Screen for collusive behavior : a machine learning approach

Bantle, Melissa

Screen for collusive behavior : a machine learning approach

dc.contributor.author	Bantle, Melissa	de
dc.date.accessioned	2024-04-08T09:05:51Z
dc.date.available	2024-04-08T09:05:51Z
dc.date.created	2024-03-15
dc.date.issued	2024
dc.description.abstract	The paper uses a machine learning technique to build up a screen for collusive behavior. Such tools can be applied by competition authorities but also by companies to screen the behavior of their suppliers. The method is applied to the German retail gasoline market to detect anomalous behavior in the price setting of the filling stations. Therefore, the algorithm identifies anomalies in the data-generating process. The results show that various anomalies can be detected with this method. These anomalies in the price setting behavior are then discussed with respect to their implications for the competitiveness of the market.	en
dc.identifier.swb	1883605636
dc.identifier.uri	https://hohpublica.uni-hohenheim.de/handle/123456789/6944
dc.identifier.urn	urn:nbn:de:bsz:100-opus-23003
dc.language.iso	eng
dc.relation.ispartofseries	Hohenheim discussion papers in business, economics and social sciences; 2024,01
dc.rights.license	publ-mit-pod	en
dc.rights.license	publ-mit-pod	de
dc.rights.uri	http://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subject	Machine learning	en
dc.subject	Cartel screen	en
dc.subject	Fuel retail market	en
dc.subject.ddc	330
dc.subject.gnd	Maschinelles Lernen	de
dc.subject.gnd	Preispolitik	de
dc.subject.gnd	Kraftstoff	de
dc.title	Screen for collusive behavior : a machine learning approach	de
dc.type.dcmi	Text	de
dc.type.dini	WorkingPaper	de
local.access	uneingeschränkter Zugriff	en
local.access	uneingeschränkter Zugriff	de
local.bibliographicCitation.publisherPlace	Universität Hohenheim	de
local.export.bibtex	@techreport{Bantle2024, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6944}, author = {Bantle, Melissa}, title = {Screen for collusive behavior : a machine learning approach}, year = {2024}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }
local.export.bibtexAuthor	Bantle, Melissa
local.export.bibtexKey	Bantle2024
local.export.bibtexType	@techreport
local.faculty.number	3	de
local.institute.number	520	de
local.opus.number	2300
local.series.issueNumber	2024,01
local.series.title	Hohenheim discussion papers in business, economics and social sciences
local.university	Universität Hohenheim	de
local.university.faculty	Faculty of Business, Economics and Social Sciences	en
local.university.faculty	Fakultät Wirtschafts- und Sozialwissenschaften	de
local.university.institute	Institute for Economics	en
local.university.institute	Institut für Volkswirtschaftslehre	de

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