Solving the stochastic growth model with a finite element method
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- Ellen R. McGrattan, 1993. "Solving the stochastic growth model with a finite element method," Staff Report 164, Federal Reserve Bank of Minneapolis.
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- Aiyagari, S. Rao & McGrattan, Ellen R., 1998.
"The optimum quantity of debt,"
Journal of Monetary Economics, Elsevier, vol. 42(3), pages 447-469, October.
- S. Rao Aiyagari & Ellen R. McGrattan, 1994. "The optimal quantity of debt," Working Papers 538, Federal Reserve Bank of Minneapolis.
- S. Rao Aiyagari & Ellen R. McGrattan, 1997. "The optimum quantity of debt," Staff Report 203, Federal Reserve Bank of Minneapolis.
- Christiano, Lawrence J. & Fisher, Jonas D. M., 2000.
"Algorithms for solving dynamic models with occasionally binding constraints,"
Journal of Economic Dynamics and Control, Elsevier, vol. 24(8), pages 1179-1232, July.
- Lawrence J. Christiano & Jonas D.M. Fisher, 1994. "Algorithms for Solving Dynamic Models with Occasionally Binding Constraints," University of Western Ontario, Departmental Research Report Series 9404, University of Western Ontario, Department of Economics.
- Lawrence J. Christiano & Jonas D. M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Papers (Old Series) 9711, Federal Reserve Bank of Cleveland.
- Lawrence J. Christiano & Jonas D. M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper Series, Macroeconomic Issues WP-97-15, Federal Reserve Bank of Chicago.
- Lawrence J. Christiano & Jonas D. M. Fisher, 1994. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper Series, Macroeconomic Issues 94-6, Federal Reserve Bank of Chicago.
- Lawrence J. Christiano & Jonas D.M. Fisher, 1997. "Algorithms for Solving Dynamic Models with Occasionally Binding Constraints," NBER Technical Working Papers 0218, National Bureau of Economic Research, Inc.
- Taylor, John B & Uhlig, Harald, 1990.
"Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 1-17, January.
- John B. Taylor & Harald Uhlig, 1989. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," NBER Working Papers 3117, National Bureau of Economic Research, Inc.
- R. Anton Braun & Ellen R. McGrattan, 1993. "The Macroeconomics of War and Peace," NBER Chapters, in: NBER Macroeconomics Annual 1993, Volume 8, pages 197-258, National Bureau of Economic Research, Inc.
- Tauchen, George & Hussey, Robert, 1991. "Quadrature-Based Methods for Obtaining Approximate Solutions to Nonlinear Asset Pricing Models," Econometrica, Econometric Society, vol. 59(2), pages 371-396, March.
- Kydland, Finn E & Prescott, Edward C, 1982.
"Time to Build and Aggregate Fluctuations,"
Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
- Christiano, Lawrence J. & Fisher, Jonas D. M., 2000.
"Algorithms for solving dynamic models with occasionally binding constraints,"
Journal of Economic Dynamics and Control, Elsevier, vol. 24(8), pages 1179-1232, July.
- Lawrence J. Christiano & Jonas D. M. Fisher, . "Algorithms for solving dynamic models with occasionally binding constraints," Staff Report, Federal Reserve Bank of Minneapolis.
- Lawrence J. Christiano & Jonas D.M. Fisher, 1994. "Algorithms for Solving Dynamic Models with Occasionally Binding Constraints," University of Western Ontario, Departmental Research Report Series 9404, University of Western Ontario, Department of Economics.
- Lawrence J. Christiano & Jonas D. M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Papers (Old Series) 9711, Federal Reserve Bank of Cleveland.
- Lawrence J. Christiano & Jonas D. M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper Series, Macroeconomic Issues WP-97-15, Federal Reserve Bank of Chicago.
- Lawrence J. Christiano & Jonas D.M. Fisher, 1997. "Algorithms for Solving Dynamic Models with Occasionally Binding Constraints," NBER Technical Working Papers 0218, National Bureau of Economic Research, Inc.
- Lawrence J. Christiano & Jonas D. M. Fisher, 1994. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper Series, Macroeconomic Issues 94-6, Federal Reserve Bank of Chicago.
- Christiano, Lawrence J, 1990. "Solving the Stochastic Growth Model by Linear-Quadratic Approximation and by Value-Function Iteration," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 23-26, January.
- Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
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