Dokument: E-book Pricing Under the Agency Model: Lessons from the UK
| Titel: | E-book Pricing Under the Agency Model: Lessons from the UK | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=71176 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20251031-121400-0 | |||||||
| Kollektion: | Publikationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Texte » Artikel, Aufsatz | |||||||
| Medientyp: | Text | |||||||
| Autoren: | Gail, Maximilian Maurice [Autor] Klotz, Phil-Adrian [Autor] | |||||||
| Dateien: | 
 | |||||||
| Stichwörter: | Vertical restraints , Amazon , E-books , Agency agreements , Propensity score matching | |||||||
| Beschreibung: | This paper empirically analyzes the relation between the widely used agency model and retail prices of e-books sold in the UK. Using a unique cross-sectional data set of e-book prices for a large number of book titles across all major publishing houses, we exploit cross-genre and cross-publisher variation to examine the interplay between the agency model and e-book prices. Since the genre information is ambiguous and even missing for some titles in our original data set, we also apply a latent Dirichlet allocation (LDA) approach to determine detailed book genres based on the book’s descriptions. Using propensity score matching, we find that retail prices for e-books sold under the agency model tend to be systematically lower than book titles with similar characteristics sold under the wholesale model, approximately 20%. This result varies with the exact sales rank of a book and is driven by the so-called long tail books. Our results are robust across various regression specifications and double machine learning techniques. | |||||||
| Rechtliche Vermerke: | Originalveröffentlichung: Gail, M. M., & Klotz, P.-A. (2025). E-book Pricing Under the Agency Model: Lessons from the UK. Journal of Industry, Competition and Trade , 25(1), Article 17. https://doi.org/10.1007/s10842-025-00451-y | |||||||
| Lizenz: |  Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
| Fachbereich / Einrichtung: | Wirtschaftswissenschaftliche Fakultät | |||||||
| Dokument erstellt am: | 31.10.2025 | |||||||
| Dateien geändert am: | 31.10.2025 | 
