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Investigating the advertising-sales relationship in the Lydia Pinkham data: a bootstrap approach

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  • Jae Kim

Abstract

The 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.

Suggested Citation

  • Jae Kim, 2005. "Investigating the advertising-sales relationship in the Lydia Pinkham data: a bootstrap approach," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 347-354.
    • Handle: RePEc:taf:applec:v:37:y:2005:i:3:p:347-354
    DOI: 10.1080/0003684042000295278
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    1. Martin Eichenbaum & Charles L. Evans, 1995. "Some Empirical Evidence on the Effects of Shocks to Monetary Policy on Exchange Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 975-1009.
    2. P. E. Caines & S. P. Sethi & T. W. Brotherton, 1977. "Impulse Response Identification and Causality Detection for the Lydia-Pinkham Data," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 6, number 2, pages 147-163, National Bureau of Economic Research, Inc.
    3. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    4. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
    5. Jeremy Berkowitz & Lutz Kilian, 2000. "Recent developments in bootstrapping time series," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 1-48.
    6. Martin D. D. Evans, 2017. "Exchange-Rate Dark Matter," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 4, pages 101-185, World Scientific Publishing Co. Pte. Ltd..
    7. Mr. Martin D Evans, 2012. "Exchange-Rate Dark Matter," IMF Working Papers 2012/066, International Monetary Fund.
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    1. 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 de Trabajo del ICAE 0602, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

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