A polyhedral approximation approach to concave numerical dynamic programming
This paper introduces a numerical method for solving concave continuous state dynamic programming problems which is based on a pair of polyhedral approximations of concave functions. The method is globally convergent and produces computable upper and lower bounds on the value function which can in theory be made arbitrarily tight. This is true regardless of the pattern of binding constraints, the smoothness of model primitives, and the dimensionality and rectangularity of the state space. We illustrate the method's performance using an optimal firm management problem subject to credit constraints and partial investment irreversibilities.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 37 (2013)
Issue (Month): 11 ()
|Contact details of provider:|| Web page: http://www.elsevier.com/locate/jedc|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Christopher Phelan & Robert M. Townsend, 1991. "Computing Multi-Period, Information-Constrained Optima," Review of Economic Studies, Oxford University Press, vol. 58(5), pages 853-881.
- John Stachurski, 2008.
"Continuous State Dynamic Programming via Nonexpansive Approximation,"
Springer;Society for Computational Economics, vol. 31(2), pages 141-160, March.
- John Stachurski, 2006. "Continuous State Dynamic Programming via Nonexpansive Approximation," Department of Economics - Working Papers Series 961, The University of Melbourne.
- John Stachurski, 2006. "Continuous State Dynamic Programming Via Nonexpansive Approximation," KIER Working Papers 618, Kyoto University, Institute of Economic Research.
- Aubhik Khan & Julia K. Thomas, 2013. "Credit Shocks and Aggregate Fluctuations in an Economy with Production Heterogeneity," Journal of Political Economy, University of Chicago Press, vol. 121(6), pages 1055-1107.
- Julia K. Thomas & Aubhik Khan, 2010. "Credit Shocks and Aggregate Fluctuations in an Economy with Production Heterogeneity," 2010 Meeting Papers 801, Society for Economic Dynamics.
- Aubhik Khan & Julia K. Thomas, 2011. "Credit Shocks and Aggregate Fluctuations in an Economy with Production Heterogeneity," NBER Working Papers 17311, National Bureau of Economic Research, Inc.
- Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, July.
- Andrew B. Abel & Janice C. Eberly, 1996. "Optimal Investment with Costly Reversibility," Review of Economic Studies, Oxford University Press, vol. 63(4), pages 581-593.
- Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
- John Moore & Nobuhiro Kiyotaki, "undated". "Credit Cycles," Discussion Papers 1995-5, Edinburgh School of Economics, University of Edinburgh.
- Nobuhiro Kiyotaki & John Moore, 1995. "Credit Cycles," NBER Working Papers 5083, National Bureau of Economic Research, Inc.
- Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
- Kenneth L. Judd & Sevin Yeltekin & James Conklin, 2003. "Computing Supergame Equilibria," Econometrica, Econometric Society, vol. 71(4), pages 1239-1254, 07.
- Nishimura, Kazuo & Stachurski, John, 2009. "Equilibrium storage with multiple commodities," Journal of Mathematical Economics, Elsevier, vol. 45(1-2), pages 80-96, January.
- Kazuo Nishimura & John Stachurski, 2007. "Equilibrium Storage With Multiple Commodities," CAMA Working Papers 2007-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Manuel S. Santos & Jesus Vigo-Aguiar, 1998. "Analysis of a Numerical Dynamic Programming Algorithm Applied to Economic Models," Econometrica, Econometric Society, vol. 66(2), pages 409-426, March.
- Manuel S. Santos, 2000. "Accuracy of Numerical Solutions using the Euler Equation Residuals," Econometrica, Econometric Society, vol. 68(6), pages 1377-1402, November. Full references (including those not matched with items on IDEAS)