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Optimal Data Interval for Estimating Advertising Response
Gerard J. Tellis and Philip Hans Franses
Vol. 25, No. 3 (May - Jun., 2006), pp. 217-229
Published by: INFORMS
Stable URL: http://www.jstor.org/stable/40057005
Page Count: 13
You can always find the topics here!Topics: Statistical estimation, Musical intervals, Marketing, Interval estimators, Estimation bias, Sponsored search, Advertising research, Mathematical intervals, Aggregation, Parametric models
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The abundance of highly disaggregate data (e.g., at five-second intervals) raises the question of the optimal data interval to estimate advertising carryover. The literature assumes that (1) the optimal data interval is the interpurchase time, (2) too disaggregate data causes a disaggregation bias, and (3) recovery of true parameters requires assumption of the underlying advertising process. In contrast, we show that (1) the optimal data interval is what we call unit exposure time, (2) too disaggregate data does not cause any disaggregation bias, and (3) recovery of true parameters does not require assumption of the advertising process but only data at the unit exposure time. These results hold for any linear dynamic model linking sales with current and past advertising.
Marketing Science © 2006 INFORMS