PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 1983Management Science112 citations

Temporal Aggregation, the Data Interval Bias, and Empirical Estimation of Bimonthly Relations from Annual Data

View Full Paper
FBFrank M. BassThe University of Texas at DallasRLRobert P. LeoneTexas Christian University

Key Points

Key points are not available for this paper at this time.

Abstract

In an important study reviewing the literature on econometric studies of the relationship between advertising and sales Clarke (Clarke, Darral G. 1976. Econometric measurement of the duration of advertising effects on sales. J. Marketing Res. 13 (November) 345–357.) concluded that the implied duration interval of the effects of advertising on sales were too long when the studies used annual data. A theoretical explanation is provided here for the observation of parameter estimates which vary with the data interval employed in the analysis. Parameter estimates are developed on the basis of data aggregated at various levels of temporal aggregation and compared with theoretical values. It is demonstrated that it is possible to recover bimonthly parameters when only annual data are available.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bass et al. (1983) studied this question.

synapsesocial.com/papers/6a0f9f338090e499da5ffa90https://doi.org/10.1287/mnsc.29.1.1
Ask AI
Helpful
Bookmark
Share
View Full Paper