Price Management in the Used-Car Market: An Evaluation of Survival Analysis

Arbeitspapier

Second-hand car markets contribute to billions of Euro turnover each year but hardly generate profit for used car dealers. The paper examines the potential of sophisticated data-driven pricing systems to enhance supplier-side decision making and escape the zero-profit-trap. Profit maximization requires an accurate understanding of demand. The paper identifies factors that characterize consumer demand and proposes a framework to estimate demand functions using survival analysis. Empirical analysis of a large data set of daily used car sales between 2008 to 2012 confirm the merit of the new factors. Observed results also show the value of survival analysis to explain and predict demand. Random survival forest emerges as the most suitable vehicle to develop price response functions as input for a dynamic pricing system.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: IRTG 1792 Discussion Paper ; No. 2018-065

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Mathematical and Quantitative Methods: General
• Thema: Automotive Industry ; Price Optimization ; Survival Analysis ; Dynamic Pricing

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Born, Alexander ; Kovachka, Nikoleta ; Lessmann, Stefan ; Seow, Hsin-Vonn
• Ereignis: Veröffentlichung
• (wer): Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"
• (wo): Berlin
• (wann): 2018

Weitere Informationen

• Handle: http://hdl.handle.net/10419/230775
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ