Statistics and econometric models
In: International journal of forecasting, Band 12, Heft 4, S. 561-562
ISSN: 0169-2070
9176 Ergebnisse
Sortierung:
In: International journal of forecasting, Band 12, Heft 4, S. 561-562
ISSN: 0169-2070
In: International journal of forecasting, Band 3, Heft 2, S. 343-344
ISSN: 0169-2070
In: Journal of development economics, Band 1, Heft 4, S. 337-358
ISSN: 0304-3878
In: CEPAL review, Band 1990, Heft 41, S. 193-198
ISSN: 1684-0348
In: Econometrics in the information age: theory and practice of measurement Vol. 6
"This book presents Professor Lawrence R Klein and his group's last quarterly econometric model of the United States economy that they had produced at the University of Pennsylvania. This is the last econometric model that Lawrence Klein and his disciples have left after some 50 years of cumulated efforts of constructing the US economy model up to around 2000. It was widely known as the WEFA Econometric Model Mark 10, and is the culmination of Professor Klein's research which spans more than 70 years, and would please not only Professor Klein's old students and colleagues, but also younger students who have heard so much of Klein models but have yet to see the latest model in its complete and printed form."--
In: Tinbergen institute research series 184
In: The Economic Journal, Band 83, Heft 332, S. 1303
In: The Canadian Journal of Economics, Band 2, Heft 1, S. 162
In: Economics of planning: an international journal devoted to the study of comparative economics, planning and development, Band 5, Heft 3, S. 30-43
ISSN: 1573-0808
In: Advanced texts in econometrics
In: Political analysis: PA ; the official journal of the Society for Political Methodology and the Political Methodology Section of the American Political Science Association, Band 3, S. 123-154
ISSN: 1476-4989
This article addresses the lack of cohesion in econometric model building. This incoherence contributes to model building based on statistical criteria—correcting residuals—and not theoretical criteria. The models we build, therefore, are not valid replications of theory. To deal with this problem, an agenda for model building is outlined and discussed. Drawing on the methodological approaches of Hendry, Qin, and Favero (1989), Hendry and Richard (1982, 1983), Sargan (1964), and Spanos (1986), this agenda incorporates a "general to simple" modeling philosophy, a battery of diagnostic tests, reduction theory, and the development of models that include short-term and long-term parameters. A comparison is made between a model based on this agenda and a model based on corrected residuals. The findings show that the agenda-based model outperforms the residual correction model.