direct multi-step estimation and forecasting - OFCE - Sciences Po
direct multi-step estimation and forecasting - OFCE - Sciences Po
direct multi-step estimation and forecasting - OFCE - Sciences Po
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Direct <strong>multi</strong>-<strong>step</strong> <strong>estimation</strong> <strong>and</strong> <strong>forecasting</strong><br />
Johnston, H. N., L. Klein, <strong>and</strong> K. Shinjo (1974). Estimation <strong>and</strong> prediction in dynamic econometric<br />
models. In W. Sellekaerts (Ed.), Essays in honor of Jan Tinbergen. London: Macmillan.<br />
Kabaila, P. V. (1981). Estimation based on one <strong>step</strong> ahead prediction versus <strong>estimation</strong> based<br />
on <strong>multi</strong>-<strong>step</strong> ahead prediction. Stochastics 6, 43–55.<br />
Klein, L. R. (1971). An essay on the theory of economic prediction. Chicago, IL: Markham.<br />
Lin, J. L. <strong>and</strong> R. S. Tsay (1996). Co-integration constraint <strong>and</strong> <strong>forecasting</strong>: An empirical examination.<br />
Journal of Applied Econometrics 11, 519–538.<br />
Liu, S. I. (1996). Model selection for <strong>multi</strong>period forecasts. Biometrika 83 (4), 861–873.<br />
Madrikakis, S. e. (1982). The accuracy of time series methods: the results from a <strong>forecasting</strong><br />
competition. Journal of Forecasting 1, 111–153.<br />
Mann, H. B. <strong>and</strong> A. Wald (1943). On the statistical treatment of linear stochastic difference<br />
equations. Econometrica 11, 173–220.<br />
Peña, D. (1994). Discussion: Second-generation time-series model, A comment. SeeTiao <strong>and</strong><br />
Tsay (1994), pp. 133–140.<br />
Schorfheide, F. (2003). VAR <strong>forecasting</strong> under local misspecification. Journal of Econometrics<br />
forhcoming.<br />
Shibata (1980). Asymptotically efficient selection of the order of the model for estimating parameters<br />
of a linear process. Annals of Statistics 8, 147–164.<br />
Stoica, P. <strong>and</strong> A. Nehorai (1989). On <strong>multi</strong>-<strong>step</strong> prediction errors methods for time series models.<br />
Journal of Forecasting 13, 109–131.<br />
Stoica, P. <strong>and</strong> Soderstrom (1984). Uniqueness of estimated k-<strong>step</strong> prediction models of ARMA<br />
processes. Systems <strong>and</strong> Control Letters 4, 325–331.<br />
Tiao, G. C. <strong>and</strong> R. S. Tsay (1994). Some advances in non-linear <strong>and</strong> adaptive modelling in<br />
time-series analysis. Journal of Forecasting 13, 109–131.<br />
Tiao, G. C. <strong>and</strong> D. Xu (1993). Robustness of maximum likelihood estimates for <strong>multi</strong>-<strong>step</strong><br />
predictions: the exponential smoothing case. Biometrika 80, 623–641.<br />
Tsay, R. S. (1993). Comment: Adpative <strong>forecasting</strong>. SeeChatfield (1993), pp. 140–142.<br />
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