Bianchi, Carlo and Calzolari, Giorgio (1983): Standard errors of forecasts in dynamic simulation of nonlinear econometric models: some empirical results. Published in: Time Series Analysis: Theory and Practice, ed. by O.D.Anderson No. Amsterdam: North Holland (1983): pp. 177198.
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Abstract
In nonlinear econometric models, the evaluation of forecast errors is usually performed, completely or partially, by resorting to stochastic simulation. However, for evaluating the specific contribution of errors in estimated structural coefficients, several alternative methods have been proposed in the literature. Three of these methods will be compared empirically in this paper through experiments performed on a set of "real world" econometric models of small, medium and large size. This work extends to dynamic simulation of nonlinear econometric models, for which the authors have recently analysed the oneperiod (static) forecast errors empirically.
Item Type:  MPRA Paper 

Original Title:  Standard errors of forecasts in dynamic simulation of nonlinear econometric models: some empirical results 
Language:  English 
Keywords:  Nonlinear econometric models; forecast; Monte Carlo; standard errors 
Subjects:  C  Mathematical and Quantitative Methods > C5  Econometric Modeling > C53  Forecasting and Prediction Methods ; Simulation Methods C  Mathematical and Quantitative Methods > C3  Multiple or Simultaneous Equation Models ; Multiple Variables > C30  General 
Item ID:  22657 
Depositing User:  Giorgio Calzolari 
Date Deposited:  17. May 2010 13:23 
Last Modified:  23. Mar 2015 15:34 
References:  AMEMIYA, T. (1977). The maximum likelihood and the nonlinear threestage least squares in the general nonlinear simultaneous equation model. Econometrica 45, 955968. BIANCHI, C. and CALZOLARI, G. (1980). The oneperiod forecast errors in nonlinear econometric models. International Economic Review 21, 201208. BIANCHI, C. and CALZOLARI, G. (1982). Evaluating forecast uncertainty due to errors in estimated coefficients: empirical comparison of alternative methods. In Evaluating the Reliability of MacroEconomic Models. Eds: G.C. Chow and P. Corsi, John Wiley, New York. 251277. BIANCHI, C., CALZOLARI, G. and CORSI, P. (1976). Divergences in the results of stochastic and deterministic simulation of an Italian non linear econometric model. In Simulation of Systems. Ed: L. Dekker, North Holland, Amsterdam, 653661. BIANCHI, C., CALZOLARI, G. and CORSI, P. (1981). Standard errors of multipliers and forecasts from structural coefficients with blockdiagonal covariance matrix. In Dynamic Modelling and Control of National Economies (IFAC). Eds: J.M.L.Janssen, L.F.Pau and A.Straszak, Pergamon Press, Oxford, 311316. BIANCHI, C., CALZOLARI, G. and SARTORI, F. (1982). Stime 2SLS con componenti principali di un modello non lineare dell'economia italiana. Note Economiche 2, 114137. BRUNDY, J.M. and JORGENSON, D.W. (1971). Efficient estimation of simultaneous equations by instrumental variables. The Review of Economics and Statistics 53, 207224. BRUNDY, J.M. and JORGENSON, D.W. (1974). The relative efficiency of instrumental variables estimators of systems of simultaneous equations. Annals of Economic and Social Measurement 3, 679700. CALZOLARI, G. (1979). Antithetic variates to estimate the simulation bias in nonlinear models. Economics Letters 4, 323328. CALZOLARI, G. (1981). A note on the variance of expost forecasts in econometric models, Econometrica 49, 15931595. CALZOLARI, G. and STERBENZ, F.P. (1982). Efficient computation of reduced form variances in nonlinear econometric models. (Unpublished paper). CONRAD, K. and KOHNERT, P. (1980). Economic activity, interest rates and the exchange rate in the Bonn forecasting system No. 10. Institut fuer Gesellschaftsund Wirtschaftswissenschaften der Universitaet Bonn. Wirtschaftstheoretische Abteilung, discussion paper No.107. COOPER, J.P. and FISHER, S. (1974). Monetary and fiscal policy in the fully stochastic St. Louis econometric model. Journal of Money. Credit, and Banking 6, 122. DHRYMES, P.J. (1970). EConometrics: Statistical Foundations and Applications. Harper & Row. New York. DHRYMES, P.J. (1973). Restricted and unrestricted reduced forms: asymptotic distribution and relative efficiency. Econometrica 41. 119134. FAIR, R.C. (1980). Estimating the expected predictive accuracy of econometric models. International Economic Review 21. 355378. FELDSTEIN, M.S. (1971). The error of forecast in econometric models when the forecastperiod exogenous variables are stochastic. Econometrica 39. 5560. GALLANT, A.R. (1977). Threestage leastsquares estimation for a system of simultaneous, nonlinear, implicit equations. Journal of Econometrics 5, 7188. GOLDEBERGER, A.S., NAGAR, A.L. and ODEH, H.S. (1961). The covariance matrices of reducedform coefficients and of forecasts for a structural econometric model. Econometrica 29, 556573. HAITOVSKY, Y. and WALLACE, N. (1972). A study of discretionary and nondiscretionary monetary and fiscal policies in the context of stochastic macroeconometric models. in The Business Cycle Today. Ed: V. Zarnowitz, NBER, New York, 261309. HAUSMAN, J.A. (1974). Full information instrumental variables estimation of simultaneous equations systems. Annals of Economic and Social Measurement 3, 641652. HENDRY, D.F. and HARRISON, R.W. (1974). Monte Carlo methodology and the small sample behaviour of ordinary and twostage least squares. Journal of Econometrics 2, 151174. KLEIN, L.R. (1950). Economic Fluctuations in the United States. 19211941. John Wiley. New York. Cowles Commission Monograph 11. KLEIN, L.R. (1974). A Textbook of Econometrics. PrenticeHall, Englewood Cliffs. KLEIN, L.R. and YOUNG, R.M. (1980). An Introduction to Econometric Forecasting and Forecasting Models. D.C.Heath and Company. Lexington, Massachusetts. KLEOK, T. and MENNES, L.B.M. (1960). Simultaneous equations estimation based on principal components of predetermined variables. Econometrica 28. 4561. KRELLE, W. (1976). Das Bonner Prognosemodell 10, Teil I, Institut fuer Gesellschaftsund Wirtschaftswissenschaften der Universitaet Bonn. Wirtschaftstheoretische Abteilung, discussion paper. MARIANO, R.S. (1980). Analytical small sample distribution theory in econometrics: the simultaneous equations case. Universite Catholique de Louvain, Center for Operations Research & Econometrics, discussion paper No.8026. MARIANO, R.S. and BROWN, B.W. (1980). Asymptotic behavior of predictors in a nonlinear simultaneous system. University of Pennsylvania, The Wharton School, Department of Economics, discussion paper No.410. MC CARTHY, M.D. (1972). A note on the forecasting properties of twostage least squares restricted reduced forms: the finite sample case. International Economic Review 13, 757761. MC CARTHY, M.D. (1981). Notes on the existence of moments of restricted reduced form estimates. University of Pennsylvania, discussion paper. MIKHAIL, W.M. (1972). Simulating the smallsample properties of econometric estimators. Journal of the American Statistical Association 67, 620624. RAO, C.R. (1973). Linear Statistical Inference and its Applications. John Wiley. New York. SARGAN, J.D. (1976). The existence of the moments of estimated reduced form coefficients. London School of Economics & Political Science, discussion paper A6. SARTORI, F. (1978). Caratteristiche e struttura del modello. In Un Modello Econometrico dell' Economia Italiana; Caratteristiche e Impiego. Ispequaderni 1, Roma, 936. SCHINK, G.R. (1971). Small sample estimates of the variance covariance matrix of forecast error for large econometric models: the stochastic simulation technique. University of Pennsylvania. Ph.D. dissertation. SCHMIDT, P. (1974). The asymptotic distribution of forecasts in the dynamic simulation of an econometric model. Econometrica 42, 303309. SCHMIDT, P. (1976). Econometrics. Marcel Dekker, New York. SCHMIDT, P. (1978). A note on dynamic simulation forecasts and stochastic forecastperiod exogenous variables. Econometrica 46, 12271230. THEIL, H. (1971). Principles of Econometrics. John Wiley, New York. 
URI:  https://mpra.ub.unimuenchen.de/id/eprint/22657 
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