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dc.contributor.advisorBrady, Alyce
dc.contributor.authorMcDowall, Miles Lachlan
dc.date.accessioned2018-06-09T13:43:36Z
dc.date.available2018-06-09T13:43:36Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10920/35873
dc.description28 p.en_US
dc.description.abstractThe analysis of happiness and how it can be predicted by economic and social factors may allow policy makers to make informed and data-driven decisions in the future. In order to determine whether or not these factors can be optimized to maximize happiness in a society, we have utilized data-analysis and machine learning techniques to examine their usefulness as a predictive force. We found that a predictive model using the level of inequality, tax rates, and social inclusiveness of a country can account for a large portion of the variance in its population’s happiness. While further analysis is necessary to prove causation, these results show a promising link between economic policy, social conditions, and happiness.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofSenior Individualized Projects. Computer Science.
dc.relation.ispartofKalamazoo College Computer Science Senior Individualized Projects Collection
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written
dc.titleHow Happiness is Made : Determining How Economic Policy and Cultural Standards Predict Happinessen_US
dc.typeThesisen_US
KCollege.Access.ContactIf you are not a current Kalamazoo College student, faculty, or staff member, email dspace@kzoo.edu to request access to this thesis.


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  • Computer Science Senior Individualized Projects [227]
    This collection includes Senior Individualized Projects (SIP's) completed in the Computer Science Department. Abstracts are generally available to the public, but PDF files are available only to current Kalamazoo College students, faculty, and staff.

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