Forecasting South African Macroeconomic Data with a Nonlinear DSGE Model
This paper considers the forecasting performance of a nonlinear dynamic stochastic general equilibrium (DSGE) model. The results are compared to a wide selection of competing models, which include a linear DSGE model and a variety of vector autoregressive (VAR) models. The parameters in the VAR models are estimated with classical and Bayesian techniques; where some of the Bayesian models are augmented with stochastic-variable-selection, time-varying parameters, endogenous structural breaks and various forms of prior-shrinkage (which includes the Minnesota prior as well). The structure of the DSGE models follows that of New-Keynesian varieties, which allow for several nominal and real rigidities. The nonlinear DSGE model makes use of the second-order solution method of Schmitt-Grohe and Uribe (2004) and a particle filter to generate values for the unobserved variables. Most of the parameters in the models are estimated using maximum likelihood techniques. The models are applied to South African macroeconomic data, with an initial in-sample period of 1960Q1 to 1999Q4. The models are then estimated recursively, by extending the in-sample period by a quarter, to generate successive forecasts over the out-of-sample period, 2000Q1 to 2011Q4. We find that the forecasting performance of the nonlinear DSGE model is almost always significantly superior to that of it's linear counterpart; particularly over longer forecasting horizons. The nonlinear DSGE model also outperforms the selection of VAR models in most cases.
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- Mr Steinbach & Pt Mathuloe & Bw Smit, 2009. "An Open Economy New Keynesian Dsge Model Of The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 77(2), pages 207-227, 06.
- Litterman, Robert B, 1986.
"Forecasting with Bayesian Vector Autoregressions-Five Years of Experience,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 4(1), pages 25-38, January.
- Robert B. Litterman, 1985. "Forecasting with Bayesian vector autoregressions five years of experience," Working Papers 274, Federal Reserve Bank of Minneapolis.
- Koop, Gary & Korobilis, Dimitris, 2009.
"Bayesian Multivariate Time Series Methods for Empirical Macroeconomics,"
20125, University Library of Munich, Germany.
- Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
- Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper Series 47_09, The Rimini Centre for Economic Analysis, revised Jan 2009.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2010.
"A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 25(4), pages 720-754.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2008. "A Comparison Of Forecast Performance Between Federal Reserve Staff Forecasts, Simple Reduced-Form Models, And A Dsge Model," CAMA Working Papers 2009-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Rangan Gupta & Alain Kabundi, 2010.
"Forecasting macroeconomic variables in a small open economy: a comparison between small- and large-scale models,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 29(1-2), pages 168-185.
- Rangan Gupta & Alain Kabundi, 2008. "Forecasting Macroeconomic Variables in a Small Open Economy: A Comparison between Small- and Large-Scale Models," Working Papers 200830, University of Pretoria, Department of Economics.
- KOROBILIS, Dimitris, 2011.
"VAR forecasting using Bayesian variable selection,"
CORE Discussion Papers
2011022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Korobilis, Dimitris, 2009. "VAR forecasting using Bayesian variable selection," MPRA Paper 21124, University Library of Munich, Germany.
- Dimitris Korobilis, 2010. "VAR Forecasting Using Bayesian Variable Selection," Working Paper Series 51_10, The Rimini Centre for Economic Analysis, revised Apr 2011.
- Sami Alpanda & Kevin Kotze & Geoffrey Woglom, 2010. "Should Central Banks of Small Open Economies Respond to Exchange Rate Fluctuations? The Case of South Africa," Working Papers 174, Economic Research Southern Africa.
- Diebold, Francis X & Mariano, Roberto S, 1995.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 13(3), pages 253-63, July.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Tom Doan, . "DMARIANO: RATS procedure to compute Diebold-Mariano Forecast Comparison Test," Statistical Software Components RTS00055, Boston College Department of Economics.
- Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September.
- Julio J. Rotemberg, 1982. "Monopolistic Price Adjustment and Aggregate Output," Review of Economic Studies, Oxford University Press, vol. 49(4), pages 517-531.
- Sami Alpanda & Kevin Kotzé & Geoffrey Woglom, 2011. "Forecasting Performance Of An Estimated Dsge Model For The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 79(1), pages 50-67, 03.
- Pichler Paul, 2008. "Forecasting with DSGE Models: The Role of Nonlinearities," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-35, July.
- Jared Laxton & Igor Ermolaev & Charles Freedman & Ondrej Kamenik & Michel Juillard & Douglas Laxton & Ioan Carabenciov & Dmitry Korshunov, 2008. "A Small Quarterly Multi-Country Projection Model," IMF Working Papers 08/279, International Monetary Fund.
- Tovar, Camilo Ernesto, 2008.
"DSGE Models and Central Banks,"
Economics Discussion Papers
2008-30, Kiel Institute for the World Economy (IfW).
- Tovar, Camilo Ernesto, 2009. "DSGE Models and Central Banks," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 3, pages 1-31.
- Ratto, Marco & Roeger, Werner & Veld, Jan in 't, 2009. "QUEST III: An estimated open-economy DSGE model of the euro area with fiscal and monetary policy," Economic Modelling, Elsevier, vol. 26(1), pages 222-233, January.
- Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, June.
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