Is intertemporal price discrimination the cause of price dispersion in markets with low search costs?
Author
Abstract
Suggested Citation
DOI: 10.1080/13504851.2020.1789055
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.
Other versions of this item:
- Lindgren, Charlie & Daunfeldt, Sven-Olov & Rudholm, Niklas & Yella, Siril, 2020. "Is intertemporal price discrimination the cause of price dispersion in markets with low search costs?," HFI Working Papers 8, Institute of Retail Economics (Handelns Forskningsinstitut).
References listed on IDEAS
- Giorgino, Toni, 2009. "Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i07).
- Robert Thorndike, 1953. "Who belongs in the family?," Psychometrika, Springer;The Psychometric Society, vol. 18(4), pages 267-276, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lindgren, Charlie & Daunfeldt, Sven-Olov & Rudholm, Niklas, 2021. "Pricing In Retail Markets With Low Search Costs: Evidence From A Price Comparison Website," HFI Working Papers 18, Institute of Retail Economics (Handelns Forskningsinstitut).
- Lindgren, Charlie, 2021. "Discontinuities: What is the value of having the lowest price or highest consumer rating on a price comparison website?," HFI Working Papers 19, Institute of Retail Economics (Handelns Forskningsinstitut).
- Lindgren, Charlie & Li, Yujiao & Rudholm, Niklas, 2020. "Why do firms compete on price comparison websites? The impact on productivity, profits, and wages," HFI Working Papers 14, Institute of Retail Economics (Handelns Forskningsinstitut).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Amato, Umberto & Antoniadis, Anestis & De Feis, Italia & Goude, Yannig & Lagache, Audrey, 2021. "Forecasting high resolution electricity demand data with additive models including smooth and jagged components," International Journal of Forecasting, Elsevier, vol. 37(1), pages 171-185.
- Mastroeni, Loretta & Mazzoccoli, Alessandro & Quaresima, Greta & Vellucci, Pierluigi, 2021. "Decoupling and recoupling in the crude oil price benchmarks: An investigation of similarity patterns," Energy Economics, Elsevier, vol. 94(C).
- Becken, Susanne & Stantic, Bela & Chen, Jinyan & Connolly, Rod M., 2022. "Twitter conversations reveal issue salience of aviation in the broader context of climate change," Journal of Air Transport Management, Elsevier, vol. 98(C).
- Archana R. Panhalkar & Dharmpal D. Doye, 2020. "An approach of improving decision tree classifier using condensed informative data," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(4), pages 431-445, December.
- Christoph J. Borner & Ingo Hoffmann & Jonas Krettek & Lars M. Kurzinger & Tim Schmitz, 2021. "Bitcoin: Like a Satellite or Always Hardcore? A Core-Satellite Identification in the Cryptocurrency Market," Papers 2105.12336, arXiv.org.
- Michele Cincera, 2005.
"Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures,"
Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
- Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: an analysis of alternative technological proximity measures," ULB Institutional Repository 2013/5490, ULB -- Universite Libre de Bruxelles.
- Michele Cincera, 2005. "Firms’ productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," ULB Institutional Repository 2013/289621, ULB -- Universite Libre de Bruxelles.
- Cincera, Michele, 2005. "Firms' Productivity Growth and R&D Spillovers: An Analysis of Alternative Technological Proximity Measures," CEPR Discussion Papers 4894, C.E.P.R. Discussion Papers.
- Horstmann, Felix, 2017. "Measuring the shopper's attitude toward the point of sale display: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 112-123.
- Elizaveta Zinovyeva & Raphael C. G. Reule & Wolfgang Karl Hardle, 2021.
"Understanding Smart Contracts: Hype or Hope?,"
Papers
2103.08447, arXiv.org.
- Zinovyev, Elizaveta & Reule, Raphael C. G. & Härdle, Wolfgang, 2021. "Understanding Smart Contracts: Hype or hope?," IRTG 1792 Discussion Papers 2021-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Hanjo Odendaal & Monique Reid & Johann F. Kirsten, 2020.
"Media‐Based Sentiment Indices as an Alternative Measure of Consumer Confidence,"
South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 409-434, December.
- Nicolaas Johannes Odendaal & Monique Reid, 2018. "Media based sentiment indices as an alternative measure of consumer confidence," Working Papers 17/2018, Stellenbosch University, Department of Economics.
- Yangchen Di & Mingyue Lu & Min Chen & Zhangjian Chen & Zaiyang Ma & Manzhu Yu, 2022. "A quantitative method for the similarity assessment of typhoon tracks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 587-602, May.
- Chester Harris, 1955. "Characteristics of two measures of profile similarity," Psychometrika, Springer;The Psychometric Society, vol. 20(4), pages 289-297, December.
- Sokhna Dieng & Pierre Michel & Abdoulaye Guindo & Kankoe Sallah & El-Hadj Ba & Badara Cissé & Maria Patrizia Carrieri & Cheikh Sokhna & Paul Milligan & Jean Gaudart, 2020.
"Application of Functional Data Analysis to Identify Patterns of Malaria Incidence, to Guide Targeted Control Strategies,"
IJERPH, MDPI, vol. 17(11), pages 1-23, June.
- Sokhna Dieng & Pierre Michel & Abdoulaye Guindo & Kankoé L Sallah & El-Hadj Ba & Badara Cisse & Maria Patrizia Carrieri & Cheikh Sokhna & Paul Milligan & Jean Gaudart, 2020. "Application of Functional Data Analysis to Identify Patterns of Malaria Incidence, to Guide Targeted Control Strategies," Post-Print hal-02866666, HAL.
- Marrel, Amandine & Iooss, Bertrand, 2024. "Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
- Shahzad, Murtuza & Alhoori, Hamed & Freedman, Reva & Rahman, Shaikh Abdul, 2022. "Quantifying the online long-term interest in research," Journal of Informetrics, Elsevier, vol. 16(2).
- Boztug, Yasemin & Reutterer, Thomas, 2008. "A combined approach for segment-specific market basket analysis," European Journal of Operational Research, Elsevier, vol. 187(1), pages 294-312, May.
- Martin Kueppers & Christian Perau & Marco Franken & Hans Joerg Heger & Matthias Huber & Michael Metzger & Stefan Niessen, 2020. "Data-Driven Regionalization of Decarbonized Energy Systems for Reflecting Their Changing Topologies in Planning and Optimization," Energies, MDPI, vol. 13(16), pages 1-15, August.
- João Antunes Rodrigues & Alexandre Martins & Mateus Mendes & José Torres Farinha & Ricardo J. G. Mateus & Antonio J. Marques Cardoso, 2022. "Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning," Energies, MDPI, vol. 15(24), pages 1-17, December.
- Chompoonut Kongphunphin & Manat Srivanit, 2021. "A Multi-Dimensional Clustering Applied to Classify the Typology of Urban Public Parks in Bangkok Metropolitan Area, Thailand," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
- Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
- Beste Hamiye Beyaztas & Ufuk Beyaztas & Soutir Bandyopadhyay & Wei-Min Huang, 2018. "New and Fast Block Bootstrap-Based Prediction Intervals for GARCH(1,1) Process with Application to Exchange Rates," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 168-194, February.
More about this item
JEL classification:
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:28:y:2021:i:11:p:968-971. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.