Lower Bounds on Approximation Errors: Testing the Hypothesis That a Numerical Solution Is Accurate?
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- Fernández-Villaverde, J. & Rubio-RamÃrez, J.F. & Schorfheide, F., 2016.
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- Jesus Fernandez-Villaverde & Juan Rubio-RamÃrez & Frank Schorfheide, 2015. "Solution and Estimation Methods for DSGE Models," PIER Working Paper Archive 15-042, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2015.
- Jesús Fernández-Villaverde & Juan F. Rubio Ramírez & Frank Schorfheide, 2016. "Solution and Estimation Methods for DSGE Models," NBER Working Papers 21862, National Bureau of Economic Research, Inc.
- Rubio-RamÃrez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
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More about this item
Keywords
approximation errors; best case scenario; error bounds; Euler equation residuals; accuracy; numerical solution; algorithm; new Keynesian model;All these keywords.
JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2014-09-25 (Computational Economics)
- NEP-MAC-2014-09-25 (Macroeconomics)
Statistics
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