Bootstrapping Macroeconometric Models
AbstractThis paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric models. It integrates for dynamic, nonlinear, simultaneous equation models the bootstrapping approach to evaluating estimators initiated by Efron (1979) and the stochastic simulation approach to evaluating models' properties initiated by Adelman and Adelman (1959). It also estimates for a particular model the gain in coverage accuracy from using bootstrap confidence intervals over asymptotic confidence intervals.
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Bibliographic InfoPaper provided by Cowles Foundation for Research in Economics, Yale University in its series Cowles Foundation Discussion Papers with number 1345.
Length: 30 pages
Date of creation: Dec 2001
Date of revision: Jun 2003
Publication status: Published in Studies in Nonlinear Dynamics and Econometrics, Vol. 7, No. 4, Article 1
Note: CFP 1195.
Contact details of provider:
Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA
Phone: (203) 432-3702
Fax: (203) 432-6167
Web page: http://cowles.econ.yale.edu/
More information through EDIRC
Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
Other versions of this item:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Fair, Ray C, 1993. "Testing the Rational Expectations Hypothesis in Macroeconometric Models," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 169-90, April.
- Jeremy Berkowitz & Lutz Kilian, 1996.
"Recent developments in bootstrapping time series,"
Finance and Economics Discussion Series
96-45, Board of Governors of the Federal Reserve System (U.S.).
- David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
- Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
- Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
- Hall, Peter & Horowitz, Joel L, 1996. "Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators," Econometrica, Econometric Society, vol. 64(4), pages 891-916, July.
- repec:sae:niesru:v:164:y::i:1:p:90-99 is not listed on IDEAS
- Calzolari, Giorgio & Corsi, Paolo, 1977. "Stochastic simulation as a validation tool for econometric models," MPRA Paper 21226, University Library of Munich, Germany.
- Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454, October.
- Donald W.K. Andrews & Werner Ploberger, 1992.
"Optimal Tests When a Nuisance Parameter Is Present Only Under the Alternative,"
Cowles Foundation Discussion Papers
1015, Cowles Foundation for Research in Economics, Yale University.
- Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
- T. Muench & A. Rolnick & N. Wallace, 1974. "Tests for Structural Change and Prediction Intervals for the reduced Forms of Two Structural Models of the U.S.: THe FRB-MIT and Michigan Quarterly Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 3, pages 45-74 National Bureau of Economic Research, Inc.
- Yoel Haitovsky & Neil Wallace, 1972. "A Study Of Discretionary And Nondiscretionary Monetary And Fiscal Policies In The Context Of Stochastic Macroeconometric Models," NBER Chapters, in: Economic Research: Retrospect and Prospect Vol 1: The Business Cycle Today, pages 261-310 National Bureau of Economic Research, Inc.
- Brown, Bryan W & Mariano, Roberto S, 1984. "Residual-Based Procedures for Prediction and Estimation in a Nonlinear Simultaneous System," Econometrica, Econometric Society, vol. 52(2), pages 321-43, March.
- Joel L. Horowitz, 1996. "Bootstrap Methods in Econometrics: Theory and Numerical Performance," Econometrics 9602009, EconWPA, revised 05 Mar 1996.
- Ray C. Fair, 1978.
"Estimating the Expected Predictive Accuracy of Econometric Models,"
Cowles Foundation Discussion Papers
480, Cowles Foundation for Research in Economics, Yale University.
- Fair, Ray C, 1980. "Estimating the Expected Predictive Accuracy of Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 355-78, June.
- repec:wop:humbsf:2001-59 is not listed on IDEAS
- Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1976. "Divergences in the results of stochastic and deterministic simulation of an Italian non linear econometric model," MPRA Paper 21287, University Library of Munich, Germany.
- Härdle, Wolfgang & Horowitz, Joel L. & Kreiss, Jens-Peter, 2001. "Bootstrap methods for time series," SFB 373 Discussion Papers 2001,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Ray C. Fair & John B. Taylor, 1980.
"Solution and Maximum Likelihood Estimation of Dynamic Nonlinear RationalExpectations Models,"
NBER Technical Working Papers
0005, National Bureau of Economic Research, Inc.
- Fair, Ray C & Taylor, John B, 1983. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 51(4), pages 1169-85, July.
- Ray C. Fair & John B. Taylor, 1980. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models," Cowles Foundation Discussion Papers 564, Cowles Foundation for Research in Economics, Yale University.
- Michael K. Evans & Lawrence R. Klein & Mitsuo Saito & Michael D. McCarthy, 1972. "Short-Run Prediction And Long-Run Simulation Of The Wharton Model," NBER Chapters, in: Econometric Models of Cyclical Behavior, Vols. 1 and 2, pages 139-200 National Bureau of Economic Research, Inc.
- Debby Lanser & Henk Kranendonk, 2008. "Investigating uncertainty in macroeconomic forecasts by stochastic simulation," CPB Discussion Paper 112, CPB Netherlands Bureau for Economic Policy Analysis.
- Dag Kolsrud, 2008. "Stochastic Ceteris Paribus Simulations," Computational Economics, Society for Computational Economics, vol. 31(1), pages 21-43, February.
- Bhattacharjee, Arnab & Jensen-Butler, Chris, 2013. "Estimation of the spatial weights matrix under structural constraints," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 617-634.
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