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Merging simulation and projection approaches to solve high‐dimensional problems with an application to a new Keynesian model

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Cited by:

  1. Yasuo Hirose & Takeki Sunakawa, 2016. "Parameter Bias in an Estimated DSGE Model," Working Papers halshs-01661908, HAL.
  2. Alisdair McKay & Ricardo Reis, 2021. "Optimal Automatic Stabilizers [Consumption versus Expenditure]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(5), pages 2375-2406.
  3. 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.
  4. Arellano, Cristina & Maliar, Lilia & Maliar, Serguei & Tsyrennikov, Viktor, 2016. "Envelope condition method with an application to default risk models," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 436-459.
  5. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
  6. Aruoba, S. Borağan & Bocola, Luigi & Schorfheide, Frank, 2017. "Assessing DSGE model nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 34-54.
  7. Philip Coyle & Taisuke Nakata, 2020. "Optimal Inflation Target with Expectations-Driven Liquidity Traps," CARF F-Series CARF-F-485, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  8. S Borağan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2018. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 87-118.
  9. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 96-120, July.
  10. Kanazawa, Nobuyuki, 2020. "Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks," Journal of Macroeconomics, Elsevier, vol. 64(C).
  11. Julien Albertini & Valentin Jouvanceau & Stéphane Moyen, 2022. "State-Contingent Forward Guidance," Working Papers 2205, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  12. Nakata, Taisuke & Ogaki, Ryota & Schmidt, Sebastian & Yoo, Paul, 2019. "Attenuating the forward guidance puzzle: Implications for optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 90-106.
  13. McKay, Alisdair, 2017. "Time-varying idiosyncratic risk and aggregate consumption dynamics," Journal of Monetary Economics, Elsevier, vol. 88(C), pages 1-14.
  14. Julien Albertini & Stéphane Moyen, 2024. "A General and Efficient Method for Solving Regime-Switching DSGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3645-3682, December.
  15. Andrew Binning & Junior Maih, 2016. "Implementing the Zero Lower Bound in an Estimated Regime-Switching DSGE Model," Working Papers No 3/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  16. Howard Kung & Gonzalo Morales & Alexandre Corhay, 2017. "Fiscal Discount Rates and Debt Maturity," 2017 Meeting Papers 840, Society for Economic Dynamics.
  17. Gauti Eggertsson & Sergey Egiev & Alessandro Lin & Josef Platzer & Luca Riva, 2021. "A Toolkit for Solving Models with a Lower Bound on Interest Rates of Stochastic Duration," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 121-173, July.
  18. Hills, Timothy S. & Nakata, Taisuke & Schmidt, Sebastian, 2019. "Effective lower bound risk," European Economic Review, Elsevier, vol. 120(C).
  19. Taisuke Nakata & Sebastian Schmidt & Paul Yoo, 2018. "Speed Limit Policy and Liquidity Traps," IMES Discussion Paper Series 18-E-06, Institute for Monetary and Economic Studies, Bank of Japan.
  20. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2017. "Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models," Econometrica, Econometric Society, vol. 85, pages 991-1012, May.
  21. Richter, Alexander W. & Throckmorton, Nathaniel A., 2016. "Is Rotemberg pricing justified by macro data?," Economics Letters, Elsevier, vol. 149(C), pages 44-48.
  22. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
  23. Yasuo Hirose & Takeki Sunakawa, 2019. "Review of Solution and Estimation Methods for Nonlinear Dynamic Stochastic General Equilibrium Models with the Zero Lower Bound," The Japanese Economic Review, Springer, vol. 70(1), pages 51-104, March.
  24. Adams, Jonathan J. & Barrett, Philip, 2021. "Why are countries’ asset portfolios exposed to nominal exchange rates?," Journal of International Money and Finance, Elsevier, vol. 110(C).
  25. Mutschler, Willi, 2018. "Higher-order statistics for DSGE models," Econometrics and Statistics, Elsevier, vol. 6(C), pages 44-56.
  26. Serguei Maliar & John Taylor & Lilia Maliar, 2016. "The Impact of Alternative Transitions to Normalized Monetary Policy," 2016 Meeting Papers 794, Society for Economic Dynamics.
  27. Aldrich Eric Mark & Kung Howard, 2021. "Computational Methods for Production-Based Asset Pricing Models with Recursive Utility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-26, February.
  28. Lepetyuk, Vadym & Maliar, Lilia & Maliar, Serguei, 2020. "When the U.S. catches a cold, Canada sneezes: A lower-bound tale told by deep learning," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
  29. Sandra Daudignon & Oreste Tristani, 2022. "Monetary policy and the drifting natural rate of interest," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 22/1057, Ghent University, Faculty of Economics and Business Administration.
  30. Cheng Chou & Geert Ridder & Ruoyao Shi, 2024. "Identification and Estimation of Nonstationary Dynamic Binary Choice Models," Working Papers 202402, University of California at Riverside, Department of Economics.
  31. Taisuke Nakata, 2017. "Uncertainty at the Zero Lower Bound," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 186-221, July.
  32. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 96-120, July.
  33. Gordon, Grey, 2021. "Efficient VAR discretization," Economics Letters, Elsevier, vol. 204(C).
  34. Cars Hommes & Domenico Massaro & Isabelle Salle, 2019. "Monetary And Fiscal Policy Design At The Zero Lower Bound: Evidence From The Lab," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 1120-1140, April.
  35. Schmidt, Sebastian & Nakata, Taisuke & Hills, Timothy, 2016. "The risky steady state and the interest rate lower bound," Working Paper Series 1913, European Central Bank.
  36. Vadym Lepetyuk & Lilia Maliar & Serguei Maliar, 2017. "Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models?," Staff Working Papers 17-21, Bank of Canada.
  37. Timothy Hills & Taisuke Nakata & Takeki Sunakawa, 2021. "A Promised Value Approach to Optimal Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 176-198, February.
  38. Miftakhova, Alena & Judd, Kenneth L. & Lontzek, Thomas S. & Schmedders, Karl, 2020. "Statistical approximation of high-dimensional climate models," Journal of Econometrics, Elsevier, vol. 214(1), pages 67-80.
  39. Marlon Azinovic & Luca Gaegauf & Simon Scheidegger, 2022. "Deep Equilibrium Nets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1471-1525, November.
  40. Karmakar, Sudipto & Lima, Diogo, 2023. "Global capital flows and the role of macroprudential policy," Journal of Financial Stability, Elsevier, vol. 67(C).
  41. Skavysh, Vladimir & Priazhkina, Sofia & Guala, Diego & Bromley, Thomas R., 2023. "Quantum monte carlo for economics: Stress testing and macroeconomic deep learning," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
  42. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
  43. Paul Grieco & Hongsong Zhang & Shengyu Li, 2018. "Input Prices, Productivity and Trade Dynamics: Long-run Effects of Liberalization on Chinese Paint Manufactures," 2018 Meeting Papers 874, Society for Economic Dynamics.
  44. Eric Ghysels & Jack Morgan, 2024. "On Quantum Ambiguity and Potential Exponential Computational Speed-Ups to Solving Dynamic Asset Pricing Models," Papers 2405.01479, arXiv.org, revised May 2024.
  45. Andrew Binning & Junior Maih, 2016. "Forecast uncertainty in the neighborhood of the effective lower bound: How much asymmetry should we expect?," Working Paper 2016/13, Norges Bank.
  46. Vladimir Skavysh & Sofia Priazhkina & Diego Guala & Thomas Bromley, 2022. "Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning," Staff Working Papers 22-29, Bank of Canada.
  47. Maliar, Lilia & Maliar, Serguei & Winant, Pablo, 2021. "Deep learning for solving dynamic economic models," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 76-101.
  48. Jonathan J Adams & Philip Barrett, 2017. "Resolving International Macro Puzzles with Imperfect Risk Sharing and Global Solution Methods," Working Papers 001003, University of Florida, Department of Economics.
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