Investigating the advertising-sales relationship in the Lydia Pinkham data: a bootstrap approach
AbstractThe dynamic relationship between advertising and sales in the annual Lydia Pinkham data is re-evaluated. Past studies have found a feedback system, although one-way causality from advertising to sales is expected. The bootstrap method is used in this paper as an alternative to the asymptotic method exclusively adopted by past studies. The impulse response analysis based on bivariate autoregressive (AR) model is conducted. Bootstrap-after-bootstrap confidence intervals on impulse responses provide evidence that sales do not cause advertising, contrary to the findings of past studies. Comparison of bootstrap-after-bootstrap prediction intervals calculated from univariate and bivariate AR models further supports this finding. Overall, this paper finds evidence of one-way causality from advertising to sales.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 37 (2005)
Issue (Month): 3 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEC20
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
- Jeremy Berkowitz & Lutz Kilian, 1996.
"Recent developments in bootstrapping time series,"
Finance and Economics Discussion Series
96-45, Board of Governors of the Federal Reserve System (U.S.).
- Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-67, July.
- Eichenbaum, Martin & Evans, Charles L, 1995. "Some Empirical Evidence on the Effects of Shocks to Monetary Policy on Exchange Rates," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 975-1009, November.
- José Casals Carro & Miguel Jerez Méndez & Sonia Sotoca López, 2006. "Decomposition of state-space Model with inputs: The theory and an application to estimate the ROI of advertising," Documentos del Instituto Complutense de AnÃ¡lisis EconÃ³mico 0602, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.