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Using Adaptive Sparse Grids to Solve High‐Dimensional Dynamic Models

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Cited by:

  1. Andreas Lanz & Gregor Reich & Ole Wilms, 2022. "Adaptive grids for the estimation of dynamic models," Quantitative Marketing and Economics (QME), Springer, vol. 20(2), pages 179-238, June.
  2. Werner, Maximilian, 2023. "Occasionally binding liquidity constraints and macroeconomic dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
  3. Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021. "Deep Structural Estimation: With an Application to Option Pricing," Papers 2102.09209, arXiv.org.
  4. Philipp Renner & Karl Schmedders, 2020. "Discrete‐time dynamic principal–agent models: Contraction mapping theorem and computational treatment," Quantitative Economics, Econometric Society, vol. 11(4), pages 1215-1251, November.
  5. 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.
  6. Prateek Bansal & Vahid Keshavarzzadeh & Angelo Guevara & Shanjun Li & Ricardo A Daziano, 2022. "Designed quadrature to approximate integrals in maximum simulated likelihood estimation [Evaluating simulation-based approaches and multivariate quadrature on sparse grids in estimating multivariat," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 301-321.
  7. Duong Ngotran, 2016. "The E-Monetary Theory," 2016 Papers png175, Job Market Papers.
  8. Judd, Kenneth L. & Maliar, Lilia & Maliar, Serguei & Valero, Rafael, 2014. "Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 92-123.
  9. Cao, Dan & Evans, Martin & Lua, Wenlan, 2020. "Real Exchange Rate Dynamics Beyond Business Cycles," MPRA Paper 99054, University Library of Munich, Germany, revised 10 Mar 2020.
  10. 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.
  11. Yongyang Cai & Kenneth Judd & Jevgenijs Steinbuks, 2017. "A nonlinear certainty equivalent approximation method for dynamic stochastic problems," Quantitative Economics, Econometric Society, vol. 8(1), pages 117-147, March.
  12. Dan Cao & Wenlan Luo & Guangyu Nie, 2023. "Global GDSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 199-225, December.
  13. Ivan Rudik & Derek Lemoine & Maxwell Rosenthal, 2018. "General Bayesian Learning in Dynamic Stochastic Models: Estimating the Value of Science Policy," 2018 Meeting Papers 369, Society for Economic Dynamics.
  14. Yang Ming & Heng-fu Zou, 2024. "The Spirit of Capitalism, Entrepreneurship, and Talent Allocation," Annals of Economics and Finance, Society for AEF, vol. 25(1), pages 1-29, May.
  15. Kristensen, Dennis & Mogensen, Patrick K. & Moon, Jong Myun & Schjerning, Bertel, 2021. "Solving dynamic discrete choice models using smoothing and sieve methods," Journal of Econometrics, Elsevier, vol. 223(2), pages 328-360.
  16. Aryan Eftekhari & Simon Scheidegger, 2022. "High-Dimensional Dynamic Stochastic Model Representation," Papers 2202.06555, arXiv.org.
  17. Alexander W. Blocker & Laurence J. Kotlikoff & Stephen A. Ross & Sergio Villar Vallenas, 2019. "The True Cost of Social Security," Tax Policy and the Economy, University of Chicago Press, vol. 33(1), pages 131-163.
  18. Daniel Harenberg & Stefano Marelli & Bruno Sudret & Viktor Winschel, 2019. "Uncertainty quantification and global sensitivity analysis for economic models," Quantitative Economics, Econometric Society, vol. 10(1), pages 1-41, January.
  19. Victor Duarte & Diogo Duarte & Dejanir H. Silva, 2024. "Machine Learning for Continuous-Time Finance," CESifo Working Paper Series 10909, CESifo.
  20. Adrien Auclert & Bence Bardóczy & Matthew Rognlie & Ludwig Straub, 2021. "Using the Sequence‐Space Jacobian to Solve and Estimate Heterogeneous‐Agent Models," Econometrica, Econometric Society, vol. 89(5), pages 2375-2408, September.
  21. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2020. "Expected utility and catastrophic risk in a stochastic economy–climate model," Journal of Econometrics, Elsevier, vol. 214(1), pages 110-129.
  22. Philipp Renner & Simon Scheidegger, 2017. "Machine learning for dynamic incentive problems," Working Papers 203620397, Lancaster University Management School, Economics Department.
  23. Peter Schober & Julian Valentin & Dirk Pflüger, 2022. "Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 185-224, January.
  24. Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.
  25. Alexander Yu Morozov & Andrey A. Zhuravlev & Dmitry L. Reviznikov, 2021. "Sparse Grid Adaptive Interpolation in Problems of Modeling Dynamic Systems with Interval Parameters," Mathematics, MDPI, vol. 9(4), pages 1-17, February.
  26. Pascal, Julien, 2024. "Artificial neural networks to solve dynamic programming problems: A bias-corrected Monte Carlo operator," Journal of Economic Dynamics and Control, Elsevier, vol. 162(C).
  27. Marlon Azinovic & Jan v{Z}emliv{c}ka, 2023. "Economics-Inspired Neural Networks with Stabilizing Homotopies," Papers 2303.14802, arXiv.org.
  28. Marc Bourreau & Yutec Sun, 2022. "Competition and Quality: Evidence from the Entry of Mobile Network Service," Working Papers 22-04, NET Institute.
  29. 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.
  30. 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.
  31. Jasmina Hasanhodzic & Laurence J. Kotlikoff, 2017. "Valuing Government Obligations When Markets are Incomplete," NBER Working Papers 24092, National Bureau of Economic Research, Inc.
  32. Harrison, Richard & Waldron, Matt, 2021. "Optimal policy with occasionally binding constraints: piecewise linear solution methods," Bank of England working papers 911, Bank of England.
  33. Felix Kubler & Simon Scheidegger, 2018. "Self-justi ed equilibria: Existence and computation," 2018 Meeting Papers 694, Society for Economic Dynamics.
  34. Simon Scheidegger & Adrien Treccani, 2021. "Pricing American Options under High-Dimensional Models with Recursive Adaptive Sparse Expectations [Telling from Discrete Data Whether the Underlying Continuous-Time Model Is a Diffusion]," Journal of Financial Econometrics, Oxford University Press, vol. 19(2), pages 258-290.
  35. Yongyang Cai & Simon Scheidegger & Sevin Yeltekin & Philipp Renner & Kenneth Judd, 2017. "Optimal Dynamic Fiscal Policy with Endogenous Debt Limits," 2017 Meeting Papers 1543, Society for Economic Dynamics.
  36. Dennis, Richard, 2024. "Using a hyperbolic cross to solve non-linear macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
  37. Philipp Renner, 2020. "An augmented first-order approach for incentive problems," Working Papers 297498586, Lancaster University Management School, Economics Department.
  38. Miranda-Pinto, Jorge & Young, Eric R., 2019. "Comparing dynamic multisector models," Economics Letters, Elsevier, vol. 181(C), pages 28-32.
  39. 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.
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