The pricing strategies of online grocery retailers

This paper documents the differences in pricing strategies between online and offline (brick-and-mortar) channels. We collect price data for identical products from leading online grocery retailers in the United States and complement it with offline data for the same products from scanner data. Our...

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Autores: Aparicio, D. (Diego)|||/items/a9535ca4-5f89-4b78-b0b5-579175be857b, Metzman, Z. (Zachary)|||/items/2dd69840-446a-4a3b-ae56-d161ca8ebc86, Rigobon, R. (Roberto)|||/items/1f34fa79-0c75-45da-9a11-31940a9d9b1b
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:español
OAI Identifier:oai:dadun.unav.edu:10171/68156
Acceso en línea:https://hdl.handle.net/10171/68156
Access Level:acceso abierto
Palabra clave:Algorithmic pricing
Price dispersion
Price discrimination
Online groceries
Scanner data
Amazon
Walmart
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oai_identifier_str oai:dadun.unav.edu:10171/68156
network_acronym_str ES
network_name_str España
repository_id_str
spelling The pricing strategies of online grocery retailersAparicio, D. (Diego)|||/items/a9535ca4-5f89-4b78-b0b5-579175be857bMetzman, Z. (Zachary)|||/items/2dd69840-446a-4a3b-ae56-d161ca8ebc86Rigobon, R. (Roberto)|||/items/1f34fa79-0c75-45da-9a11-31940a9d9b1bAlgorithmic pricingPrice dispersionPrice discriminationOnline groceriesScanner dataAmazonWalmartThis paper documents the differences in pricing strategies between online and offline (brick-and-mortar) channels. We collect price data for identical products from leading online grocery retailers in the United States and complement it with offline data for the same products from scanner data. Our findings reveal a consistent pattern: online retailers exhibit higher price dispersion than their offline counterparts. More specifically, online grocers employ price algorithms that amplify price discrimination in three key dimensions: (1) over time (through frequent price changes), (2) across locations (by charging varying prices based on delivery zipcodes), and (3) across sellers (by setting dispersed prices for identical products across rival retailers).SpringerDadun. Depósito Académico Digital Universidad de Navarra20232023-12-2120232023-11-2820232023-11-28journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/68156reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraEspañolspaopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/681562026-06-21T12:47:57Z
dc.title.none.fl_str_mv The pricing strategies of online grocery retailers
title The pricing strategies of online grocery retailers
spellingShingle The pricing strategies of online grocery retailers
Aparicio, D. (Diego)|||/items/a9535ca4-5f89-4b78-b0b5-579175be857b
Algorithmic pricing
Price dispersion
Price discrimination
Online groceries
Scanner data
Amazon
Walmart
title_short The pricing strategies of online grocery retailers
title_full The pricing strategies of online grocery retailers
title_fullStr The pricing strategies of online grocery retailers
title_full_unstemmed The pricing strategies of online grocery retailers
title_sort The pricing strategies of online grocery retailers
dc.creator.none.fl_str_mv Aparicio, D. (Diego)|||/items/a9535ca4-5f89-4b78-b0b5-579175be857b
Metzman, Z. (Zachary)|||/items/2dd69840-446a-4a3b-ae56-d161ca8ebc86
Rigobon, R. (Roberto)|||/items/1f34fa79-0c75-45da-9a11-31940a9d9b1b
author Aparicio, D. (Diego)|||/items/a9535ca4-5f89-4b78-b0b5-579175be857b
author_facet Aparicio, D. (Diego)|||/items/a9535ca4-5f89-4b78-b0b5-579175be857b
Metzman, Z. (Zachary)|||/items/2dd69840-446a-4a3b-ae56-d161ca8ebc86
Rigobon, R. (Roberto)|||/items/1f34fa79-0c75-45da-9a11-31940a9d9b1b
author_role author
author2 Metzman, Z. (Zachary)|||/items/2dd69840-446a-4a3b-ae56-d161ca8ebc86
Rigobon, R. (Roberto)|||/items/1f34fa79-0c75-45da-9a11-31940a9d9b1b
author2_role author
author
dc.contributor.none.fl_str_mv Dadun. Depósito Académico Digital Universidad de Navarra
dc.subject.none.fl_str_mv Algorithmic pricing
Price dispersion
Price discrimination
Online groceries
Scanner data
Amazon
Walmart
topic Algorithmic pricing
Price dispersion
Price discrimination
Online groceries
Scanner data
Amazon
Walmart
description This paper documents the differences in pricing strategies between online and offline (brick-and-mortar) channels. We collect price data for identical products from leading online grocery retailers in the United States and complement it with offline data for the same products from scanner data. Our findings reveal a consistent pattern: online retailers exhibit higher price dispersion than their offline counterparts. More specifically, online grocers employ price algorithms that amplify price discrimination in three key dimensions: (1) over time (through frequent price changes), (2) across locations (by charging varying prices based on delivery zipcodes), and (3) across sellers (by setting dispersed prices for identical products across rival retailers).
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-12-21
2023
2023-11-28
2023
2023-11-28
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10171/68156
url https://hdl.handle.net/10171/68156
dc.language.none.fl_str_mv Español
spa
language_invalid_str_mv Español
language spa
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra
instname:Universidad de Navarra
instname_str Universidad de Navarra
reponame_str Dadun. Depósito Académico Digital de la Universidad de Navarra
collection Dadun. Depósito Académico Digital de la Universidad de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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