• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM)
    • View Item
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    The effect of the pre-retirement withdrawal regulations on household saving in Kenya

    Thumbnail
    View/Open
    Full-text (1.143Mb)
    Date
    2012
    Author
    Kamau, James Mwangi
    Type
    Thesis
    Language
    en
    Metadata
    Show full item record

    Abstract
    The purpose of this study was to determine the effect of pre-retirement withdrawal regulations on household savings in Kenya. The research objective was intended to establish the level of pre-retirement withdrawal of retirement benefits from schemes as a result of changes in jobs on household savings in Kenya. The research design was descriptive survey study in nature since it focused on members of registered retirement benefits schemes in Kenya. The population of the study was all the registered occupational benefits schemes in Kenya. This implied that the total population of this study is 1216 firms as given by the Retirement Benefits Authority (RBA). For representativeness purposes, the current study took a sample size of 11% of the population made of 138 households selected through purposive random sampling. This sample size was justified since this study could not anticipate how good the response rate would be. All the respondents had been members of registered retirement schemes for eight (8) years (2005 to 2012). The study used primary data collected through questionnaires to the respondent.The researcher used averages and percentages in this study. The researcher used Statistical Package for Social Sciences (SPSS) to generate the descriptive statistics and also to generate inferential results.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13155
    Citation
    MBA Thesis 2012
    Sponsorhip
    University of Nairobi
    Publisher
    School of business
    Collections
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM) [24587]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback