Abstract
This paper deals with testing a proferred econometric model in order to determine if it provides an adequate explanation of a dynamic process in an actual economy. The relevance of this topic to the general theme of the International Summer School on Mathematical Systems Theory and Economics derives from the fact that economic science will gain little from the analysis and optimization of dynamic models unless it can be established that these models provide at least a first order approximation to real world data.
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References
Goldberger, A.S., Econometric Theory, John Wiley & Sons, New York, 1964
Hillinger, C., “An Econometric Model of Mild Business Cycles”, The Manchester School. Sept. 1966, pp. 269-284.
Johnston, J., Econometric Methods, McGraw-Hill, New York, 1963.
Malinvaud, E., Statistical Methods of Econometrics, Rand McNally, Chicago, 1966.
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© 1969 Springer-Verlag Berlin Heidelberg
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Hillinger, C. (1969). Testing Econometric Models by Means of Time Series Analysis. In: Kuhn, H.W., Szegö, G.P. (eds) Mathematical Systems Theory and Economics I / II. Lecture Notes in Operations Research and Mathematical Economics, vol 11/12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46196-5_24
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DOI: https://doi.org/10.1007/978-3-642-46196-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-04635-6
Online ISBN: 978-3-642-46196-5
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