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Determinants of Digital Piracy: A Re-examination of Results

Author

Listed:
  • Mandel Philipp

    (Institute for Empirical Research in Economics, University of Leipzig, Grimmaische Str. 12, 04109 Leipzig, Germany)

  • Süssmuth Bernd

    (Institute for Empirical Research in Economics, University of Leipzig, Grimmaische Str. 12, 04109 Leipzig, Germany, and CESifo Munich)

Abstract

This paper empirically investigates determinants of digital piracy in Germany for several types of digitized products. To this end we rely on a survey comprising behavior and attitudes at the individual level. The sample matches some demographic characteristics of the German population with high-speed internet access with regard to gender and age composition. It also maps the share of foreign nationals in Germany. Self-selection in the drawing of our sample is assessed by a control experiment. In contrast to existing studies, we sharply discriminate between frequency and extent of pirating digital media. We find no significant gender difference in the propensity to pirate. However, male individuals are prone to pirate at a significantly larger scale.We attribute this finding to male individuals acting more frequently as hubs in the social prestige enhancing distribution of pirated media. It is particularly important in the light of the recent development of the distribution process from peer-to-peer online networks to offline forms of file swapping. Our findings are confirmed by recent piracy related crime statistics of the Federal Office of Criminal Investigation (Bundeskriminalamt).

Suggested Citation

  • Mandel Philipp & Süssmuth Bernd, 2012. "Determinants of Digital Piracy: A Re-examination of Results," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 394-413, August.
    • Handle: RePEc:jns:jbstat:v:232:y:2012:i:4:p:394-413
    DOI: 10.1515/jbnst-2012-0402
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    References listed on IDEAS

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    3. Aguiar, Luis & Martens, Bertin, 2016. "Digital music consumption on the Internet: Evidence from clickstream data," Information Economics and Policy, Elsevier, vol. 34(C), pages 27-43.

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