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Growth under uncertainty with experimentation

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  • Bertocchi, Graziella
  • Spagat, Michael

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  • Bertocchi, Graziella & Spagat, Michael, 1998. "Growth under uncertainty with experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 23(2), pages 209-231, September.
    • Handle: RePEc:eee:dyncon:v:23:y:1998:i:2:p:209-231
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    1. Sanford J. Grossman & Richard E. Kihlstrom & Leonard J. Mirman, 1977. "A Bayesian Approach to the Production of Information and Learning By Doing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 533-547.
    2. Mirman Leonard J. & Samuelson Larry & Schlee Edward E., 1994. "Strategic Information Manipulation in Duopolies," Journal of Economic Theory, Elsevier, vol. 62(2), pages 363-384, April.
    3. Joseph Zeira, 1994. "Informational Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 31-44.
    4. Michel Demers, 1991. "Investment under Uncertainty, Irreversibility and the Arrival of Information Over Time," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 333-350.
    5. Sulganik, Eyal & Zilcha, Itzhak, 1997. "The value of information: The case of signal-dependent opportunity sets," Journal of Economic Dynamics and Control, Elsevier, vol. 21(10), pages 1615-1625, August.
    6. Zeira, Joseph, 1987. "Investment as a Process of Search," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 204-210, February.
    7. William A. Brock & Leonard J. Mirman, 2001. "Optimal Economic Growth And Uncertainty: The Discounted Case," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 1, pages 3-37, Edward Elgar Publishing.
    8. Freixas, Xavier, 1981. "Optimal growth with experimentation," Journal of Economic Theory, Elsevier, vol. 24(2), pages 296-309, April.
    9. Andrew Caplin & John Leahy, 1993. "Sectoral Shocks, Learning, and Aggregate Fluctuations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(4), pages 777-794.
    10. Bertocchi, Graziella & Spagat, Michael, 1997. "Structural uncertainty and subsidy removal for economies in transition," European Economic Review, Elsevier, vol. 41(9), pages 1709-1733, December.
    11. El-Gamal, Mahmoud A. & Sundaram, Rangarajan K., 1993. "Bayesian economists ... Bayesian agents : An alternative approach to optimal learning," Journal of Economic Dynamics and Control, Elsevier, vol. 17(3), pages 355-383, May.
    12. Manjira Datta & Leonard J. Mirman & Edward E. Schlee, 2002. "Optimal Experimentation in Signal Dependent Decision Problems," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 577-608, May.
    13. Rafael Rob, 1991. "Learning and Capacity Expansion under Demand Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(4), pages 655-675.
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    Citations

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    Cited by:

    1. Isaac Baley & Laura Veldkamp, 2021. "Bayesian learning," Economics Working Papers 1797, Department of Economics and Business, Universitat Pompeu Fabra.
    2. 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.
    3. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Active Learning about Climate Change," Working Paper Series 6513, Department of Economics, University of Sussex Business School.
    4. 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.
    5. Lars J. Olson & Santanu Roy, 2006. "Theory of Stochastic Optimal Economic Growth," Springer Books, in: Rose-Anne Dana & Cuong Le Van & Tapan Mitra & Kazuo Nishimura (ed.), Handbook on Optimal Growth 1, chapter 11, pages 297-335, Springer.
    6. Leonard J. Mirman & Marc Santugini, 2012. "Learning and Technology Progress in Dynamic Games," Cahiers de recherche 1217, CIRPEE.
    7. 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.
    8. 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.
    9. Hilde Patron, 2005. "Temporary Acceleration of Inflation: What Can a Central Bank Learn from It?," Southern Economic Journal, John Wiley & Sons, vol. 71(4), pages 737-751, April.
    10. 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.
    11. Barbosa, António, 2019. "Optimal Learning, Overvaluation and Overinvestment," MPRA Paper 97411, University Library of Munich, Germany.
    12. 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.
    13. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
    14. Johnson, Timothy C., 2007. "Optimal learning and new technology bubbles," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2486-2511, November.
    15. Leonard Mirman & Marc Santugini, 2014. "Learning and Technological Progress in Dynamic Games," Dynamic Games and Applications, Springer, vol. 4(1), pages 58-72, March.
    16. 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.
    17. Kohei Kawaguchi, 2021. "When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business," Management Science, INFORMS, vol. 67(3), pages 1670-1695, March.
    18. Fu, Wentao & Le Riche, Antoine, 2021. "Endogenous growth model with Bayesian learning and technology selection," Mathematical Social Sciences, Elsevier, vol. 114(C), pages 58-71.

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