Essays on Labor Supply Dynamics, Home Production, and Case-based Preferences
dc.contributor.advisor | Sickles, Robin C. | en_US |
dc.contributor.committeeMember | Boylan, Richard T. | en_US |
dc.contributor.committeeMember | Weston, James | en_US |
dc.creator | Naaman, Michael | en_US |
dc.date.accessioned | 2013-07-24T19:39:47Z | en_US |
dc.date.accessioned | 2013-07-24T19:39:50Z | en_US |
dc.date.available | 2013-07-24T19:39:47Z | en_US |
dc.date.available | 2013-07-24T19:39:50Z | en_US |
dc.date.created | 2012-12 | en_US |
dc.date.issued | 2013-07-24 | en_US |
dc.date.submitted | December 2012 | en_US |
dc.date.updated | 2013-07-24T19:39:50Z | en_US |
dc.description.abstract | In this paper we examine models that incorporate CBDT. In the first chapter, we will examine CBDT more thoroughly including a reinterpretation of the standard labor supply problem under a wage tax in a partial equilibrium model where preferences exhibit characteristics of CBDT. In the second chapter, we extend the labor supply decision under a wage tax by incorporating a household production function. Utility maximization by repeated substitution is applied as a novel approach to solving dynamic optimization problems. This approach allows us to find labor supply elasticities that evolve over the life cycle. In the third chapter, CBDT will be explored in more depth focusing on its applicability in representing people's preferences over movie rentals in the Netflix competition. This chapter builds on the theoretical model introduced in chapter 1, among other things, expressing the rating of any customer movie pair using the ratings of similar movies that the customer rated and the ratings of the movie in question by similar customers. We will also explore in detail the econometric model used in the Netflix competition which utilizes machine learning and spatial regression to estimate customer's preferences. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Naaman, Michael. "Essays on Labor Supply Dynamics, Home Production, and Case-based Preferences." (2013) Diss., Rice University. <a href="https://hdl.handle.net/1911/71677">https://hdl.handle.net/1911/71677</a>. | en_US |
dc.identifier.slug | 123456789/ETD-2012-12-287 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/71677 | en_US |
dc.language.iso | eng | en_US |
dc.rights | Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. | en_US |
dc.subject | Labor supply | en_US |
dc.subject | Elasticity | en_US |
dc.subject | Dynamic optimization | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Recommedation systems | en_US |
dc.subject | Case based decision theory | en_US |
dc.title | Essays on Labor Supply Dynamics, Home Production, and Case-based Preferences | en_US |
dc.type | Thesis | en_US |
dc.type.material | Text | en_US |
thesis.degree.department | Economics | en_US |
thesis.degree.discipline | Social Sciences | en_US |
thesis.degree.grantor | Rice University | en_US |
thesis.degree.level | Doctoral | en_US |
thesis.degree.name | Doctor of Philosophy | en_US |