2017
DOI: 10.1080/10168737.2017.1398767
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Simultaneous Estimation of Legal and Illegal Supply and Demand: The Case of Motion Pictures

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Cited by 3 publications
(5 citation statements)
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“…Although we focus on the effects of piracy quality, the control variables are consistent with those reported in existing motion picture research. Notably, in the screens equation, anticipated revenues (α1 = 0.490, p < .01), advertising expense (α4 = 0.164, p < .01), and film critics reviews (α5 = -0.371, p < .01) are significant and in the same direction as those found elsewhere (Elberse and Eliashberg 2003;Clement, Wu, and Fischer 2014;Koschmann and Bowman 2017). In the revenues equation, screens (β1 = 1.335, p < .01) and film critics reviews (β5 = 0.441, p < .01) are significant and in the same direction as those prior studies.…”
Section: Launch Estimation Resultsmentioning
confidence: 59%
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“…Although we focus on the effects of piracy quality, the control variables are consistent with those reported in existing motion picture research. Notably, in the screens equation, anticipated revenues (α1 = 0.490, p < .01), advertising expense (α4 = 0.164, p < .01), and film critics reviews (α5 = -0.371, p < .01) are significant and in the same direction as those found elsewhere (Elberse and Eliashberg 2003;Clement, Wu, and Fischer 2014;Koschmann and Bowman 2017). In the revenues equation, screens (β1 = 1.335, p < .01) and film critics reviews (β5 = 0.441, p < .01) are significant and in the same direction as those prior studies.…”
Section: Launch Estimation Resultsmentioning
confidence: 59%
“…After the launch period, suppliers can adjust supply based on prior weeks' performance; week 2 is estimated with an industry average 30% drop-off in opening week revenues, while weeks 3 and onward use a double exponential smoothing model (i.e., Holt-Winters forecasting method). Since revenue decay is curved rather than linear, one parameter smooths and another accounts for the trend, giving more weight to more recent weeks, as done in prior research (Elberse and Eliashberg 2003;Koschmann and Bowman 2017). Web Appendix A further explains revenue estimation.…”
Section: Methodsmentioning
confidence: 99%
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“…However, while the question seems relatively straightforward, establishing credible causal relationships has proven challenging given the interplay between lawful and unlawful consumption (Smith et al., 2019; Tyrowicz et al., 2020). Using data related to actual prerelease and/or post‐release piracy, mixed evidence has been reported on the sign and magnitude of sales displacement (Koschmann & Bowman, 2017; Lu et al., 2020; Ma et al., 2014b; McKenzie & Walls, 2016). Given the inherent challenges with revealed‐preference piracy data, some researchers have opted instead to use survey data to explore similar questions (Bai & Waldfogel, 2012; Herz & Kiljański, 2018; Jha & Rajan, 2021; Nishijima et al., 2020), while other survey‐based studies have focused more on identifying the characteristics of individuals who participate in the activity (Cox & Collins, 2014; Ho & Weinberg, 2011).…”
Section: Movie Macroeconomicsmentioning
confidence: 99%