Validation of a dynamic econometric marketing model requires that the time series data simulated be equivalent to observed data from a comparable period. Spectral analysis is presented as an equivalence-testing technique which does not have the theoretical limitations of a simple regression approach.
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References
1.
BassFrank M. and ParsonsLeonard J. “Simultaneous-Equation Regression Analysis of Sales and Advertising,” Applied Economics, 1 (May 1969), 103–24.
2.
CohenKalman J.Computer Models of the Shoe, Leather, Hide Sequence.Englewood Cliffs, N.J.: Prentice-Hall, 1960.
3.
DixonW. J., ed. Biomedical Computer Programs.Berkeley. University of California Press, 1970.
4.
FarleyJohn U. and HinichMelvin J. “On Methods: Spectral Analysis,” Journal of Advertising Research, 9 (December 1969), 47–50.
5.
FarleyJohn U. “Marketing Applications of Spectral Analysis,” Proceedings. Fall Conference, American Marketing Association, 1969, 153–9.
6.
FishmanGeorge. Spectral Methods in Econometrics.Cambridge: Harvard University Press, 1969.
7.
GrangerC. W. J. and HatanakaM.Spectral Analysis of Economic Time Series.Princeton: Princeton University Press, 1964.
8.
GujaratiDamodar. “Use of Dummy Variables in Testing for Equality between Sets of Coefficients in Two Linear Regressions: A Note,” The American Statistician, 24 (February 1970), 50–2.
9.
NaylorThomas H., WallaceWilliam H., and SasserW. Earl. “A Computer Simulation Model of the Textile Industry,” Journal of the American Statistical Association, 62 (December 1967), 1338–62.
10.
NaylorThomas H., WertzKenneth, and WonnacottThomas H. “Spectral Analysis of Data Generated by Simulation Experiments with Econometric Models,” Econometrica, 37 (April 1969), 333–52.
ParsonsLeonard J. and BassFrank M. “Optimal Advertising Expenditure Implications of a Simultaneous-Equation Regression Analysis,” Operations Research, 19 (May–June 1971), 822–31.
