAL.
  6. Beck, Guenter W. & Wieland, Volker, 2008. "Central bank misperceptions and the role of money in interest-rate rules," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 1-17, October.
  7. Ellison, Martin & Sarno, Lucio & Vilmunen, Jouko, 2004. "Monetary policy and learning in an open economy," Bank of Finland Research Discussion Papers 3/2004, Bank of Finland.
  8. Guidolin, Massimo & Timmermann, Allan, 2007. "Properties of equilibrium asset prices under alternative learning schemes," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 161-217, January.
  9. Kimura, Takeshi & Kurozumi, Takushi, 2007. "Optimal monetary policy in a micro-founded model with parameter uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 399-431, February.
  10. Ravenna, Federico, 2012. "Optimal monetary policy and model selection in a real-time learning environment," Economics Letters, Elsevier, vol. 114(3), pages 322-325.
  11. Lane, P.R., 2002. "Monetary-Fiscal Interactions in an Uncertain World: Lessons for European Policymakers," CEG Working Papers 20027, Trinity College Dublin, Department of Economics.
  12. Volker Wieland, 2009. "Learning, Endogenous Indexation, and Disinflation in the New-Keynesian Model," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 11, pages 413-450, Central Bank of Chile.
  13. Svensson, Lars E.O., 2010. "Inflation Targeting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 22, pages 1237-1302, Elsevier.
  14. Craig A. Bond & John B. Loomis, 2009. "Using Numerical Dynamic Programming to Compare Passive and Active Learning in the Adaptive Management of Nutrients in Shallow Lakes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 555-573, December.
  15. Ellison, Martin, 2006. "The learning cost of interest rate reversals," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1895-1907, November.
  16. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.
  17. Mandler, Martin, 2006. "Are there gains from including monetary aggregates and stock market indices in the monetary policy reaction function? A simulation study of recent U.S. monetary policy," MPRA Paper 2318, University Library of Munich, Germany.
  18. Balvers, Ronald J. & Mitchell, Douglas W., 2007. "Reducing the dimensionality of linear quadratic control problems," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 141-159, January.
  19. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
  20. Parker, Simon C., 2007. "Entrepreneurial learning and the existence of credit markets," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 37-46, January.
  21. Akabayashi, Hideo, 2006. "An equilibrium model of child maltreatment," Journal of Economic Dynamics and Control, Elsevier, vol. 30(6), pages 993-1025, June.
  22. Leonard J. Mirman & Kevin Reffett & Marc Santugini, 2016. "On learning and growth," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 61(4), pages 641-684, April.
  23. Tesfaselassie, M.F. & Schaling, E., 2010. "Managing disinflation under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2568-2577, December.
  24. Sergei Morozov & Sudhanshu Mathur, 2012. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," Computational Economics, Springer;Society for Computational Economics, vol. 40(2), pages 151-182, August.
  25. Lars E.O. Svensson & Noah Williams, 2009. "Optimal Monetary Policy under Uncertainty in DSGE Models: A Markov Jump-Linear-Quadratic Approach," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 3, pages 077-114, Central Bank of Chile.
  26. Berardi, Michele, 2013. "Escape Dynamics And Policy Specification," Macroeconomic Dynamics, Cambridge University Press, vol. 17(1), pages 123-142, January.
  27. Dennis, Richard & Ravenna, Federico, 2008. "Learning and optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1964-1994, June.
  28. Volker Wieland, "undated". "Monetary Policy and Uncertainty about the Natural Unemployment Rate," Computing in Economics and Finance 1997 11, Society for Computational Economics.
  29. David Kendrick & Hans Amman, 2006. "A Classification System for Economic Stochastic Control Models," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 453-481, June.
  30. Tim Willems, 2017. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economic Journal, Royal Economic Society, vol. 127(604), pages 2216-2239, September.
  31. Hauk, Esther & Lanteri, Andrea & Marcet, Albert, 2021. "Optimal policy with general signal extraction," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 54-86.
  32. Bullard, James & Suda, Jacek, 2016. "The stability of macroeconomic systems with Bayesian learners," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 1-16.
  33. Wieland, Volker & Beck, Günter, 2009. "Money in monetary policy design: Monetary cross-checking in the New-Keynesian model," CEPR Discussion Papers 7518, C.E.P.R. Discussion Papers.
  34. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
  35. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
  36. Johnson, Timothy C., 2007. "Optimal learning and new technology bubbles," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2486-2511, November.
  37. Hans Amman & David Kendrick, 2014. "Comparison of policy functions from the optimal learning and adaptive control frameworks," Computational Management Science, Springer, vol. 11(3), pages 221-235, July.
  38. Adong, Annet & Tinker, James & Levine, David & Mbowa, Swaibu & Odokonyero, Tony, 2020. "Encouraging fertilizer adoption through risk free sales offer: A randomized control trial in Uganda," World Development Perspectives, Elsevier, vol. 19(C).
  39. Ellison, Martin & Sarno, Lucio & Vilmunen, Jouko, 2007. "Caution Or Activism? Monetary Policy Strategies In An Open Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 11(4), pages 519-541, September.
  40. Hans M. Amman & Marco P. Tucci, 2020. "How Active is Active Learning: Value Function Method Versus an Approximation Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 675-693, October.
  41. Jiarui Han & Tze Lai & Viktor Spivakovsky, 2006. "Approximate Policy Optimization and Adaptive Control in Regression Models," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 433-452, June.
  42. Svensson, Lars E. O. & Williams, Noah, 2006. "Bayesian and adaptive optimal policy under model uncertainty," CFS Working Paper Series 2007/11, Center for Financial Studies (CFS).
  43. Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
  44. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
  45. Timothy Cogley, 2008. "Commentary on \\"Optimal monetary policy under uncertainty: a Markov jump-linear-quadratic approach\\"," Review, Federal Reserve Bank of St. Louis, vol. 90(Jul), pages 295-300.
  46. Brian P. Sack, 1998. "Does the Fed act gradually? a VAR analysis," Finance and Economics Discussion Series 1998-17, Board of Governors of the Federal Reserve System (U.S.).
  47. Cosimano, Thomas F., 2008. "Optimal experimentation and the perturbation method in the neighborhood of the augmented linear regulator problem," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1857-1894, June.
  48. Koulovatianos, Christos & Mirman, Leonard J. & Santugini, Marc, 2009. "Optimal growth and uncertainty: Learning," Journal of Economic Theory, Elsevier, vol. 144(1), pages 280-295, January.
  49. Bigio, Saki, 2010. "Learning under fear of floating," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1923-1950, October.
  50. Morozov, Sergei & Mathur, Sudhanshu, 2009. "Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control," MPRA Paper 30298, University Library of Munich, Germany, revised 04 Apr 2011.
  51. Federico Ravenna, 2014. "How Central Banks Learn the True Model of the Economy," Cahiers de recherche 1409, CIRPEE.
  52. Ben Martin & Chris Salmon, 1999. "Should uncertain monetary policy-makers do less?," Bank of England working papers 99, Bank of England.
  53. Lars E. O. Svensson & Noah Williams, 2008. "Optimal monetary policy under uncertainty: a Markov jump-linear-quadratic approach," Review, Federal Reserve Bank of St. Louis, vol. 90(Jul), pages 275-294.
  54. Maria Antonieta Cunha-e-Sa & Vasco Santos, 2007. "Experimentation with accumulation," Nova SBE Working Paper Series wp503, Universidade Nova de Lisboa, Nova School of Business and Economics.
  55. Springborn, Michael & Sanchirico, James N., 2013. "A density projection approach for non-trivial information dynamics: Adaptive management of stochastic natural resources," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 609-624.
  56. In-Koo Cho & Noah Williams & Thomas J. Sargent, 2002. "Escaping Nash Inflation," Review of Economic Studies, Oxford University Press, vol. 69(1), pages 1-40.
  57. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
  58. Ellison, Martin & Vilmunen, Jouko, 2005. "A simple approach to identifying the incentives for policy experimentation," Economics Letters, Elsevier, vol. 86(2), pages 167-172, February.
  59. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
  60. Bond, Craig A., 2008. "On the Potential Use of Adaptive Control Methods for Improving Adaptive Natural Resource Management," Working Papers 108721, Colorado State University, Department of Agricultural and Resource Economics.
  61. Ellison, Martin & Valla, Natacha, 2001. "Learning, uncertainty and central bank activism in an economy with strategic interactions," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 153-171, August.
  62. Simon Hall & Chris Salmon & Tony Yates & Nicoletta Batini, 1999. "Uncertainty and Simple Monetary Policy Rules - An illustration for the United Kingdom," Bank of England working papers 96, Bank of England.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.