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The Multi-Period Control Problem Under Uncertainty

Citations

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Cited by:

  1. Peter John Robinson & W. J. Wouter Botzen & Fujin Zhou, 2021. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 275-318, December.
  2. Richard S. J. Tol & In Chang Hwang & Frédéric Reynès, 2012. "The Effect of Learning on Climate Policy under Fat-tailed Uncertainty," Working Paper Series 5312, Department of Economics, University of Sussex Business School.
  3. Malacarne, Jonathan G., 2018. "The Farmer and The Fates: Perceptions of Self-efficacy, Learning and Investment in a Stochastic Production Process," 2018 Annual Meeting, August 5-7, Washington, D.C. 274222, Agricultural and Applied Economics Association.
  4. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
  5. Martin Peitz & Sven Rady & Piers Trepper, 2017. "Experimentation in Two-Sided Markets," Journal of the European Economic Association, European Economic Association, vol. 15(1), pages 128-172.
  6. Liverpool-Tasie, Lenis Saweda O. & Winter-Nelson, Alex, 2009. "Poverty status and the impact of social networks on smallholder technology adoption in rural Ethiopia," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49357, Agricultural and Applied Economics Association.
  7. Mr. Ben Lockwood & Mr. Eric Le Borgne, 2003. "Do Elections Always Motivate Incumbents? Experimentation vs. Career Concerns," IMF Working Papers 2003/057, International Monetary Fund.
  8. Kolajo, Ebenezer F. & Martin, Neil R., Jr., 1987. "Farm Firm Decisions Modeling: A Methodological Evaluation Of Alternative Farm Growth Modeling Approaches," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 269948, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  9. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
  10. Spagat, Michael & Rosal, Joao Mauricio, 2002. "Structural Uncertainty and Central Bank Conservatism: The Ignorant Should Keep Their Eyes Shut," CEPR Discussion Papers 3568, C.E.P.R. Discussion Papers.
  11. Holden, Tom, 2008. "Rational macroeconomic learning in linear expectational models," MPRA Paper 10872, University Library of Munich, Germany.
  12. 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.
  13. Hinchy, Mike & Simmons, Phil, 1983. "An Optimal-Control Approach To Stabilising Australian Wool Prices," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 27(1), pages 1-29, April.
  14. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
  15. Millner, Antony & Ollivier, Hélène & Simon, Leo, 2014. "Policy experimentation, political competition, and heterogeneous beliefs," Journal of Public Economics, Elsevier, vol. 120(C), pages 84-96.
  16. Hauk, Esther & Lanteri, Andrea & Marcet, Albert, 2021. "Optimal policy with general signal extraction," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 54-86.
  17. 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.
  18. Tesfaselassie, M.F., 2005. "Communication, learning and optimal monetary policy," Other publications TiSEM 33c69063-eed7-4938-9f51-e, Tilburg University, School of Economics and Management.
  19. 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.
  20. 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.
  21. Dirk Bergemann & Juuso Valimaki, 1999. "Entry and Innovation in Vertically Differentiated Markets," Discussion Papers 1260, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  22. 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.
  23. Lars E. O. Svensson, 1999. "Inflation Targeting: Some Extensions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(3), pages 337-361, September.
  24. Matthew F. Mitchell, 2000. "The scale of production in technological revolutions," Staff Report 269, Federal Reserve Bank of Minneapolis.
  25. 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.
  26. 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.
  27. David Kendrick, 1976. "Applications of Control Theory to Macroeconomics," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 2, pages 171-190, National Bureau of Economic Research, Inc.
  28. Michael T. Rauh & Giulio Seccia, 2006. "Anxiety And Performance: An Endogenous Learning-By-Doing Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 583-609, May.
  29. Rauh, Michael T. & Seccia, Giulio, 2005. "Experimentation, full revelation, and the monotone likelihood ratio property," Journal of Economic Behavior & Organization, Elsevier, vol. 56(2), pages 239-262, February.
  30. Hansen, Lars Peter & Sargent, Thomas J., 2015. "Four types of ignorance," Journal of Monetary Economics, Elsevier, vol. 69(C), pages 97-113.
  31. Preston J. Miller & Arthur J. Rolnick, 1979. "The CBO's policy analysis: an unquestionable misuse of a questionable theory," Staff Report 49, Federal Reserve Bank of Minneapolis.
  32. van Wijnbergen, Sweder & Willems, Tim, 2015. "Optimal learning on climate change: Why climate skeptics should reduce emissions," Journal of Environmental Economics and Management, Elsevier, vol. 70(C), pages 17-33.
  33. Wieland, Volker, 2000. "Learning by doing and the value of optimal experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April.
  34. Chen Yeh & David Argente, 2016. "A Menu Cost Model with Price Experimentation," 2016 Meeting Papers 1515, Society for Economic Dynamics.
  35. Bergemann, Dirk & Valimaki, Juuso, 2002. "Entry and Vertical Differentiation," Journal of Economic Theory, Elsevier, vol. 106(1), pages 91-125, September.
  36. Saleem Bahaj & Angus Foulis, 2017. "Macroprodential Policy under Uncertainty," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 119-154, September.
  37. Volker Wieland, "undated". "Monetary Policy and Uncertainty about the Natural Unemployment Rate," Computing in Economics and Finance 1997 11, Society for Computational Economics.
  38. Otto H. Swank, 2006. "The Self-Perception Theory vs. a Dynamic Learning Model," Tinbergen Institute Discussion Papers 06-092/1, Tinbergen Institute.
  39. 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.
  40. le Borgne, E. & Lockwood, B., 2000. "Do Elections Always Motivate Incumbents?," The Warwick Economics Research Paper Series (TWERPS) 580, University of Warwick, Department of Economics.
  41. Bernardo, Antonio & Chowdhry, Bhagwan, 1998. "Resources, real options, and corporate strategy," University of California at Los Angeles, Anderson Graduate School of Management qt2m96n2gw, Anderson Graduate School of Management, UCLA.
  42. Timothy Cogley & Riccardo Colacito & Thomas J. Sargent, 2007. "Benefits from U.S. Monetary Policy Experimentation in the Days of Samuelson and Solow and Lucas," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 67-99, February.
  43. 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.
  44. Bernardo, Antonio E. & Chowdhry, Bhagwan, 2002. "Resources, real options, and corporate strategy," Journal of Financial Economics, Elsevier, vol. 63(2), pages 211-234, February.
  45. H. M. Amman & D. A. Kendrick, 2000. "Stochastic Policy Design in a Learning Environment with Rational Expectations," Journal of Optimization Theory and Applications, Springer, vol. 105(3), pages 509-520, June.
  46. repec:use:tkiwps:2020 is not listed on IDEAS
  47. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
  48. 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.
  49. 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.
  50. Leonard J. Mirman & Thomas D. Jeitschko, 2002. "Information and experimentation in short-term contracting," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 19(2), pages 311-331.
  51. 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.
  52. Amman, Hans M. & Kendrick, David A. & Tucci, Marco P., 2020. "Approximating The Value Function For Optimal Experimentation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1073-1086, July.
  53. Silvio Rendón, 2002. "Informational matching," Economics Working Papers 619, Department of Economics and Business, Universitat Pompeu Fabra.
  54. Leonard J. Mirman & Marc Santugini, 2012. "Learning and Technology Progress in Dynamic Games," Cahiers de recherche 1217, CIRPEE.
  55. Fishman, Arthur & Rob, Rafael, 1998. "Experimentation and Competition," Journal of Economic Theory, Elsevier, vol. 78(2), pages 299-320, February.
  56. Mariusz Górajski, 2018. "Robust Monetary Policy in a Model of the Polish Economy: Is the Uncertainty Responsible for the Interest Rate Smoothing Effect?," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 313-340, August.
  57. Ronald Davis & Dallas Denery & David Kendrick & Raman Mehra, 2012. "Introduction to the Works of Rodney C. Wingrove: Engineering Approaches to Macroeconomic Modeling," Computational Economics, Springer;Society for Computational Economics, vol. 39(1), pages 71-76, January.
  58. Christos Koulovatianos & Leonard J. Mirman & Marc Santugini, 2006. "Investment in a Monopoly with Bayesian Learning," Vienna Economics Papers vie0603, University of Vienna, Department of Economics.
  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. 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.
  61. 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.
  62. Yoo, Do-il, 2012. "Individual and Social Learning in Bio-technology Adoption: The Case of GM Corn in the U.S," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124975, Agricultural and Applied Economics Association.
  63. John W. Freebairn & Gordon C. Rausser, 1974. "An Adaptive Control Approach To Agricultural Policy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 18(3), pages 208-220, December.
  64. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
  65. Christos Koulovatianos & Leonard J. Mirman & Marc Santugini, 2006. "Investment in a Monopoly with Bayesian Learning," Vienna Economics Papers 0603, University of Vienna, Department of Economics.
  66. 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.
  67. Kasa, Kenneth, 1999. "An observational equivalence among -control policies," Economics Letters, Elsevier, vol. 64(2), pages 173-180, August.
  68. 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.
  69. Kasa, Kenneth, 1999. "Will the Fed Ever Learn?," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 279-292, April.
  70. Graham-Tomasi, Theodore, 1985. "Uncertainty, Information, And Irreversible Investments," Staff Papers 14047, University of Minnesota, Department of Applied Economics.
  71. Benjamin M. Friedman, 1976. "A Note on Uncertainties in Control Applications," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 2, pages 223-224, National Bureau of Economic Research, Inc.
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