Comparison of linear and nonlinear models in explanation of dishonest behavior

dc.contributor.authorMartinčíková Sojková, Olga
dc.contributor.authorMartinčík, David
dc.date.accessioned2025-02-12T09:59:38Z
dc.date.available2025-02-12T09:59:38Z
dc.date.issued2024
dc.description.abstract-translatedDishonest behavior impacts various sectors, including environmental protection, production quality, finance, and taxation. This study compares linear and nonlinear models for explaining behavioral data obtained through a laboratory experiment with economics students at the University of West Bohemia. Participants chose between honest production at a higher cost or dishonest production to save costs. The experiment varied inspection probabilities and introduced punishment for dishonesty or rewards for honesty. Personality traits (MBTI) and risk aversion (Holt-Laury measurement) were also assessed. Both linear and nonlinear (GAM, neural networks) models produced similar results. Increased inspection significantly reduced dishonesty (p < 0.01), while punishment and reward had no significant effect (p > 0.10). Thinking-oriented individuals were more prone to dishonesty (p ≈ 0.05), and higher risk aversion correlated with lower dishonest behavior (p ≈ 0.10). All models achieved a similar power to predict dishonest behavior.en
dc.description.sponsorshipThis paper was created within the project SGS Výzkum kvantitativních přístupů pro řešení ekonomických problémů. Project registration number SGS-2024-030.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.isbn978-80-261-1270-9
dc.identifier.urihttp://hdl.handle.net/11025/58236
dc.language.isoenen
dc.publisherFaculty of Economics University of West Bohemiaen
dc.rights© Authors of papersen
dc.rights.accessopenAccessen
dc.subjectnečestné chovánícs
dc.subjectgeneralizovaný aditivní modelcs
dc.subjectzobecněný lineární modelcs
dc.subjectlaboratorní experimentcs
dc.subjectneuronové sítěcs
dc.subject.translateddishonest behavioren
dc.subject.translatedGeneralized Additive Modelen
dc.subject.translatedGeneralized Linear Modelen
dc.subject.translatedlaboratory experimenten
dc.subject.translatedneural networken
dc.titleComparison of linear and nonlinear models in explanation of dishonest behavioren
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
local.files.count2*
local.files.size721094*
local.has.filesyes*

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