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39303.pdf (6.85 MB)
ETD Abstract Container
Abstract Header
Bayesian Conjoint Analyses with Multi-Category Consumer Panel Data
Author Info
Yuan, Yuan
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin162766827512258
Abstract Details
Year and Degree
2021, PhD, University of Cincinnati, Arts and Sciences: Mathematical Sciences.
Abstract
Motivated from the statistical analysis of real consumer panel data, we focus on unveiling consumer traits from multi-category consumer panel data. This dissertation is a sequence of statistical analyses to find household’s heterogeneous characteristics in terms of “new choice” preference. We first apply a fixed effects model to see how the household-level and category-level heterogeneity affect households’ new choice preference. Second, we regress the estimated individual household effect on demographic variables. Third, we fit a Bayesian binomial hierarchical model to integrate the finding we got from the fixed effects model and the regression model. The real data application demonstrates that the proposed Bayesian hierarchical model successfully finds the household’s heterogeneous new choice preference.
Committee
Hang Joon Kim, Ph.D. (Committee Chair)
Sanghak Lee, Ph.D. (Committee Member)
Seongho Song, Ph.D. (Committee Member)
Xia Wang, Ph.D. (Committee Member)
Pages
80 p.
Subject Headings
Statistics
Keywords
Bayesian Hierarchical Model
;
Multi-category Analysis
;
Consumer Panel Data
;
Bayesian Analysis
;
Consumer Behavior
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Citations
Yuan, Y. (2021).
Bayesian Conjoint Analyses with Multi-Category Consumer Panel Data
[Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin162766827512258
APA Style (7th edition)
Yuan, Yuan.
Bayesian Conjoint Analyses with Multi-Category Consumer Panel Data.
2021. University of Cincinnati, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin162766827512258.
MLA Style (8th edition)
Yuan, Yuan. "Bayesian Conjoint Analyses with Multi-Category Consumer Panel Data." Doctoral dissertation, University of Cincinnati, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin162766827512258
Chicago Manual of Style (17th edition)
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Document number:
ucin162766827512258
Download Count:
99
Copyright Info
© 2021, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.