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Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm and non-stochastic simulations

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  • Young, Eric R.

Abstract

This article describes the approach to computing the version of the stochastic growth model with idiosyncratic and aggregate risk that relies on collapsing the aggregate state space down to a small number of moments used to forecast future prices. One innovation relative to most of the literature is the use of a non-stochastic simulation routine.

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File URL: http://www.sciencedirect.com/science/article/B6V85-4WYDMW5-4/2/602054d13483daea5f5da0ed606e0616
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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 34 (2010)
Issue (Month): 1 (January)
Pages: 36-41

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Handle: RePEc:eee:dyncon:v:34:y:2010:i:1:p:36-41

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Web page: http://www.elsevier.com/locate/jedc

Related research

Keywords: Idiosyncratic risk Business cycles Numerical methods;

References

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  1. Albert Marcet & David A. Marshall, 1994. "Solving nonlinear rational expectations models by parameterized expectations: convergence to stationary solutions," Discussion Paper / Institute for Empirical Macroeconomics 91, Federal Reserve Bank of Minneapolis.
  2. Per Krusell & Anthony A. Smith, Jr., . "Income and Wealth Heterogeneity, Portfolio Choice, and Equilibrium Asset Returns," GSIA Working Papers 1997-45, Carnegie Mellon University, Tepper School of Business.
  3. Christopher Carroll, 2005. "The Method of Endogenous Gridpoints for Solving Dynamic Stochastic Optimization Problems," Economics Working Paper Archive 520, The Johns Hopkins University,Department of Economics.
  4. Per Krusell & Anthony A. Smith & Jr., 1998. "Income and Wealth Heterogeneity in the Macroeconomy," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 867-896, October.
  5. Algan, Yann & Allais, Olivier & Den Haan, Wouter J., 2008. "Solving heterogeneous-agent models with parameterized cross-sectional distributions," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 875-908, March.
  6. S. Rao Aiyagari, 1993. "Uninsured idiosyncratic risk and aggregate saving," Working Papers 502, Federal Reserve Bank of Minneapolis.
  7. Den Haan, Wouter J., 1997. "Solving Dynamic Models With Aggregate Shocks And Heterogeneous Agents," Macroeconomic Dynamics, Cambridge University Press, vol. 1(02), pages 355-386, June.
  8. Eric R. Young & Ponpoje Porapakkarm, 2008. "Information Heterogeneity in the Macroeconomy," 2008 Meeting Papers 67, Society for Economic Dynamics.
  9. Eric R Young, 2005. "Approximate Aggregation," Computing in Economics and Finance 2005 141, Society for Computational Economics.
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Citations

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Cited by:
  1. Jacob Wong, 2012. "Aggregate Reallocation Shocks and the Dynamics of Occupational Mobility and Wage Inequality," School of Economics Working Papers 2012-04, University of Adelaide, School of Economics.
  2. Ponpoje Porapakkarm & Svetlana Pashchenko, 2011. "Quantitative Analysis of Health Insurance Reform: Separating Community Rating from Income Redistribution," 2011 Meeting Papers 1254, Society for Economic Dynamics.
  3. Pashchenko, Svetlana & Porapakkarm, Ponpoje, 2011. "Welfare costs of reclassification risk in the health insurance market," Working Paper Series, Center for Fiscal Studies 2011:13, Uppsala University, Department of Economics.
  4. Tobias Grasl, 2013. "Solving Incomplete Markets Models by Derivative Aggregation," Birkbeck Working Papers in Economics and Finance 1302, Birkbeck, Department of Economics, Mathematics & Statistics.
  5. Yanos Zylberberg, 2011. "Capital misallocation and credit constraints: Theory and evidence from natural," PSE Working Papers halshs-00607212, HAL.
  6. Fabrice Collard & Jacob Wong, 2011. "A Dynamic Model of Occupational Mobility, Structural Unemployment, Average Labour Productivity and Wage Dispersion," 2011 Meeting Papers 821, Society for Economic Dynamics.
  7. Matteo Iacoviello & Marina Pavan, 2009. "Housing and debt over the life cycle and over the business cycle," Working Papers 09-12, Federal Reserve Bank of Boston.
  8. Yann Algan & Olivier Allais & Eva Carceles-Poveda, 2009. "Macroeconomic Effects of Financial Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 678-696, October.
  9. Muffasir Badshah & Paul Beaumont & Anuj Srivastava, 2011. "Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets and Idiosyncratic Risk," Working Papers wp2011_08_02, Department of Economics, Florida State University.
  10. Svetlana Pashchenko & Ponpoje Porapakkarm, . "Quantitative Analysis of Health Insurance Reform: Separating Regulation from Redistribution," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics.
  11. Grey Gordon, 2011. "Computing Dynamic Heterogeneous-Agent Economies: Tracking the Distribution," PIER Working Paper Archive 11-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  12. Regassa Senbeta S., 2011. "How applicable are the New Keynesian DSGE models to a typical Low-Income Economy?," Working Papers 2011016, University of Antwerp, Faculty of Applied Economics.
  13. Mankart, Jochen & Oikonomou, Rigas, 2012. "Household Search and the Aggregate Labor Market," Economics Working Paper Series 1225, University of St. Gallen, School of Economics and Political Science.

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