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Citations for "Optimal Control of an Unknown Linear Process with Learning"

by Kiefer, Nicholas M & Nyarko, Yaw

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  1. Tesfaselassie, Mewael F., 2008. "Central bank learning and monetary policy," Kiel Working Papers 1444, Kiel Institute for the World Economy (IfW).
  2. Ellison, Martin & Sarno, Lucio & Vilmunen, Jouko, 2004. "Monetary policy and learning in an open economy," Research Discussion Papers 3/2004, Bank of Finland.
  3. M.F. Tesfaselassie & E. Schaling, 2010. "Managing disinflation under uncertainty," Post-Print hal-00743847, HAL.
  4. Mewael Tesfaselassie & Eric Schaling & Sylvester Eijffinger, 2004. "Heterogeneous Information about the Term Structure of Interest Rates, Least-Squares Learning and Optimal Interest Rate Rules for Inflation Forecast Targeting," Econometric Society 2004 North American Summer Meetings 78, Econometric Society.
  5. repec:kie:kieliw:1444 is not listed on IDEAS
  6. Mariusz Gorajski, 2016. "Robust monetary policy in a linear model of the polish economy: is the uncertainty in the model responsible for the interest rate smoothing effect?," Lodz Economics Working Papers 1/2016, University of Lodz, Faculty of Economics and Sociology.
  7. 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.
  8. Kasa, Kenneth, 1999. "Will the Fed Ever Learn?," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 279-292, April.
  9. Alexandre X. Carvalho & Martin L. Puterman, 2015. "Dynamic Optimization and Learning: How Should a Manager Set Prices When the Demand Function is Unknown?," Discussion Papers 0158, Instituto de Pesquisa Econômica Aplicada - IPEA.
  10. 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.
  11. James B. Bullard & Jacek Suda, 2008. "The stability of macroeconomic systems with Bayesian learners," Working Papers 2008-043, Federal Reserve Bank of St. Louis.
  12. Martin Ellison & Lucio Sarno & Jouko Vilmunen, 2007. "Caution or Activism? Monetary Policy Strategies in an Open Economy," Money Macro and Finance (MMF) Research Group Conference 2006 18, Money Macro and Finance Research Group.
  13. Schaling, Eric & Eijffinger, Sylvester & Tesfaselassie, Mewael, 2004. "Heterogenous information about the term structure, least-squares learning and optimal rules for inflation targeting," Research Discussion Papers 23/2004, Bank of Finland.
  14. Nagel, Rosemarie & Nicolaas J. Vriend, 1997. "An Experimental Study of Adaptive Behavior in an Oligopolistic Market Game," Discussion Paper Serie B 408, University of Bonn, Germany.
  15. Spagat, M., 1995. "Leaving some stones unturned: A reassessment of iterative planning theory," Journal of Public Economics, Elsevier, vol. 58(1), pages 85-105, September.
  16. Eric Schaling, 2004. "Learning, inflation expectations and optimal monetary policy," Macroeconomics 0404035, EconWPA.
  17. Christos Koulovatianos, & Leonard J. Mirman & Marc Santugini, "undated". "Optimal Growth and Uncertainty: Learning," Discussion Papers 08/08, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
  18. 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.
  19. Eijffinger, Sylvester C W & Schaling, Eric & Tesfaselassie, Mewael F., 2006. "Learning About the Term Structure and Optimal Rules for Inflation Targeting," CEPR Discussion Papers 5896, C.E.P.R. Discussion Papers.
  20. 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.
  21. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
  22. 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.
  23. Holden, Tom, 2008. "Rational macroeconomic learning in linear expectational models," MPRA Paper 10872, University Library of Munich, Germany.
  24. 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.
  25. Eijffinger, Sylvester C W & Schaling, Eric & Tesfaselassie, Mewael F., 2004. "Heterogenous Information About the Term Structure of Interest Rates, Least-Squares Learning and Optimal Interest Rate Rules," CEPR Discussion Papers 4279, C.E.P.R. Discussion Papers.
  26. repec:use:tkiwps:2020 is not listed on IDEAS
  27. 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.
  28. Alexandre X. Carvalho & Martin L. Puterman, 2005. "Dynamic Optimization and Learning: How Should a Manager set Prices when the Demand Function is Unknown ?," Discussion Papers 1117, Instituto de Pesquisa Econômica Aplicada - IPEA.
  29. Leonard J. Mirman & Marc Santugini, 2012. "Learning and Technology Progress in Dynamic Games," Cahiers de recherche 1217, CIRPEE.
  30. Sa, Maria Antonieta Cunha e & Santos, Vasco, 2007. "Experimentation with Accumulation," FEUNL Working Paper Series wp503, Universidade Nova de Lisboa, Faculdade de Economia.
  31. Schinkel, Maarten Pieter & Tuinstra, Jan & Vermeulen, Dries, 2002. "Convergence of Bayesian learning to general equilibrium in mis-specified models," Journal of Mathematical Economics, Elsevier, vol. 38(4), pages 483-508, December.
  32. Koray, Semih & Saglam, Ismail, 2005. "Learning in Bayesian Regulation," MPRA Paper 1899, University Library of Munich, Germany.
  33. Volker W. Wieland, 1996. "Learning by doing and the value of optimal experimentation," Finance and Economics Discussion Series 96-5, Board of Governors of the Federal Reserve System (U.S.).
  34. Dan Protopopescu, 2007. "Improving the Risk Concept: A Revision of Arrow-Pratt Theory in the Context of Controlled Dynamic Stochastic Environments," UFAE and IAE Working Papers 727.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 03 Dec 2009.
  35. H.M. Amman & D.A. Kendrick, 2012. "Conjectures on the policy function in the presence of optimal experimentation," Working Papers 12-09, Utrecht School of Economics.
  36. Tim Willems, 2013. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economics Series Working Papers 687, University of Oxford, Department of Economics.
  37. Fudenberg, Drew & Romanyuk, Gleb & Strack, Philipp, 0. "Active learning with a misspecified prior," Theoretical Economics, Econometric Society.
  38. Nyarko, Yaw & Olson, Lars J., 1991. "Optimal Growth with Unobservable Resources and Learning," Working Papers 91-01, C.V. Starr Center for Applied Economics, New York University.
  39. Protopopescu Dan, 2008. "Improving the Effort Concept: A Revision of the Traditional Approach in the Context of Controlled Dynamic Stochastic Environments," UFAE and IAE Working Papers 739.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 03 Dec 2009.
  40. Chade, Hector & Schlee, Edward, 2002. "Another Look at the Radner-Stiglitz Nonconcavity in the Value of Information," Journal of Economic Theory, Elsevier, vol. 107(2), pages 421-452, December.
  41. 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.
  42. Hector Chade & Edward E. Schlee, 2000. "Increasing Returns in the Value of Information," Econometric Society World Congress 2000 Contributed Papers 1715, Econometric Society.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.