Waters, James (2013): Variable marginal propensities to pirate and the diffusion of computer software.
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Abstract
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.
Item Type: | MPRA Paper |
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Original Title: | Variable marginal propensities to pirate and the diffusion of computer software |
Language: | English |
Keywords: | Computers, software, piracy, technology, diffusion |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes |
Item ID: | 46036 |
Depositing User: | James Waters |
Date Deposited: | 12 Apr 2013 15:19 |
Last Modified: | 10 Oct 2019 12:27 |
References: | Bass, F. (1969) A New Product Growth Model for Consumer Durables, Management Science, 15, 215-27. Basu, A., Basu, A. and Batra, R. (1995) Modeling the Response Pattern to Direct Marketing Campaigns, Journal of Marketing Research, 32, 204-12. Clark, T. and West, K. (2007) Approximately normal tests for equal predictive accuracy in nested models, Journal of Econometrics, 138, 291-311. Givon, M., Mahajan, V. and Muller, E. (1995) Software Piracy: Estimation of Lost Sales and the Impact on Software Diffusion, Journal of Marketing, 59, 29-37. Givon, M., Mahajan, V. and Muller, E. (1997) Assessing the Relationship between the User-Based Market Share and Unit Sales-Based Market Share for Pirated Software Brands in Competitive Markets, Technological Forecasting and Social Change, 55, 131-44. Hamilton, J. (1994) Time Series Analysis, Princeton University Press. Haruvy, E., Mahajan, V. and Prasad, A. (2004) The Effect of Piracy on the Market Penetration of Subscription Software, Journal of Business, 77, S81-107. Jain, D. and Rao, R. (1990) Effect of Price on the Demand for Durables: Modeling, Estimation, and Findings, Journal of Business & Economic Statistics, 8, 163-70. Liu, Y., Cheng, H., Tang, Q. and Eryarsoy, E. (2011) Optimal software pricing in the presence of piracy and word-of-mouth effect, Decision Support Systems, 51, 99-107. Prasad, A. and Mahajan, V. (2003) How many pirates should a software firm tolerate? An analysis of piracy protection on the diffusion of software, International Journal of Research in Marketing, 20, 337-53. R Development Core Team (2009) R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org. Schmittlein, D. and Mahajan, V. (1982) Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance, Marketing Science, 1, 57-78. Srinivasan, V. and Mason, C. (1986) Technical Note - Nonlinear Least Squares Estimation of New Product Diffusion Models, Marketing Science, 5, 169-78. Van den Bulte, C. and Stremersch, S. (2004) Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test, Marketing Science, 23, 530-44. Xie, J., Song, X., Sirbu, M. and Wang, Q. (1997) Kalman Filter Estimation of New Product Diffusion Models, Journal of Marketing Research, 34, 378-93. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/46036 |