패널자료를 이용한 가격인상에 따른 판매량의 동적변화 추정 및 예측

Estimation and Forecasting of Dynamic Effects of Price Increase on Sales Using Panel Data

  • 발행 : 2006.06.01

초록

Estimating the effects of price increase on a company's sales is important task faced by managers. If consumer has prior information on price increase or expects it, there would be stockpiling and subsequent drops in sales. In addition, consumer can suppress demand in the short run. These factors make the sales dynamic and unstable. In this paper we develop a time series model to evaluate the sales patterns with stockpiling and short-term suppression of demand and also propose a forecasting procedure. For estimation, we use panel data and extend the model to Bayesian hierarchical structure. By borrowing strength across cross-sectional units, this estimation scheme gives more robust and reasonable result than one from the individual estimation. Furthermore, the proposed scheme yields improved predictive power in the forecasting of hold-out sample periods.

키워드

참고문헌

  1. Baltagi, B.H., Econometric Analysis of Panel Data, Wiley, New York, 2001
  2. Brooks, S.P. and A. Gelman, 'Alternative Methods for Monitoring Convergence of Iterative Simulations,' Journal of Computational and Graphical Statistics, Vol.7(1998), pp.434-455 https://doi.org/10.2307/1390675
  3. Congdon, P., Applied Bayesian Modelling, Wiley, New York, 2003
  4. De Finetti, B., Foresight:Its Logical Laws, its Subjective Sources, Studies in Subjective Probability, Wiley, New York, 1964
  5. Doyle, P. and J. Saunders, 'The Lead Effect of Marketing Decisions,' Journal of Marketing Research, Vol.22(1985), pp.54-65 https://doi.org/10.2307/3151550
  6. Engle, R.F. and H. White, Cointegration, Causality and Forecasting, Oxford University Press, Oxford, 1999
  7. Gelfand, A. and S. Sahu, 'Identifiability, Improper Priors ans Gibbs Sampling for Generalized Linear Models,' Journal of American Statistical Association, Vol.94(1999), pp.247-253 https://doi.org/10.2307/2669699
  8. Greene, W.H., Econometric Analysis, Prentice Hall, Upper Saddle River, 2003
  9. Leone, R.P., 'Forecasting the Effect of an Environmental Change on Market Performance,' International Journal of Forecasting, Vol.3(1987), pp.463-478 https://doi.org/10.1016/0169-2070(87)90043-4
  10. Lindley, D.V. and A.F.M. Smith, 'Bayes Estimates for the Linear Model and Discussions,' Journal of the Royal Statistical Society B, Vol. 34(1972), pp.1-41
  11. Mela, C.F., K. Jedidi, and D. Bowman, 'The Long-term Impact of Promotions on Consumer Stockpiling Behavior,' Journal of Marketing Research, Vol.35(1998), pp.250- 262 https://doi.org/10.2307/3151852
  12. Neslin, S.A., 'Sales Promotion,' in Handhook of Marketing edited by Weitz, B. Wensley, R., Sage Publication, London, 2002
  13. Thompson, P. and N. Thomas, 'Estimating the Effects of Consumer Incentive Programs on Domestic Automobile Sales,' Journal of Business & Economic Statistics, Vol.10(1992), pp.409-417 https://doi.org/10.2307/1391816
  14. Van Heerde, H.J., P.S.H. Leeflang, and D.R. Wittink, 'The estimation of pre- and Postpromotion Dips with Store-scanner Data,' Journal of Marketing Research, Vol.37(2000), pp.383-395 https://doi.org/10.1509/jmkr.37.3.383.18782