Variable marginal propensities to pirate and the diffusion of computer software
In this paper, we empirically investigate the dynamics of the marginal propensity to pirate for computer software. We introduce a state space formulation that allows us to estimate error structures and parameter significance, in contrast to previous work. For data from 1987-92, we find a rising propensity to pirate as the number of existing pirate copies increases, and higher late piracy incidence than implied by static models. We strengthen prior results on the impact of piracy in the spreadsheet market, finding it to be the only significant internal influence on diffusion. However, when we allow for negative error correlation between legal and pirate acquisitions, we contradict earlier work by finding that, in the word processor market, piracy did not contribute to diffusion and only eroded legal sales.
|Date of creation:||10 Apr 2013|
|Date of revision:|
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- Jain, Dipak C & Rao, Ram C, 1990. "Effect of Price on the Demand for Durables: Modeling, Estimation, and Findings," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 163-70, April.
- Kenneth D. West & Todd Clark, 2006.
"Approximately Normal Tests for Equal Predictive Accuracy in Nested Models,"
NBER Technical Working Papers
0326, National Bureau of Economic Research, Inc.
- Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- David C. Schmittlein & Vijay Mahajan, 1982. "Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance," Marketing Science, INFORMS, vol. 1(1), pages 57-78.
- Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
- V. Srinivasan & Charlotte H. Mason, 1986. "Technical Note—Nonlinear Least Squares Estimation of New Product Diffusion Models," Marketing Science, INFORMS, vol. 5(2), pages 169-178.
- Christophe Van den Bulte & Stefan Stremersch, 2004. "Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test," Marketing Science, INFORMS, vol. 23(4), pages 530-544, July.
- van den Bulte, C. & Stremersch, S., 2003. "Contagion and heterogeneity in new product diffusion: An emperical test," ERIM Report Series Research in Management ERS-2003-077-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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