Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods

Citations

Cited by:

1. John Duffy & Paul D. McNelis, "undated". "Approximating and Simulating the Real Business Cycle: Linear Quadratic Methods, Parameterized Expectations and Genetic Algorithms," Computing in Economics and Finance 1997 63, Society for Computational Economics.
   • Paul McNelis & John Duffy, 1997. "Approximating and Simulating the Real Business Cycle: Linear Quadratic Methods, Parameterized Expectations, and Genetic Algorithms," Macroeconomics 9706001, University Library of Munich, Germany.
2. repec:hum:wpaper:sfb649dp2006-030 is not listed on IDEAS
3. 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," Staff Report 171, Federal Reserve Bank of Minneapolis.
   • 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, 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," NBER Technical Working Papers 0218, National Bureau of Economic Research, Inc.
4. Chase Coleman & Spencer Lyon & Lilia Maliar & Serguei Maliar, 2021. "Matlab, Python, Julia: What to Choose in Economics?," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1263-1288, December.
   • Coleman, Chase & Lyon, Spencer & Maliar, Serguei, 2018. "Matlab, Python, Julia: What to Choose in Economics?," CEPR Discussion Papers 13210, C.E.P.R. Discussion Papers.
5. Richard Evans & Kerk Phillips, 2014. "OLG Life Cycle Model Transition Paths: Alternate Model Forecast Method," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 105-131, January.
   • Evans, Richard W. & Phillips, Kerk L., 2010. "OLG fife cycle model transition paths: alternate model forecast method," MPRA Paper 24548, University Library of Munich, Germany.
   • Richard W. Evans & Kerk L. Phillips, 2012. "OLG Life Cycle Model Transition Paths: Alternate Model Forecast Method," BYU Macroeconomics and Computational Laboratory Working Paper Series 2012-04, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
6. Jermann, Urban J., 1998. "Asset pricing in production economies," Journal of Monetary Economics, Elsevier, vol. 41(2), pages 257-275, April.
7. Pizer, William A., 1999. "The optimal choice of climate change policy in the presence of uncertainty," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 255-287, August.
8. Aruoba, S. Boragan & Fernandez-Villaverde, Jesus & Rubio-Ramirez, Juan F., 2006. "Comparing solution methods for dynamic equilibrium economies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2477-2508, December.
   • S. Boragan Aruoba & Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2003. "Comparing Solution Methods for Dynamic Equilibrium Economies," PIER Working Paper Archive 04-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
   • S. Boragan Aruoba & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2003. "Comparing solution methods for dynamic equilibrium economies," FRB Atlanta Working Paper 2003-27, Federal Reserve Bank of Atlanta.
   • S. B. Aruoba & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2005. "Comparing Solution Methods for Dynamic Equilibrium Economies," Levine's Bibliography 122247000000000855, UCLA Department of Economics.
9. Fair, Ray C & Taylor, John B, 1990. "Full Information Estimation and Stochastic Simulation of Models with Rational Expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(4), pages 381-392, Oct.-Dec..
   • Ray C. Fair & John B. Taylor, 1989. "Full Information Estimation and Stochastic Simulation of Models with Rational Expectations," Cowles Foundation Discussion Papers 921, Cowles Foundation for Research in Economics, Yale University.
   • Ray C. Fair & John B. Taylor, 1991. "Full Information Estimation and Stochastic Simulation of Models with Rational Expectations," NBER Technical Working Papers 0078, National Bureau of Economic Research, Inc.
10. Rioja, Felix K., 1999. "Productiveness and welfare implications of public infrastructure: a dynamic two-sector general equilibrium analysis," Journal of Development Economics, Elsevier, vol. 58(2), pages 387-404, April.
11. den Haan, Wouter J., 1995. "The term structure of interest rates in real and monetary economies," Journal of Economic Dynamics and Control, Elsevier, vol. 19(5-7), pages 909-940.
12. Ueda, Atsuko, 2000. "A Growth Model of "Miracle" in Korea," Journal of Policy Modeling, Elsevier, vol. 22(1), pages 43-59, January.
13. Boppart, Timo & Krusell, Per & Mitman, Kurt, 2018. "Exploiting MIT shocks in heterogeneous-agent economies: the impulse response as a numerical derivative," Journal of Economic Dynamics and Control, Elsevier, vol. 89(C), pages 68-92.
    • Mitman, Kurt & Boppart, Timo, 2017. "Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative," CEPR Discussion Papers 12520, C.E.P.R. Discussion Papers.
    • Timo Boppart & Per Krusell & Kurt Mitman, 2017. "Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative," NBER Working Papers 24138, National Bureau of Economic Research, Inc.
14. S. Sirakaya & Stephen Turnovsky & M. Alemdar, 2006. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 185-206, May.
    • Sibel Sirakaya & Stephen Turnovsky & N.M. Alemdar, 2005. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Working Papers UWEC-2006-03-P, University of Washington, Department of Economics, revised Jul 2005.
15. Yannis M. Ioannides & Vassilis A. Hajivassiliou, 2007. "Unemployment and liquidity constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 479-510.
    • Vassilis A. Hajivassiliou & Yannis M. Ioannides, 1993. "Unemployment and Liquidity Constraints," Working Papers _019, Yale University.
    • Vassilis A. Hajivassiliou & Yannis M. Ioannides, 1999. "Unemployment and Liquidity Constraints," Discussion Papers Series, Department of Economics, Tufts University 9925, Department of Economics, Tufts University.
    • Vassilis A. Hajivassiliou & Yannis M. Ioannides, 1995. "Unemployment and Liquidity Constraints," Cowles Foundation Discussion Papers 1090, Cowles Foundation for Research in Economics, Yale University.
    • V A Hajivassiliou & Y Ioannides, 1995. "Unemployment and Liquidity Constraints," CEP Discussion Papers dp0243, Centre for Economic Performance, LSE.
16. Lars Grüne & Willi Semmler, 2007. "Asset pricing with dynamic programming," Computational Economics, Springer;Society for Computational Economics, vol. 29(3), pages 233-265, May.
17. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2020. "A tractable framework for analyzing a class of nonstationary Markov models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1289-1323, November.
    • Lilia Maliar & Serguei Maliar & John Taylor & Inna Tsener, 2015. "A Tractable Framework for Analyzing a Class of Nonstationary Markov Models," NBER Working Papers 21155, National Bureau of Economic Research, Inc.
    • Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2015. "A Tractable Framework for Analyzing a Class of Nonstationary Markov Models," Economics Working Papers 15105, Hoover Institution, Stanford University.
18. Judd, Kenneth L., 1996. "Approximation, perturbation, and projection methods in economic analysis," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 12, pages 509-585, Elsevier.
19. Posch, Olaf, 2011. "Risk premia in general equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1557-1576, September.
    • Olaf Posch, 2009. "Risk premia in general equilibrium," CREATES Research Papers 2009-58, Department of Economics and Business Economics, Aarhus University.
    • Olaf Posch, 2010. "Risk Premia in General Equilibrium," CESifo Working Paper Series 3131, CESifo.
    • Olaf Posch, 2011. "Risk premia in general equilibrium," Post-Print hal-00851860, HAL.
20. Coleman, Wilbur John, II, 1993. "Solving Nonlinear Dynamic Models on Parallel Computers," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 325-330, July.
    • Wilbur John Coleman, 1992. "Solving nonlinear dynamic models on parallel computers," Discussion Paper / Institute for Empirical Macroeconomics 66, Federal Reserve Bank of Minneapolis.
21. Ambler, Steve & Paquet, Alain, 1997. "Recursive methods for computing equilibria of general equilibrium dynamic Stackelberg games," Economic Modelling, Elsevier, vol. 14(2), pages 155-173, April.
    • Steve Ambler & Alain Paquet, 1994. "Recursive Methods for Computing Equilibria of General Equilibrium Dynamic Stackelberg Games," Cahiers de recherche CREFE / CREFE Working Papers 25, CREFE, Université du Québec à Montréal.
22. David R.F. Love, 2009. "Accuracy of Deterministic Extended-Path Solution Methods for Dynamic Stochastic Optimization Problems in Macroeconomics," Working Papers 0907, Brock University, Department of Economics.
23. 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.
    • Olson, Lars J. & Roy, Santanu, 2005. "Theory of Stochastic Optimal Economic Growth," Working Papers 28601, University of Maryland, Department of Agricultural and Resource Economics.
24. Grishchenko, Olesya V., 2011. "Asset pricing in the production economy subject to monetary shocks," Journal of Economics and Business, Elsevier, vol. 63(3), pages 187-216, May.
25. Francisco Blasques, 2014. "Transformed Polynomials For Nonlinear Autoregressive Models Of The Conditional Mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 218-238, May.
    • Francisco Blasques, 2012. "Transformed Polynomials for Nonlinear Autoregressive Models of the Conditional Mean," Tinbergen Institute Discussion Papers 12-133/III, Tinbergen Institute.
26. Jermann, Urban J., 2002. "International portfolio diversification and endogenous labor supply choice," European Economic Review, Elsevier, vol. 46(3), pages 507-522, March.
    • Jermann, U.J., 1998. "International Portfolio Diversification and Endogenous Labour Supply Choice," Weiss Center Working Papers 98-06, Wharton School - Weiss Center for International Financial Research.
27. Duffie, Darrell & Singleton, Kenneth J, 1993. "Simulated Moments Estimation of Markov Models of Asset Prices," Econometrica, Econometric Society, vol. 61(4), pages 929-952, July.
    • Darrell Duffie & Kenneth J. Singleton, 1990. "Simulated Moments Estimation of Markov Models of Asset Prices," NBER Technical Working Papers 0087, National Bureau of Economic Research, Inc.
28. Bobenrieth H., Eugenio S.A. & Bobenrieth H., Juan R.A. & Wright, Brian D., 2008. "A foundation for the solution of consumption-saving behavior with a borrowing constraint and unbounded marginal utility," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 695-708, March.
    • Eugenio Bobenrieth & Juan Bobenrieth, 2006. "A Foundation for the Solution of Consumption-Saving Behavior with Borrowing Constraint and Unbounded Marginal Utility," Working Papers 02-2006, Departamento de Economía, Universidad de Concepción.
29. Berardi, Michele & Duffy, John, 2015. "Real-Time, Adaptive Learning Via Parameterized Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 245-269, March.
    • Michele Berardi & John Duffy, 2010. "Real-Time, Adaptive Learning via Parameterized Expectations," Centre for Growth and Business Cycle Research Discussion Paper Series 147, Economics, The University of Manchester.
30. Marco Maria Sorge, 2010. "A note on Kalman filter approach to solution of rational expectations models," Economics Bulletin, AccessEcon, vol. 30(3), pages 2002-2009.
    • Sorge, Marco M., 2010. "A Note on Kalman Filter Approach To Solution of Rational Expectations Models," Bonn Econ Discussion Papers 04/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).
31. Campbell, John Y., 1994. "Inspecting the mechanism: An analytical approach to the stochastic growth model," Journal of Monetary Economics, Elsevier, vol. 33(3), pages 463-506, June.
    • John Y. Campbell, 1992. "Inspecting the Mechanism: An Analytical Approach to the Stochastic Growth Model," NBER Working Papers 4188, National Bureau of Economic Research, Inc.
    • Campbell, John, 1994. "Inspecting the Mechanism: An Analytical Approach to the Stochastic Growth Model," Scholarly Articles 3196342, Harvard University Department of Economics.
32. Adda, Jerome & Boucekkine, Raouf, 1995. "Liquidity constraints and time non-separable preferences: simulating models with large state spaces," UC3M Working papers. Economics 3911, Universidad Carlos III de Madrid. Departamento de Economía.
33. Uhlig, H.F.H.V.S., 1995. "A toolkit for analyzing nonlinear dynamic stochastic models easily," Discussion Paper 1995-97, Tilburg University, Center for Economic Research.
    • Harald Uhlig, 1995. "A toolkit for analyzing nonlinear dynamic stochastic models easily," Discussion Paper / Institute for Empirical Macroeconomics 101, Federal Reserve Bank of Minneapolis.
    • Harald Uhlig, 1998. "A Toolkit for Analysing Nonlinear Dynamic Stochastic Models Easily," QM&RBC Codes 123, Quantitative Macroeconomics & Real Business Cycles.
34. Reiter, Michael, 1997. "Chow's method of optimal control," Journal of Economic Dynamics and Control, Elsevier, vol. 21(4-5), pages 723-737, May.
35. Raahauge, Peter, 2006. "Upper Bounds on Numerical Approximation Errors," Working Papers 2004-4, Copenhagen Business School, Department of Finance.
36. Valles, Javier, 1997. "Aggregate investment in a business cycle model with adjustment costs," Journal of Economic Dynamics and Control, Elsevier, vol. 21(7), pages 1181-1198, June.
37. Paul Pichler, 2007. "On the accuracy of low-order projection methods," Economics Bulletin, AccessEcon, vol. 3(50), pages 1-8.
38. Serguei Maliar & John Taylor & Lilia Maliar, 2016. "The Impact of Alternative Transitions to Normalized Monetary Policy," 2016 Meeting Papers 794, Society for Economic Dynamics.
39. Isaiah Hull & Or Sattath & Eleni Diamanti & Göran Wendin, 2024. "Quantum Technology for Economists," Contributions to Economics, Springer, number 978-3-031-50780-9, March.
    • Hull, Isaiah & Sattath, Or & Diamanti, Eleni & Wendin, Göran, 2020. "Quantum Technology for Economists," Working Paper Series 398, Sveriges Riksbank (Central Bank of Sweden).
    • Isaiah Hull & Or Sattath & Eleni Diamanti & Goran Wendin, 2020. "Quantum Technology for Economists," Papers 2012.04473, arXiv.org, revised Oct 2021.
40. Boucekkine, Raouf & Juillard, Michel & Malgrange, Pierre, 1997. "Precision Performances of Terminal Conditions for Short Time Horizons Forward-Looking Systems," Computational Economics, Springer;Society for Computational Economics, vol. 10(2), pages 169-186, May.
    • Boucekkine, Raouf & Juillard, Michel & Malgrange, Pierre, 1995. "Precision performances of terminal conditions for short time horizons forward-looking systems," UC3M Working papers. Economics 3909, Universidad Carlos III de Madrid. Departamento de Economía.
41. Germán Rojas A., 1991. "Economía dinámica y el enfoque recursivo," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 6(1), pages 143-153.
42. Karp, Larry S. & Zhang, Jiangfeng, 2001. "Bayesian Learning and the Regulation of Greenhouse Gas Emissions," CUDARE Working Papers 6214, University of California, Berkeley, Department of Agricultural and Resource Economics.
    • Karp, Larry & Zhang, Jiangfeng, 2001. "Bayesian Learning and the Regulation of Greenhouse Gas Emissions," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2fr0783c, Department of Agricultural & Resource Economics, UC Berkeley.
43. José Cao-Alvira, 2010. "Finite Elements in the Presence of Occasionally Binding Constraints," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 355-370, April.
44. Stephanie Becker & Lars Grüne & Willi Semmler, 2007. "Comparing accuracy of second-order approximation and dynamic programming," Computational Economics, Springer;Society for Computational Economics, vol. 30(1), pages 65-91, August.
    • Willi Semmler & Stephanie Becker & Lars Gruene, 2006. "Comparing Accuracy of Second Order Approximation and Dynamic Programming," Computing in Economics and Finance 2006 469, Society for Computational Economics.
45. Gallant, A. Ronald & Tauchen, George, 2002. "Simulated Score Methods and Indirect Inference for Continuous-time Models," Working Papers 02-09, Duke University, Department of Economics.
46. McGrattan, Ellen R., 1996. "Solving the stochastic growth model with a finite element method," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 19-42.
    • Ellen R. McGrattan, 1993. "Solving the stochastic growth model with a finite element method," Staff Report 164, Federal Reserve Bank of Minneapolis.
47. Uhlig, Harald, 2006. "Approximate solutions to dynamic models: Linear methods," SFB 649 Discussion Papers 2006-030, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
48. Gordon, Stephen, 1996. "How long is the firm's forecast horizon?," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1145-1176.
    • Gordon, S.F., 1993. "How Long is the Firm's Forecast Horizon?," Papers 9322, Laval - Recherche en Politique Economique.
49. Akdeniz, Levent & Dechert, W. Davis, 1997. "Do CAPM results hold in a dynamic economy? A numerical analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 21(6), pages 981-1003, June.
50. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800, Elsevier.
    • John Geweke, 1995. "Monte Carlo simulation and numerical integration," Staff Report 192, Federal Reserve Bank of Minneapolis.
51. Kim, Jinill & Kim, Sunghyun Henry, 2003. "Spurious welfare reversals in international business cycle models," Journal of International Economics, Elsevier, vol. 60(2), pages 471-500, August.
    • Jinill Kim & Sunghyun Henry Kim, 1999. "Spurious Welfare Reversals in International Business Cycle Models," Virginia Economics Online Papers 319, University of Virginia, Department of Economics.
    • Jinill Kim and Sunghyun Henry Kim, 2001. "Spurious Welfare Reversals in International Business Cycle Models," Computing in Economics and Finance 2001 3, Society for Computational Economics.
52. Sanjiv Ranjan Das & Rangarajan K. Sundaram, 2002. "An approximation algorithm for optimal consumption/investment problems," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 11(2), pages 55-69, April.
53. Kenneth Judd & Lilia Maliar & Serguei Maliar, 2009. "Numerically Stable Stochastic Simulation Approaches for Solving Dynamic Economic Models," NBER Working Papers 15296, National Bureau of Economic Research, Inc.
    • Serguei Maliar & Lilia Maliar & Kenneth Judd, 2010. "Numerically Stable Stochastic Simulation Approaches for Solving Dynamic Economic Models," 2010 Meeting Papers 280, Society for Economic Dynamics.
54. Urban J. Jermann, 1997. "International portfolio diversification and labor/leisure choice," Discussion Paper / Institute for Empirical Macroeconomics 119, Federal Reserve Bank of Minneapolis.
    • Urban J. Jermann, 1998. "International Portfolio Diversification and Labor/Leisure Choice," NBER Working Papers 6382, National Bureau of Economic Research, Inc.
55. Jeremy Berkowitz, 1996. "Generalized spectral estimation," Finance and Economics Discussion Series 96-37, Board of Governors of the Federal Reserve System (U.S.).
56. Peter Woehrmann & Willi Semmler & Martin Lettau, "undated". "Nonparametric Estimation of the Time-varying Sharpe Ratio in Dynamic Asset Pricing Models," IEW - Working Papers 225, Institute for Empirical Research in Economics - University of Zurich.
57. Sustek, Roman, 2009. "Nonconvex Margins of Output Adjustment and Aggregate Fluctuations," MPRA Paper 17486, University Library of Munich, Germany.
58. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    • Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    • John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo.
59. Jeffrey C. Fuhrer & C. Hoyt Bleakley, "undated". "Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectations Models," Computing in Economics and Finance 1997 35, Society for Computational Economics.
    • Hoyt Bleakley & Jeffrey C. Fuhrer, 1996. "Computationally efficient solution and maximum likelihood estimation of nonlinear rational expectation models," Working Papers 96-2, Federal Reserve Bank of Boston.
60. Marcet, Albert & Singleton, Kenneth J., 1999. "Equilibrium Asset Prices And Savings Of Heterogeneous Agents In The Presence Of Incomplete Markets And Portfolio Constraints," Macroeconomic Dynamics, Cambridge University Press, vol. 3(2), pages 243-277, June.
    • Albert Marcet & Kenneth J. Singleton, 1990. "Equilibrium asset prices and savings of heterogeneous agents in the presence of incomplete markets and portfolio constraints," Economics Working Papers 319, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 1998.
61. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    • Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
    • Sungbae An & Frank Schorfheide, 2006. "Bayesian analysis of DSGE models," Working Papers 06-5, Federal Reserve Bank of Philadelphia.
62. Francisco (F.) Blasques & Marc Nientker, 2019. "Transformed Perturbation Solutions for Dynamic Stochastic General Equilibrium Models," Tinbergen Institute Discussion Papers 19-012/III, Tinbergen Institute, revised 09 Feb 2020.
63. Tapan Mitra & Santanu Roy, 2023. "Stochastic growth, conservation of capital and convergence to a positive steady state," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(1), pages 311-351, July.
64. Posch, Olaf & Trimborn, Timo, 2013. "Numerical solution of dynamic equilibrium models under Poisson uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2602-2622.
    • Olaf Posch & Timo Trimborn, 2011. "Numerical Solution of Dynamic Equilibrium Models under Poisson Uncertainty," CESifo Working Paper Series 3431, CESifo.
    • Olaf Posch & Timo Trimborn, 2011. "Numerical Solution of Dynamic Equilibrium Models under Poisson Uncertainty," DEGIT Conference Papers c016_044, DEGIT, Dynamics, Economic Growth, and International Trade.
65. Kollmann, Robert, 1991. ""Essays on International Business Cycles", PhD thesis, Economics Department, University of Chicago, 1991," MPRA Paper 69905, University Library of Munich, Germany.
66. repec:ebl:ecbull:v:3:y:2003:i:1:p:1-14 is not listed on IDEAS
67. Bernhard Eckwert & Burkhard Drees, 2006. "Implications of Better Information for Technological Development and Welfare," EcoMod2006 272100022, EcoMod.
68. John B. Taylor, 2002. "The Monetary Transmission Mechanism and the Evaluation of Monetary Policy Rules," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy: Rules and Transmission Mechanisms, edition 1, volume 4, chapter 2, pages 021-046, Central Bank of Chile.
    • John B. Taylor, 2000. "The Monetary Transmission Mechanism and the Evaluation of Monetary Policy Rules," Working Papers Central Bank of Chile 87, Central Bank of Chile.
69. David R.F. Love & Jean-Francois Lamarche, 2004. "Anticipation and Real Business Cycles," Working Papers 0703, Brock University, Department of Economics, revised Sep 2007.
70. Paul Pichler, 2005. "Evaluating Approximate Equilibria of Dynamic Economic Models," Vienna Economics Papers 0510, University of Vienna, Department of Economics.
71. Schenk-Hoppe, Klaus Reiner, 2005. "Poverty traps and business cycles in a stochastic overlapping generations economy with S-shaped law of motion," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 275-288, June.
    • Klaus Reiner Schenk-Hoppé, 2002. "Poverty Traps and Business Cycles in a Stochastic Overlapping Generations Economy with S-shaped Law of Motion," Discussion Papers 02-13, University of Copenhagen. Department of Economics.
72. Lawrence J. Christiano, 1989. "Understanding Japan's saving rate: the reconstruction hypothesis," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Spr), pages 10-25.
73. Jesús Fernández-Villaverde & Isaiah J. Hull, 2023. "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," NBER Working Papers 31326, National Bureau of Economic Research, Inc.
    • Jes'us Fern'andez-Villaverde & Isaiah Hull, 2023. "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," Papers 2306.04285, arXiv.org.
    • Jesús Fernández-Villaverde & Isaiah Hull, 2023. "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CESifo Working Paper Series 10500, CESifo.
    • Fernández-Villaverde, Jesús & Hull, Isaiah, 2023. "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CEPR Discussion Papers 18190, C.E.P.R. Discussion Papers.
74. Stemp, Peter J. & Herbert, Ric D., 2003. "Calculating short-run adjustments: Sensitivity to non-linearities in a representative agent framework," Journal of Economic Dynamics and Control, Elsevier, vol. 27(3), pages 357-379, January.
75. Posch, Olaf & Trimborn, Timo, 2010. "Numerical solution of continuous-time DSGE models under Poisson uncertainty," Hannover Economic Papers (HEP) dp-450, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    • Olaf Posch & Timo Trimborn, 2010. "Numerical solution of continuous-time DSGE models under Poisson uncertainty," Economics Working Papers 2010-08, Department of Economics and Business Economics, Aarhus University.
76. Bona, Jerry L. & Santos, Manuel S., 1997. "On the Role of Computation in Economic Theory," Journal of Economic Theory, Elsevier, vol. 72(2), pages 241-281, February.
77. Diagne, Youssoupha S & Fall, Alsim, 2009. "La spéculation contribue- t- elle à expliquer la dynamique des prix des produits alimentaires au Sénégal ? [Does speculation explain food prices movements in Senegal?]," MPRA Paper 54880, University Library of Munich, Germany.
78. Pizer, William A., 1997. "Optimal Choice of Policy Instrument and Stringency Under Uncertainty: The Case of Climate Change," Discussion Papers 10582, Resources for the Future.
    • Pizer, William, 1997. "Optimal Choice of Policy Instrument and Stringency Under Uncertainty: The Case of Climate Change," RFF Working Paper Series dp-97-17, Resources for the Future.
79. Lettau, M. & Uhlig, H.F.H.V.S., 1995. "Rule of Thumb and Dynamic Programming," Other publications TiSEM 30ad8072-6a3b-4e5b-8227-9, Tilburg University, School of Economics and Management.
    • Lettau, M. & Uhlig, H.F.H.V.S., 1995. "Rule of Thumb and Dynamic Programming," Discussion Paper 1995-27, Tilburg University, Center for Economic Research.
80. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1439-1512, Elsevier.
    • Schmidt, Sebastian & Wieland, Volker, 2012. "The new keynesian approach to dynamic general equilibrium modeling: Models, methods, and macroeconomic policy evaluation," IMFS Working Paper Series 52, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
81. Ignacio Mauleón, 1998. "Interest rate expectations and the exchange rate," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 4(2), pages 179-191, May.
82. Karen Kopecky & Richard Suen, 2010. "Finite State Markov-chain Approximations to Highly Persistent Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(3), pages 701-714, July.
    • Kopecky, Karen A. & Suen, Richard M. H., 2009. "Finite State Markov-Chain Approximations to Highly Persistent Processes," MPRA Paper 17201, University Library of Munich, Germany.
    • Kopecky, Karen A. & Suen, Richard M. H., 2009. "Finite State Markov-Chain Approximations to Highly Persistent Processes," MPRA Paper 15122, University Library of Munich, Germany.
    • Karen A. Kopecky & Richard M. H. Suen, 2009. "Finite State Markov-Chain Approximations to Highly Persistent Processes," Working Papers 200904, University of California at Riverside, Department of Economics, revised May 2009.
83. Kollmann, Robert & Maliar, Serguei & Malin, Benjamin A. & Pichler, Paul, 2011. "Comparison of solutions to the multi-country Real Business Cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(2), pages 186-202, February.
    • Robert Kollmann & Serguei Maliar & Benjamin A. Malin & Paul Pichler, 2010. "Comparison of solutions to the multi-country real business cycle model," Post-Print hal-00765825, HAL.
84. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
85. Ariel Pakes, "undated". "Computational Issues in the Analysis of Simple IO Models: A Report from the Applied Front," Computing in Economics and Finance 1996 _043, Society for Computational Economics.
86. William A. Barnett & Yi Liu & Haiyang Xu & Mark Jensen, 1996. "The CAPM Risk Adjustment Needed for Exact Aggregation over Financial Assets," Econometrics 9602003, University Library of Munich, Germany.
    • William Barnett & Yi Liu & Haiyang Xu & Mark Jensen, 2012. "The CAPM Risk Adjustment Needed for Exact Aggregation over Financial Assets," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201215, University of Kansas, Department of Economics, revised Sep 2012.
87. Wouter J. Den Haan & Albert Marcet, 1994. "Accuracy in Simulations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 3-17.
    • Wouter J. den Haan & Albert Marcet, 1993. "Accuracy in simulations," Economics Working Papers 42, Department of Economics and Business, Universitat Pompeu Fabra.
88. repec:ebl:ecbull:v:3:y:2007:i:50:p:1-8 is not listed on IDEAS
89. Tauchen, George E., 1995. "New Minimum Chi-Square Methods in Empirical Finance," Working Papers 95-42, Duke University, Department of Economics.
90. Richard Pierse, 2006. "Terminal conditions in forward-looking economic models," School of Economics Discussion Papers 1006, School of Economics, University of Surrey.
91. Dissou, Yazid & Karnizova, Lilia, 2016. "Emissions cap or emissions tax? A multi-sector business cycle analysis," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 169-188.
    • Yazid Dissou & Lilia Karnizova, 2012. "Emissions Cap or Emissions Tax? A Multi-sector Business Cycle Analysis," Working Papers 1210E, University of Ottawa, Department of Economics.
92. Willi Semmler & Lars Grüne, 2004. "Asset Pricing with Delayed Consumption Decisions," Computing in Economics and Finance 2004 59, Society for Computational Economics.
93. Ariel Pakes & Paul McGuire, 1994. "Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," RAND Journal of Economics, The RAND Corporation, vol. 25(4), pages 555-589, Winter.
    • Ariel Pakes & Paul McGuire, 1992. "Computing Markov Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," NBER Technical Working Papers 0119, National Bureau of Economic Research, Inc.
    • Paul McGuire & Ariel Pakes, 1992. "Computing Markov perfect Nash equilibria: numerical implications of a dynamic differentiated product model," Discussion Paper / Institute for Empirical Macroeconomics 58, Federal Reserve Bank of Minneapolis.
94. Serena Ng & Francisco J. Ruge-Murcia, 2000. "Explaining the Persistence of Commodity Prices," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 149-171, October.
    • Serena Ng & Francisco Ruge-Murcia, 1997. "Explaining the Persistence of Commodity Prices," Boston College Working Papers in Economics 374, Boston College Department of Economics.
    • NG, Serena & RUGE-MURCIA, Francisco J., 1997. "Explaining the Persistence of Commodity Prices," Cahiers de recherche 9709, Universite de Montreal, Departement de sciences economiques.
95. Oliver de Groot & Ceyhun Bora Durdu & Enrique G. Mendoza, 2019. "Approximately Right?: Global v. Local Methods for Open-Economy Models with Incomplete Markets," NBER Working Papers 26426, National Bureau of Economic Research, Inc.
    • Oliver de Groot & Bora Durdu & Enrique G. Mendoza, 2020. "Approximately Right?: Global v. Local Methods for Open-Economy Models with Incomplete Markets," Finance and Economics Discussion Series 2020-006, Board of Governors of the Federal Reserve System (U.S.).
96. Jeremy Berkowitz, "undated". "Generalized Spectral Estimation," Finance and Economics Discussion Series 1996-37, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
97. Parra-Alvarez, Juan Carlos, 2018. "A Comparison Of Numerical Methods For The Solution Of Continuous-Time Dsge Models," Macroeconomic Dynamics, Cambridge University Press, vol. 22(6), pages 1555-1583, September.
    • Juan Carlos Parra-Alvarez, 2013. "A comparison of numerical methods for the solution of continuous-time DSGE models," CREATES Research Papers 2013-39, Department of Economics and Business Economics, Aarhus University.
98. Jasmina Hasanhodzic & Laurence J. Kotlikoff, 2017. "Valuing Government Obligations When Markets are Incomplete," NBER Working Papers 24092, National Bureau of Economic Research, Inc.
99. David R.F. Love, 2010. "Revisiting deterministic extended-path: a simple and accurate solution method for macroeconomic models," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 1(3/4), pages 309-316.
100. Watson, Mark W, 1993. "Measures of Fit for Calibrated Models," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1011-1041, December.
     • Mark W. Watson, 1991. "Measures of fit for calibrated models," Working Paper Series, Macroeconomic Issues 91-9, Federal Reserve Bank of Chicago.
     • Mark W. Watson, 1991. "Measures of Fit for Calibrated Models," NBER Technical Working Papers 0102, National Bureau of Economic Research, Inc.
101. Ilaski Barañano, 2001. "Endogenous growth and economic fluctuations," Investigaciones Economicas, Fundación SEPI, vol. 25(3), pages 515-541, September.
102. Alfonso Novales & Javier J. PÈrez, 2004. "Is It Worth Refining Linear Approximations to Non-Linear Rational Expectations Models?," Computational Economics, Springer;Society for Computational Economics, vol. 23(4), pages 343-377, June.
     • Alfonso Novales & Javier J. Pérez, 2002. "Is it Worth Refining Linear Approximations to Non-Linear Rational Expectations Models?," Economic Working Papers at Centro de Estudios Andaluces E2002/15, Centro de Estudios Andaluces.
103. Karine S. Moe, 1998. "Fertility, Time Use, and Economic Development," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(3), pages 699-718, July.
104. Kelly, David L. & Kolstad, Charles D., 1999. "Bayesian learning, growth, and pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 491-518, February.
105. Uhlig, H.F.H.V.S., 1995. "A toolkit for analyzing nonlinear dynamic stochastic models easily," Other publications TiSEM cc1b2469-9d2f-445a-a2b3-1, Tilburg University, School of Economics and Management.
106. Duffy, John & McNelis, Paul D., 2001. "Approximating and simulating the stochastic growth model: Parameterized expectations, neural networks, and the genetic algorithm," Journal of Economic Dynamics and Control, Elsevier, vol. 25(9), pages 1273-1303, September.
     • Paul McNelis & John Duffy, 1998. "Approximating and Simulating the Stochastic Growth Model: Parameterized Expectations, Neural Networks, and the Genetic Algorithm," GE, Growth, Math methods 9804004, University Library of Munich, Germany, revised 14 May 1998.
107. Phillip M Johnson, 2002. "Essays on Capital Markets: Frictions and Social Forces," Levine's Working Paper Archive 618897000000000052, David K. Levine.
108. David R.F. Love, 2008. "A Note on the Accuracy of Extended-Path Solution Methods for Dynamic General Equilibrium Economies," Working Papers 0801, Brock University, Department of Economics, revised Apr 2008.
109. McGrattan, Ellen R., 1994. "The macroeconomic effects of distortionary taxation," Journal of Monetary Economics, Elsevier, vol. 33(3), pages 573-601, June.
     • Ellen R. McGrattan, 1991. "The macroeconomic effects of distortionary taxation," Discussion Paper / Institute for Empirical Macroeconomics 37, Federal Reserve Bank of Minneapolis.
110. Jinill Kim & Sunghyun Henry Kim, 1999. "Inaccuracy of Loglinear Approximation in Welfare Calculations: the Case of International Risk Sharing," Computing in Economics and Finance 1999 251, Society for Computational Economics.
111. Guerrieri, Luca & Iacoviello, Matteo, 2015. "OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 22-38.
     • Luca Guerrieri & Matteo Iacoviello, 2014. "OccBin: A Toolkit for Solving Dynamic Models With Occasionally Binding Constraints Easily," Finance and Economics Discussion Series 2014-47, Board of Governors of the Federal Reserve System (U.S.).
     • Matteo Iacoviello, 2014. "OccBin: A Toolkit for Solving Dynamic Models With Occasionally Binding Constraints Easily," 2014 Meeting Papers 801, Society for Economic Dynamics.
112. Bansal, Ravi & Gallant, A. Ronald & Hussey, Robert & Tauchen, George, 1995. "Nonparametric estimation of structural models for high-frequency currency market data," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 251-287.
113. Talmain, Gabriel, 1998. "An analytical approximate solution to the problem of precautionary savings," Journal of Economic Dynamics and Control, Elsevier, vol. 23(1), pages 113-124, September.
     • Gabriel Talmain, "undated". "An Analytical Approximate Solution to the Problem of Precautionary Savings," Discussion Papers 98/4, Department of Economics, University of York.
114. Heer, Burkhard & Maußner, Alfred, 2008. "Computation Of Business Cycle Models: A Comparison Of Numerical Methods," Macroeconomic Dynamics, Cambridge University Press, vol. 12(5), pages 641-663, November.
     • Burkhard Heer & Alfred Maussner, 2004. "Computation of Business Cycle Models: A Comparison of Numerical Methods," CESifo Working Paper Series 1207, CESifo.
115. Taylor, John B, 2000. "Alternative Views of the Monetary Transmission Mechanism: What Difference Do They Make for Monetary Policy?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 16(4), pages 60-73, Winter.
116. Francisco J. Ruge-Murcia, 2013. "Generalized Method of Moments estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 20, pages 464-485, Edward Elgar Publishing.
117. Palm, Franz C. & Pfann, Gerard A., 1998. "Sources of asymmetry in production factor dynamics," Journal of Econometrics, Elsevier, vol. 82(2), pages 361-392, February.
118. Semmler, Will & Gong, Gang, 1996. "Estimating parameters of real business cycle models," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 301-325, September.
119. Sefton, J. A., 2000. "A solution method for consumption decisions in a dynamic stochastic general equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 1097-1119, June.
120. de Castro, Luciano & Galvao, Antonio F. & Muchon, Andre, 2023. "Numerical Solution of Dynamic Quantile Models," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
121. Patrick Minford & Prakriti Sofat, 2004. "An Open Economy Real Business Cycle Model for the UK," Money Macro and Finance (MMF) Research Group Conference 2004 23, Money Macro and Finance Research Group.
122. Paul Fackler, 2005. "A MATLAB Solver for Nonlinear Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 173-181, October.
123. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2010. "A Cluster-Grid Projection Method: Solving Problems with High Dimensionality," NBER Working Papers 15965, National Bureau of Economic Research, Inc.
124. Oliver de Groot & C. Bora Durdu & Enrique G. Mendoza, 2019. "Global v. Local Methods in the Analysis of Open-Economy Models with Incomplete Markets," Working Papers 201916, University of Liverpool, Department of Economics.
125. Kenneth L. Judd, 1991. "Minimum weighted residual methods for solving aggregate growth models," Discussion Paper / Institute for Empirical Macroeconomics 49, Federal Reserve Bank of Minneapolis.
126. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2014. "Lower Bounds on Approximation Errors: Testing the Hypothesis That a Numerical Solution Is Accurate?," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-06, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
127. Hamori, Shigeyuki & Hamori, Naoko, 2000. "An empirical analysis of economic fluctuations in Japan: 1885-1940," Japan and the World Economy, Elsevier, vol. 12(1), pages 11-19, January.
128. Bongers, Anelí & Molinari, Benedetto & Torres, José L., 2022. "Computers, Programming and Dynamic General Equilibrium Macroeconomic Modeling," MPRA Paper 112505, University Library of Munich, Germany.
129. Holger Strulik, 2004. "Solving Rational Expectations Models Using Excel," The Journal of Economic Education, Taylor & Francis Journals, vol. 35(3), pages 269-283, July.
130. Jasmina Hasanhodzic & Laurence J. Kotlikoff, 2019. "Valuing Government Obligations When Markets Are Incomplete," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1815-1855, October.