Long-Term Forecasting with Innovation Diffusion Models: The Impact of Replacement Purchases

19 Pages Posted: 26 Apr 2014

See all articles by Wagner A. Kamakura

Wagner A. Kamakura

Rice University

Siva Balasubramanian

Illinois Institute of Technology, Stuart School of Business

Date Written: 1986

Abstract

The model presented in this paper integrates two distinct components of the demand for durable goods: adoptions and replacements. The adoption of a new product is modeled as an innovation diffusion process, using price and population as exogenous variables. Adopters are expected to eventually replace their old units of the product, with a probability which depends on the age of the owned unit, and other random factors such as overload, stylechanges etc.

It is shown that the integration of adoption and replacement demand components in our model yields quality sales forecasts, not only under conditions where detailed data on replacement sales is available, but also when the forecaster's access is limited to total sales data and educated guesses on certain elements of the replacement process.

Keywords: Long term forecasting, Diffusion models, Durable goods, Sales forecasting

Suggested Citation

Kamakura, Wagner A. and Balasubramanian, Siva, Long-Term Forecasting with Innovation Diffusion Models: The Impact of Replacement Purchases (1986). International Journal of Forecasting, Vol. 6, No. 1, 1986. Available at SSRN: https://ssrn.com/abstract=2428888

Wagner A. Kamakura (Contact Author)

Rice University ( email )

6100 South Main Street
P.O. Box 1892
Houston, TX 77005-1892
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(713) 348-6307 (Phone)

Siva Balasubramanian

Illinois Institute of Technology, Stuart School of Business ( email )

10 W 35th Street, 18th Floor
Chicago, IL 60616
United States
3129066516 (Phone)
3129066549 (Fax)

HOME PAGE: http://www.stuart.iit.edu/about/faculty/siva_balas.shtml

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