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Discovering the Causal Structure in Subjective Well-Being Data in the 2016-2017 LAPOP Americas Barometer

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorGrift, Yolanda
dc.contributor.authorBosma, Michiel
dc.date.accessioned2022-08-09T00:02:51Z
dc.date.available2022-08-09T00:02:51Z
dc.date.issued2022
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/42221
dc.description.abstractUsing causal discovery methods (the pc algortihm combined with multiple imputation methods) an attempt was made to discover the causal structure in the 2016/2017 Lapop survey data. This was done to help answer the question which causal structure surrounds subjective well-being or happiness in Latin America.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectDiscovering the Causal Structure in Subjective Well-Being Data in the 2016-2017 LAPOP Americas Barometer
dc.titleDiscovering the Causal Structure in Subjective Well-Being Data in the 2016-2017 LAPOP Americas Barometer
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuApplied Data Science
dc.thesis.id7910


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