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    Empirical Analysis of Participation Patterns in Microfinancial Markets

    The Cases of Ghana and Sri Lanka

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    Author(s)
    Bendig, Mirko
    Language
    English
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    Abstract
    This book contributes to the empirical literature on households’ participation in microfinancial services in developing countries. First, it estimates simultaneously the participation in microinsurance schemes and other financial services on household survey data from Ghana. Second, it analyzes the household’s cumulative participation in microfinancial services using household survey data from Sri Lanka. Next, the study focuses on the question whether household’s participation in micro life insurance in Sri Lanka is motivated by the desire to leave bequests. At last, it investigates different sequential steps of the household’s microinsurance participation decision and the joint analysis of micro life and health insurance enrolment in Sri Lanka.
    URI
    http://library.oapen.org/handle/20.500.12657/27314
    Keywords
    Analysis; Bendig; Cases; Empirical; Finanzdienstleistungen: Armutsreduzierung; Ghana; Ghana; Lanka; Lebensversicherung; Markets; Microfinancial; Mikrofinanzierung; Participation; Patterns; Sri Lanka; Sub-Saharan Afrika
    DOI
    10.3726/978-3-653-01641-3
    ISBN
    9783653016413
    OCN
    1083010087
    Publisher
    Peter Lang International Academic Publishers
    Publisher website
    https://www.peterlang.com/
    Publication date and place
    Bern, 2012-07-25
    Series
    Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics, 34
    Classification
    Political science and theory
    Political structure and processes
    Development economics and emerging economies
    Economic systems and structures
    Pages
    176
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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