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    Demographics, housing search, asymetric information and housing decisions amongst apartment households in Nairobi county, Kenya

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    Date
    2014
    Author
    Omagwa, Job Ombongi
    Type
    Thesis; en_US
    Language
    en
    Metadata
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    Abstract
    The specific objectives of the study were: to ascertain if demographics have a significant influence on housing decisions amongst households; to determine the mediating effect of housing search on the influence of demographics on housing decisions amongst households; to determine the moderating effect of asymmetric information on the influence of demographics on housing decisions amongst households and to determine if the joint influence of demographics, housing search and asymmetric information on housing decisions amongst households was greater than the influence of demographics (singly) on such decisions. Four hypotheses were formulated and each of them was operationalized into 4 subhypotheses. The study was anchored on rational choice theory, efficient markets theory and agency theory. Using cluster sampling, a sample of 226 households was contacted-199 responded. The study adopted the positivist research philosophy and a descriptive crosssectional design. SPSS was used to analyze data using factor analysis, cross tabulation, multiple regression analysis (standard) and hierarchical regression analysis. Tests conducted include: Cronbach‟s Alpha (0.568), normality and linearity (using Shapiro-Wilk test and Q-Q plots), multicollinearity (using correlation matrices, Tolerance and VIF), homogeneity of variance (Levene test), sampling adequacy (KMO= 0.535), relationship between variables (Bartlett‟s test of Sphericity). Study found that demographics overall had a significant influence on choice of neighbourhood and choice of location of house; marital status was the sole factor with a significant influence on source of financing; housing search and asymmetric information had a mediating and moderating influence but their influence was not statistically significant; the joint influence of demographics, housing search and asymmetric information on the 4 housing decisions was greater than the influence of demographics (singly) on all the 4 housing decisions. The study concluded that: the housing market is efficient to the extent of the scope of this study or home buyers overly utilize informal means of housing search; the market is not experiencing significant asymmetric information problems; home buyers seem not to be utilizing market intermediaries to acquire market information. The study recommended that: relevant housing, infrastructure and development control departments at the National Government and County Government of Nairobi should develop relevant housing laws to maintain high quality residential neighbourhood; mortgage financiers to review their credit policy in view of buyer income and marital status; mortgage financiers to focus mortgage lending to the married; property developers to consider making convenient mortgage arrangements by partnering with key players. The study contributes to knowledge since finance theory stands to gain since the study explains how the study variables account for housing decisions; academicians will form a basis for future study out of the research gaps identified by this study; physical search was found to be popular. Limitations highlighted include: inability of descriptive cross-sectional design to capture time effect; inability to extend research outcome to other settings besides the study being restricted to only one county; having home owner as respondent for the household; lack of similar studies from other counties in Kenya. Further studies should consider longitudinal study of a similar nature; need for test of housing market efficiency; the need for a causal study on marital status and source of financing and an exploratory study on the factors accounting for source of financing; a study to investigate why the high mortgage uptake amongst the apartment households contrary to empirical evidence from the Kenyan housing market.
    URI
    http://hdl.handle.net/11295/77983
    Citation
    Doctor of philosophy in Business Administration
    Publisher
    University of Nairobi
    Description
    Doctor of philosophy in business administration
    Collections
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM) [24587]

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