Shopping hours and entry - An empirical analysis of Aldi's opening hours

Samuel de Haas (), Daniel Herold () and Jan T. Schaefer ()
Additional contact information
Samuel de Haas: Justus-Liebig-University Giessen
Daniel Herold: Justus-Liebig-University Giessen
Jan T. Schaefer: Justus-Liebig-University Giessen

MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung)

Abstract: Aldi, the biggest discounter in Germany, started to systematically extend shopping hours of its stores in 2016. We interpret the decision to extend opening hours of a specific Aldi store as entry into a new market. By using a novel data set containing the opening hours of nearly all German grocery retailers, we find that consumer and firm learning infl uence that decision. The presence of a nearby Aldi already opened longer increases the probability that a given Aldi extends its opening hours. However, if a nearby competitors store is short opened, the probability that Aldi extends opening hours decreases.

Keywords: Shopping hours; Retailing; Coordination; Market Entry (search for similar items in EconPapers)
JEL-codes: L22 L41 L81 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2017
New Economics Papers: this item is included in nep-com, nep-eur and nep-ind
References: View references in EconPapers View complete reference list from CitEc
Citations:

Forthcoming in

Downloads: (external link)
http://www.uni-marburg.de/fb02/makro/forschung/mag ... /51-2017_de_haas.pdf First 201751 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mar:magkse:201751

Access Statistics for this paper

More papers in MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) Contact information at EDIRC.
Bibliographic data for series maintained by Bernd Hayo ().