The Open UniversitySkip to content
 

Dimensions of Well-Being: Earnings, Happiness and Domestic Violence

Santos, Cristina (2013). Dimensions of Well-Being: Earnings, Happiness and Domestic Violence. PhD thesis University College London.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview
Google Scholar: Look up in Google Scholar

Abstract

This thesis looks at three important aspects of the well-being of individuals.

The first chapter looks at earnings and tries to estimate earnings over the life course accounting for selection. It does so by being silent a priori about the relative productivity of those who stay out of work and instead lets the data speak. Data suggest that nonworkers are not always worse than workers, and it also suggests cohort effects are also important when lifecycle profiles do not follow the same people over the whole age range. This chapter also provides an economic model which partly explains how higher productivity individuals may leave the market earlier than low productivity ones.

The second chapter looks at another dimension of well-being over the life course. It estimates age-happiness profiles and it focusses more specifically on the identification of linear age effects, in a life satisfaction equation which also includes linear cohort and period effects. As in the first chapter, this chapter also accounts for selective attrition. It finds that cohort effects and selection are important and an adequate account of them changes the age effect on happiness quite substantially.

The third chapter looks at domestic violence and tries to find a measure of the cost it has for victims. This is an under-researched area in Economics due to the challenges it presents to the discipline: it questions some of the assumptions often made in the literature about cooperation and efficiency in households; it cannot be easily (if at all) inferred from market behaviour; and data are quite sensitive to gather. We have used a data set designed in the UK, which culminates happiness and income data, and find that costs of violence are often larger than what most households would be able to compensate victims for.

Item Type: Thesis (PhD)
Copyright Holders: 2013 Cristina Santos
Project Funding Details:
Funded Project NameProject IDFunding Body
PhD scholarshipPRAXIS XXI/BD/4920/2001Fundacao Ciencia e Tecnologia
Academic Unit/School: Faculty of Arts and Social Sciences (FASS)
Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies
Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies > Economics
Item ID: 57385
Depositing User: Cristina Santos
Date Deposited: 08 Nov 2018 09:20
Last Modified: 09 Aug 2019 05:42
URI: http://oro.open.ac.uk/id/eprint/57385
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU