Validation of stochastic models: Some perspectives
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The focus of the paper is the process of model validation. The discussion illustrates some problems encountered in validating stochastic models, with special reference to market behavior models. A brief discussion of some important dimensions of model validation are presented. The discussion focuses on the role of simulation to generate sample universes for realistic output validation (both at micro and macro levels) of a stochastic model. Also, some light is shed upon two neglected aspects of model validation, experimentation to test the realism of a model's policy implications and a comparative evaluation with existing models. It is hoped for that the article has raised some important issues for the attention of a serious model builder.
KeywordsStochastic Model Consumer Behavior Macro Level Pseudo Random Number Brand Loyalty
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- Aaker, David A. “The New Trier Stochastic Model of Brand Choice,” Working paper No. 50, Berkeley: Institute of Business and Economic Research, University of California, 1969.Google Scholar
- Friedman, Milton. Essays in Positive Economics. Chicago: University of Chicago Press, 1953.Google Scholar
- Herniter, Jerome and Victor Cook. “A Short Description of the NOMMAD Simulation of Customer Behavior.” Marketing Science Institute Publication (September), 1970.Google Scholar
- Jones, J. Morgan. “Dual-Effects Model of Brand Choice,” Journal of Marketing Research (November), 1970, pp. 458–65.Google Scholar
- Massy, William F., Donald G. Morrison and David B. Montgomery, Stochastic Models of Buying Behavior. Cambridge: The M.I.T. Press, 1970.Google Scholar
- Naylor, Thomas H. (ed.) Computer Simulation Experiments With Models of Economic Systems. New York: John Wiley & Sons, Inc., 1971.Google Scholar
- Rao, Tanniru R. “Computer Simulation of a Model of Market Behavior.” Proceedings of the Fall Conference of the American Marketing Association (August), 1971.Google Scholar
- Siegel, Sidney. Nonparametric Statistics. New York: McGraw-Hill, 1956.Google Scholar
- Theil, Henry. Economic Forecasts and Policy. Amsterdam: North-Holland Publishing Company, 1961.Google Scholar
- Theil, Henry. Applied Economic Forecasting. Chicago: Rand McNally, 1964.Google Scholar
- Wertz, Kenneth and Thomas Wonnacott. “Spectral Analysis of Data Generated by Simulation Experiments with Econometric Models.” Econometrica, 37 (April), 1969, p. 333–52.Google Scholar