The central issue in the application of econometric and time series analysis (ETS) to market response models is the model-building process. The author proposes a specification strategy for ETS modeling and applies it to the primary demand for beer in The Netherlands.
Get full access to this article
View all access options for this article.
References
1.
BassFrank M., and PilonThomas L. (1980), “A Stochastic Brand Choice Framework for Econometric Modeling of Time Series Market Share Behavior,”Journal of Marketing Research, 17(November), 486–97.
2.
BierensHerman J. (1987), “ARMAX Model Specification Testing, With an Application to Unemployment to The Netherlands,”Journal of Econometrics, 35(February), 161–90.
3.
BierensHerman J. (1988), “ARMAX Models: Estimation and Testing,” Research Memorandum 1988–64, Free University Amsterdam, The Netherlands.
4.
BourgeoisJacques C., and BarnesJames G. (1979), “Does Advertising Increase Alcohol Consumption?”Journal of Advertising Research, 4(August), 19–29.
5.
BroersmaLourens, and FransesPhilip Hans (1990), “The Use of Dummy Variables in Consumption Models,”Econometric Reviews, 9, 109–16.
6.
ClarkeDarral G. (1976), “Econometric Measurement of the Duration of Advertising Effect on Sales,”Journal of Marketing Research, 13(November), 345–57.
7.
EngleRobert F. (1982), “Autoregressive Conditional Heteroscedasticity With Estimates of the Variance of U.K. Inflation,”Econometrica, 50(July), 987–1007.
8.
FrankeGeorge R., and WilcoxGary B. (1987), “Alcoholic Beverage Advertising and Consumption in the United States, 1964–1984,”Journal of Advertising, 16, 22–30.
9.
FransesPhilip Hans (1989), “The Distance Between Regression Models and Its Impact on Model Selection,”Applied Mathematics and Computation, 34(November), 1–16.
10.
HanssensDominique M. (1980), “Market Response, Competitive Behavior, and Time Series Analysis,”Journal of Marketing Research, 17(November), 470–85.
11.
HanssensDominique M., ParsonsLeonard J., and SchultzRandall L. (1990), Market Response Models: Econometric and Time Series Analysis.Boston: Kluwer Academic Publishers.
12.
HaughLarry D., and BoxGeorge E. P. (1977), “Identification of Dynamic Regression (Distributed Lag) Models Connecting Two Time Series,”Journal of the American Statistical Association, 72(March), 121–30.
13.
HelmerRichard M., and JohanssonJohny K. (1977), “An Exposition of the Box-Jenkins Transfer Analysis With an Application to the Advertising-Sales Relationship,”Journal of Marketing Research, 14(May), 227–39.
14.
HyllebergSvend, and MizonGrayham E. (1989), “A Note on the Distribution of the Least Squares Estimator of a Random Walk With Drift,”Economics Letters, 29, 225–30.
15.
KieferNicholas M., and SalmonMark (1983), “Testing Normality in Econometric Models,”Economics Letters, 11, 123–7.
16.
LeeflangPeter S. H., and Van DuijnJacob J. (1982), “The Use of Regional Data in Marketing Models: The Demand for Beer in The Netherlands,”European Research, 10(January), 2–9.
17.
LeoneRobert P. (1983), “Modeling Sales-Advertising Relationships: An Integrated Time Series-Econometric Approach,”Journal of Marketing Research, 20(August), 291–5.
18.
LiuLon-Mu, and HanssensDominique M. (1982), “Identification of Multiple-Input Transfer Function Models,”Communications in Statistics, Theory and Methods, 11, 297–314.
19.
LütkepohlHelmut (1982), “Non-causality Due to Omitted Variables,”Journal of Econometrics, 19, 367–78.
20.
PierceDavid A. (1977), “Relationships—and the Lack Thereof—Between Economic Time Series, With a Special Reference to Money and Interest Rates,”Journal of the American Statistical Association, 72(March), 11–26.
21.
SimsChristopher (1977), “Comment,”Journal of the American Statistical Association, 72(March), 23–4.