Adstock revisited

References

• Aurier, P., and A. Broz-Giroux. 2014. “Modeling Advertising Impact at Campaign Level: Empirical Generalizations Relative to Long-Term Advertising Profit Contribution and Its Antecedents.” Marketing Letters 25 (2): 193–206. https://doi.org/10.1007/s11002-013-9252-3.
   Web of Science ®Google Scholar
• Baghestani, H. 1991. “Cointegration Analysis of the Advertising-Sales Relationship.” The Journal of Industrial Economics 39 (6): 671–682. https://doi.org/10.2307/2098669.
   Web of Science ®Google Scholar
• Beltran-Royo, C., L. F. Escudero, and H. Zhang. 2016. “Multiperiod Multiproduct Advertising Budgeting: Stochastic Optimization Modeling.” Omega – International Journal of Management Science 59 (March 2016): 26–39. https://doi.org/10.1016/j.omega.2015.02.013.
   Google Scholar
• Broadbent, S. S. 1979. “One Way TV Advertisements Work.” Journal of the Market Research Society 21 (3): 139–166.
   Google Scholar
• Broadbent, S. S. 1984. “Modeling with Adstock.” Journal of the Market Research Society 26 (4): 295–312.
   Google Scholar
• Cleeren, K., M. G. Dekimpe, and K. Helsen. 2008. “Weathering Product-Harm Crises.” Journal of the Academy of Marketing Science 36 (2): 262–270. https://doi.org/10.1007/s11747-007-0022-8.
   Web of Science ®Google Scholar
• Danaher, P. J., A. Bonfrer, and S. Dhar. 2008. “The Effect of Competitive Advertising Interference on Sales for Packaged Goods.” Journal of Marketing Research 45 (2): 211–225. https://doi.org/10.1509/jmkr.45.2.211.
   Web of Science ®Google Scholar
• Donagoglu, T., and D. Klapper. 2006. “Goodwill and Dynamic Advertising Strategies.” Quantitative Marketing and Economics 4 (1): 5–29. https://doi.org/10.1007/s11129-006-6558-y.
   Web of Science ®Google Scholar
• Dubé, J. P., G. J. Hitsch, and P. Machanda. 2005. “An Empirical Model of Advertising Dynamics.” Quantitative Marketing and Economics 3 (2): 107–144. https://doi.org/10.1007/s11129-005-0334-2.
   Web of Science ®Google Scholar
• Ephron, E., and C. McDonald. 2002. “Media Scheduling and Carry-Over Effects: Is Adstock a Useful TV Planning Tool?” Journal of Advertising Research 42 (4): 66–71. https://doi.org/10.2501/JAR-42-4-66-70.
   Web of Science ®Google Scholar
• Franses, P. H., and R. van Oest. 2007. “On the Econometrics of the Geometric Lag Model.” Economics Letters 95 (2): 291–296. https://doi.org/10.1016/j.econlet.2006.10.023.
   Web of Science ®Google Scholar
• Franses, P. H. 2018. Enjoyable Econometrics. Cambridge UK: Cambridge University Press.
   Google Scholar
• Gijsenberg, M. J., H. J. van Heerde, M. G. Dekimpe, and V. R. Nijs. 2012. Understanding the role of adstock in advertising decisions. Unpublished manusscript.
   Google Scholar
• Granger, C. W. J., N. Hyung, and Y. Jeon. 2001. “Spurious Regressions with Stationary Series.” Applied Economics 33 (7): 899–904. https://doi.org/10.1080/00036840121734.
   Web of Science ®Google Scholar
• Havlena, W., and J. Graham. 2004. “Decay Effects in Online Advertising: Quantifying the Impact of Time Since Last Exposure on Branding Effectiveness.” Journal of Advertising Research 44 (4): 327–332. https://doi.org/10.1017/S0021849904040401.
   Web of Science ®Google Scholar
• Joy, J. 2006. “Understanding advertising adstock transformations, MPRA paper 7683.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.924128.
   Google Scholar
• Koyck, L. M. 1954. Distributed Lags and Investment Analysis. Amsterdam: North Holland.
   Google Scholar
• Naimi, T. S., C. S. Ross, M. B. Siegel, W. DeJong, and H. Jernigan. 2016. “Jernigan 92016), Amount of Televised Alcohol Advertising Exposure and the Quantity of Alcohol Consumed by Youth.” Journal of Studies on Alcohol and Drugs 77 (5): 723–729. https://doi.org/10.15288/jsad.2016.77.723.
   PubMed Web of Science ®Google Scholar
• Steenkamp, J. B. E. M., and K. Gielens. 2003. “Consumer and Market Drivers of the Trial Probability of New Consumer Packaged Goods.” Journal of Consumer Research 30 (3): 368–384. https://doi.org/10.1086/378615.
   Web of Science ®Google Scholar
• Yeh, L. T., and D.-S. Chang. 2023. “Measuring the Lagged Effects of Advertising Goodwill on Dynamic Promotional Efficiency in the Automobile Industry.” Journal of the Operational Research Society 74 (10): 2094–2108. in print. https://doi.org/10.1080/01605682.2022.2128910.
   Google Scholar
• Yule, G. 1926. “Why Do We Sometimes Get Nonsense-Correlations Between Time-Series?--A Study in Sampling and the Nature of Time-Series.” Journal of the Royal Statistical Society 89 (1): 1–64. https://doi.org/10.2307/2341482.
   Google Scholar