RT Journal Article SR Electronic T1 Perils of Using OLS to Estimate Multimedia Communications Effects JF Journal of Advertising Research JO J Advert Res FD WARC SP 257 OP 269 DO 10.2501/S0021849907070298 VO 47 IS 3 A1 Prasad A. Naik A1 Don E. Schultz A1 Shuba Srinivasan YR 2007 UL http://www.journalofadvertisingresearch.com/content/47/3/257.abstract AB Companies invest millions of dollars in various forms of marketing communications to impact customers' awareness, attitudes, purchases, and, ultimately, profitability. An important question for marketers and shareholders alike is: what effects do marketing investments have on market performance? To assess these effects, marketers estimate marketing-mix models by using regression analysis. However, we show that the estimation of marketing-mix models via regression analysis (i.e., ordinary least squares, OLS) yields severely biased estimates of marketing effects. To mitigate such severe biases, we present an alternative approach, called the Wiener-Kalman filter, that provides reasonable estimates that are much closer to the true parameters than the corresponding OLS estimates. In addition, we analyze Corolla brand's multimedia campaign and furnish results based on marketplace data that corroborate the simulation findings. Finally, we discuss both the implications of these results for brand managers and the opportunities that lie ahead for advertising researchers.