Thesis (Ph. D.)--University of Michigan, 1994. / Includes bibliographical references (leaves 165-178).

Thesis (Ph. D.)--Harvard University, 1983. / Includes bibliographical references (p. 260-279).

Thesis (Ph.D.)--Drexel University, 2010. / Includes abstract and vita. Includes bibliographical references (leaves 78-83).

Thesis--Lund. / Extra t.p. with thesis statement inserted. Bibliography: p. 155-157.

Thesis (M.A.)--Baylor University, 2006. / Includes bibliographical references (p. 30-34).

South Africa is acknowledged as having the highest Gini coefficient in the world. The Gini coefficient is a measure of income inequality in a country. The eradication of all forms of inequality was probably the most important aspiration for people pre-democracy. After two decades of democracy, not only has the eradication of inequality not materialised, but inequality has worsened. The aim of the research is threefold. Firstly, to understand the origins and the ensuing reasons for inequality as it is experienced in South Africa in 2013 and secondly, to investigate what the effects of this inequality are on the lives of South Africans, socially, politically and economically. Lastly, the research aims to find what, if anything, South Africans can do to address the issue, in order to determine if the aspiration is indeed attainable. Qualitative exploratory research was conducted by interviewing 16 prominent South Africans with the requisite knowledge of the topic and experience in their respective fields. Semi-structured, in-depth face-to-face interviews were performed. Content and theme analysis were carried out on the transcripts, followed by the recording of the responses in logically ordered tables. The literature informed the interpretation of the results in the tables. The reasons for and causes of South Africa’s high Gini coefficient were identified, with the apartheid legacy and the present government’s governance style as the two greatest contributors. The effects of the high inequality in the South African context were considered far more detrimental to society, than to the politics and the economy of the country. The research yielded a number of actions that could be considered to reduce inequality, thereby improving the Gini coefficient. The two most important proposals were addressing the current poor education system and finding a solution for unemployment. / Dissertation (MBA)--Gordon Institute of Business Science, 2013 / mn2014 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted

The existing inequality indexes in the economics literature (including the more sophisticated indexes of Muellbauer (1974) and Jorgenson-Slesnick (1984)), are found to be insensitive to relative price changes or are unjustifiable in terms of social evaluation ethics or both. The present research fills this gap in the literature by proposing a new index, named the Individual Equivalent Income (IEI) index. A household indirect utility function is hypothesized which incorporates certain attribute parameters in the form of equivalence scales. These attributes are demographic and environmental characteristics specific to a given household. This indirect utility function gives a number which represents the utility of each member of the household. A particular level of interpersonal comparison of utilities is assumed which gives rise to an exact individual utility indicator named equivalent income. A distribution of these equivalent incomes forms the basis of a price-sensitive relative inequality index. This index can be implemented in the Canadian context. Preferences are assumed to be nonhomothetic translog and demand data are derived from cross-section surveys and time-series aggregates. Based on demand data, the translog equivalent income function can be estimated and equivalent incomes imputed to all individuals in society. An Atkinson index of equivalent incomes is then computed to indicate the actual degree of inequality in Canada. The new IEI index is compared with other indexes based on a common data set. The main findings are: conventional indexes give bad estimates of the true extent of inequality and the IEI index, while providing a more accurate estimate, indicates distributive price impact in a predictable manner, i.e., food price inflation aggravates while transportation price inflation ameliorates the inequality problem. / Arts, Faculty of / Vancouver School of Economics / Graduate

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At the core of the theoretical part of this thesis is a review of recent attempts at incorporating income distribution in economy-wide models. Most existing models are very detailed and complex but the mechanisms which dominate the results are simple and determined by conveniently extreme assumptions about prices and wages. Typically, prices are either all rigid or all flexible; the treatment of agriculture is unsatisfactory; and dualism in the labour market is ignored. A convincing case for the alleged insensitivity of the distribution of income to policy interventions can not be based on these models. The major part of the thesis describes two models, for Tanzania and Kenya, and their results. In the first model the emphasis is on the effects of migration and economic growth on the urban income distribution. It describes an economy in which neither prices nor wages respond to changes in market conditions. Distinctive features of the Kenya model include its submodel for smallholder agriculture, educational 'bumping' in the labour market and its emphasis on trade and pricing policies. The models are used to estimate the effects of policies (wages, trade, pricing, investment allocation, land redistribution) on growth and income distribution. The results contradict some of the conventional wisdom about the two countries. The models explicitly recognise a number of market imperfections, especially in the labour market, which are crucial in determining distributional changes but which are usually ignored in modelling. The results reveal a greater sensitivity of the distribution of income to changes in policies than has been found with some other models.

No description available.