This study presents a detailed and comprehensive overview of the context and domination of the "American Dream House" in the United States of the past one hundred years. Additionally, It investigates the present day status and effects of this dependence. This inquiry uses an alternative method of investigation that involves the use of the popular media and extensive research of the past presentation of the "American Dream House" in it. It also involves research into the effects of promotional campaigns on the public perception of the "American Dream House." The research suggests that there exists a crisis in this country in the form of a severe attachment to the mythological and historical nature of this limited housing form. The investigation further suggests that the characteristics and elements of the "American Dream House" have not substantially changed in the past fifty years. This severe attachment to the characteristics of the past both threatens and confines a search and pursuit for a cure to this country's housing problems of the late 20th and early 2131 century. / Department of Architecture

Homeownership is widely advocated and believed to contribute towards economic activity, employment, wealth creation, economic, political, and neighbourhood stability and financial independence. Despite government’s interventions to advance homeownership there is currently a declining trend in homeownership and an increase in renting experienced in South Africa. As the government does not have the resources to provide adequate housing to all South Africans, identifying the factors which attribute to non-subsidised homeownership will assist in implementing interventions and strategies to increase access to non-subsidised homeownership and reduce reliance on government subsidised housing. The main objective of this study was to determine the comparative odds of variables contributing to non-subsidised homeownership in South Africa from secondary data obtained from a South African household survey. Compared to the heuristic model, the following variables were found to align closely with the expectation created; non-subsidised homeownership attainment was most likely for households within high-income groups and least for households within the low-income groups, more likely for households who have access to credit than those without, more likely for households with no accounts in arrears than those with accounts in arrears, more likely for households with an ability to save than those without, most likely for households consisting of seven or more household members and least likely for single member households, most likely for households where FKP (Financially Knowledgeable Person) has completed a tertiary education level and least likely for households with primary not completed education levels, most likely for households where the FKP is older (aged 65 and older) and least likely for young FKP households (aged between 18 and 24), most likely for households residing in rural areas and least likely for households residing in metropolitan areas, most likely for female FKP households and least likely for male FKP households. Unexpectedly the regression model indicated that non-subsidised homeownership is most likely for households where the Financially Knowledgeable Person (FKP) is not economically active (for example pensioners) and least likely for employed households, most likely for households from the African population group and least likely for Indian households, most likely where the FKP is never married or single and least likely for separated or divorced FKP households (which is expected) and most likely for households residing in Limpopo (which is expected) and least likely for households residing Western Cape. / Financial accounting / M. Phil. (Accounting Science)

This project will simulate an online real estate company using JSP, Java Servlet and JavaBean technology.

This thesis explores the impact of two behavioural finance concepts, social psychology and psychology, on household financial decisions. Under social psychology, I investigate whether the variety and intensity of social engagement enhances stock market participation. With regard to psychology, I examine two behavioural biases. First, I investigate whether mental accounting influences portfolio choice in three asset classes and whether financial advice and housing tenure increase (decrease) the effects of mental accounts on portfolio choice. Second, I examine whether households’ self-reported housing wealth are anchored on published house price indices and whether anchoring bias is mediated by market information, mortgage refinancing decisions and social factors. The main contributions and findings in the three studies are as follows. First, although there is an elaborate body of research concerning the relationship between social engagement mechanisms and portfolio choice, most studies investigate specific mechanisms in isolation. Using three waves in the British Household Panel Survey (BHPS), I bring together five social engagement measures in one model and show that socially engaged individuals are more likely to participate in the stock market. Consistent with Granovetter’s (1973) theory of social networks I find that a weak tie (measured by social group involvement) has a positive effect on stock market participation whereas a strong tie (measured by talking to neighbours) has no effect. More trusting individuals are more likely to participate in the stock market, as are those who identify with a political party. In contrast, the degree to which religion is important appears to have little impact. These results are robust using different specifications. Overall, the results of this study demonstrate that the likelihood of stock market participation increases with the variety and intensity of social engagement. Second, despite the established theoretical underpinnings of mental accounting in behavioural portfolio theory (BPT) and recent extensions, not much is known about their implications in real life situations. I use a recent UK household survey, the Wealth and Assets Survey (WAS), which has comprehensive information about financial assets to investigate whether there are differences in the ownership and portfolio share of three asset classes among individuals who exhibit no mental account, a single mental account and multiple mental accounts, and the conditional influences of financial advice, housing, cognitive ability, time preference and risk tolerance. Overall I find that mental accounting together with financial advice and housing tenure explain variations in both the probability of ownership and portfolio share in the three asset classes. Households that exhibit a single mental account have low share of investments in, and are less likely to own, a risky asset when compared to those that exhibit no mental account or exhibit multiple mental accounts. I also find that, when compared to having no mental account, exhibiting a single mental account or multiple mental accounts increases both the probability and investment share in a fairly safe asset but decreases portfolio share in safe assets. In addition, among those that exhibit a single mental or multiple mental accounts, financial advice decreases portfolio share in risky assets and fairly safe assets and increases portfolio share in safe assets. Housing tenure increases both the probability and portfolio share in risky assets, decreases portfolio share in fairly safe assets and increases portfolio share in safe assets. These results are consistent using multi-equation regressions, sub-samples, reparametrised variables and poisson regressions. Finally, as little is known about how households derive the self-reported house prices estimates that are commonly used to determine housing wealth, the third study examines whether households are anchored on published house price indices. The key conjecture is that, while assessing the values of their homes, homeowners place more weight on house price news at the expense of property characteristics and other market information. I find support for this hypothesis using sixteen waves of the BHPS, multiple methods, and both regional and national house price indices. I conclude that changes in self-reported housing wealth are anchored on changes in published house price indices. Specifically, ownership through a mortgage and greater financial expectations increase anchoring effects while mortgage refinancing decreases the effects. Moreover, use of money raised from refinancing for home investment, as opposed to other consumption purposes, has a positive association with change in self-reported house value and both uses reduce anchoring bias. In addition, I find that computer use increases anchoring bias and, among social engagement mechanisms, religiosity reduces anchoring while other measures have no effect. These results are robust to internal instrumental variables, national aggregate house prices, alternative indices and sub-samples.