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Citations for "Rules of Thumb versus Dynamic Programming"

by Harald Uhlig & Martin Lettau

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  1. Doraszelski, Ulrich & Pakes, Ariel, 2007. "A Framework for Applied Dynamic Analysis in IO," Handbook of Industrial Organization, Elsevier.
  2. Ellison, Martin & Scott, Andrew, 2009. "Learning and Price Volatility in Duopoly Models of Resource Depletion," CEPR Discussion Papers 7378, C.E.P.R. Discussion Papers.
  3. Axel Borsch-Supan & Lothar Essig, 2003. "Household Saving in Germany: Results of the first SAVE study," NBER Working Papers 9902, National Bureau of Economic Research, Inc.
  4. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
  5. Brandt, M.W.Michael W. & Zeng, Qi & Zhang, Lu, 2004. "Equilibrium stock return dynamics under alternative rules of learning about hidden states," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1925-1954, September.
  6. Jasmina ARIFOVIC & Murat YILDIZOGLU, 2014. "Learning the Ramsey outcome in a Kydland & Prescott economy," Cahiers du GREThA 2014-06, Groupe de Recherche en Economie Théorique et Appliquée.
  7. Rodepeter, Ralf & Winter, Joachim, 1999. "Rules of thumb in life-cycle savings models," Sonderforschungsbereich 504 Publications 99-81, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  8. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
  9. Juan D. Montoro-Pons, 2000. "Collective Action, Free Riding And Evolution," Computing in Economics and Finance 2000 279, Society for Computational Economics.
  10. Houser, Daniel & Winter, Joachim, 2004. "How Do Behavioral Assumptions Affect Structural Inference? Evidence from a Laboratory Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 64-79, January.
  11. Sergey Slobodyan & Andreas Ortmann, 2004. "(The Evolution of) Post-Secondary Education: A Computational Model and Experiments," Computing in Economics and Finance 2004 318, Society for Computational Economics.
  12. John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA.
  13. Juan Montoro-Pons & Francisco Garcia-Sobrecases, 2003. "A Computational Approach to the Collective Action Problem: Assessment of Alternative Learning Rules," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 137-151, February.
  14. Ömer Özak, 2013. "Optimal consumption under uncertainty, liquidity constraints, and bounded rationality," Departmental Working Papers 1307, Southern Methodist University, Department of Economics.
  15. Daniel Aaronson & Sumit Agarwal & Eric French, 2008. "The consumption response to minimum wage increases," Working Paper Series WP-07-23, Federal Reserve Bank of Chicago.
  16. Houser, Daniel & Winter, Joachim, 2001. "Time preference and decision rules in a price search experiment," Papers 01-34, Sonderforschungsbreich 504.
  17. Binswanger, Johannes, 2012. "Life cycle saving: Insights from the perspective of bounded rationality," European Economic Review, Elsevier, vol. 56(3), pages 605-623.
  18. Juan González-Hernández & Raquiel López-Martínez & J. Pérez-Hernández, 2007. "Markov control processes with randomized discounted cost," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 65(1), pages 27-44, February.
  19. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233 Elsevier.
  20. Francesco Busato & Bruno Chiarini, 2002. "Consumption And Income Smoothing," Working Papers 2_2002, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
  21. Jim Malley & Apostolis Philippopoulos, 2000. "Economic Growth and Endogenous Fiscal Policy: In Search of a Data Consistent General Equilibrium Model," CESifo Working Paper Series 235, CESifo Group Munich.
  22. Martin Shubik & Nicolaas J. Vriend, 1999. "A Behavioral Approach to a Strategic Market Game," Research in Economics 99-01-003e, Santa Fe Institute.
  23. Schunk, Daniel, 2005. "Search behaviour with reference point preferences : theory and experimental evidence," Papers 05-12, Sonderforschungsbreich 504.
  24. Peter Howitt & Ömer Özak, 2009. "Adaptive Consumption Behavior," NBER Working Papers 15427, National Bureau of Economic Research, Inc.
  25. Jim Malley & Hassan Molana, 2003. "The Life-Cycle-Permanent- Income Hypothesis: A Reinterpretation and Supporting Evidence," Dundee Discussion Papers in Economics 138, Economic Studies, University of Dundee.
  26. D'Orlando, Fabio & Sanfilippo, Eleonora, 2010. "Behavioral foundations for the Keynesian consumption function," Journal of Economic Psychology, Elsevier, vol. 31(6), pages 1035-1046, December.
  27. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
  28. Jim Malley & Hassan Molana, 2002. "The Life-Cycle-Permanent-Income Model: A Reinterpretation and Supporting Evidence," Working Papers 2002_17, Business School - Economics, University of Glasgow.
  29. Malley, Jim & Philippopoulos, Apostolis & Economides, George, 2002. "Testing for tax smoothing in a general equilibrium model of growth," European Journal of Political Economy, Elsevier, vol. 18(2), pages 301-315, June.
  30. Athreya, Kartik B., 2014. "Big Ideas in Macroeconomics: A Nontechnical View," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262019736, September.
  31. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
  32. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, 05.
  33. repec:spr:compst:v:65:y:2007:i:1:p:27-44 is not listed on IDEAS
  34. Binswanger, Johannes, 2011. "Dynamic decision making with feasibility goals: A procedural-rationality approach," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 219-228, May.
  35. Johannes Binswanger, 2011. "Dynamic decision making with feasibility goals: A procedural-rationality approach," Post-Print hal-00989522, HAL.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.