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Psychometric Credit Scoring as an Alternative to Collateral for Women Entrepreneurs in Ethiopia - Baseline and Endline Surveys 2021
Randomized Controlled Trial Impact Evaluation

Ethiopia, 2018 - 2021
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Reference ID
ETH_2018-2021_WEDP-IE_v01_M
Producer(s)
Salman Alibhai, Rachel Cassidy, Markus Goldstein, Sreelakshmi Papineni
Metadata
DDI/XML JSON
Created on
May 30, 2023
Last modified
May 30, 2023
Page views
14466
Downloads
204
  • Study Description
  • Data Dictionary
  • Downloads
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Metadata production
  • Identification

    Survey ID number

    ETH_2018-2021_WEDP-IE_v01_M

    Title

    Psychometric Credit Scoring as an Alternative to Collateral for Women Entrepreneurs in Ethiopia - Baseline and Endline Surveys 2021

    Subtitle

    Randomized Controlled Trial Impact Evaluation

    Country
    Name Country code
    Ethiopia ETH
    Study type

    Enterprise Survey [en/oth]

    Abstract

    This data was collected for a randomized controlled trial evaluating the impact of offering a large, individual-liability, uncollateralized microfinance loan to female business owners in Ethiopia, using psychometric credit scoring technology as a substitute for fixed-asset collateral requirements. This study partnered with the Ethiopian MFI Wasasa to trial a psychometric loan appraisal technology that predicts repayment likelihood. A total of 357 women completed the psychometric test and baseline survey between April 2018-March 2020 and 324 (of the 357) women completed the endline survey in September 2021.

    Unit of Analysis

    Firms, Individuals

    Version

    Version Description

    This data was collected for a randomized controlled trial evaluating the impact of offering a large, individual-liability, uncollateralized microfinance loan to female business owners in Ethiopia, using psychometric credit scoring technology as a substitute for fixed-asset collateral requirements. This study partnered with the Ethiopian MFI Wasasa to trial a psychometric loan appraisal technology that predicts repayment likelihood. A total of 357 women completed the psychometric test and baseline survey between April 2018-March 2020 and 324 (of the 357) women completed the endline survey in September 2021.

    Scope

    Notes

    The scope of the survey includes the following themes:
    Demographics
    General information
    Personal Information
    Decision making
    Employment
    Revenues and expenditures
    Finance
    Access to Finance
    Business Information
    Business performance
    Constraints
    Main business
    Secondary business
    Other business
    Psychometrics
    COVID
    Gender
    Entrepreneurship
    Firms
    Credit

    Coverage

    Geographic Coverage

    The study sample is comprised of individuals who at the time of the baseline survey lived or worked in the cities of Adama (92%) or Asela (8%) in Ethiopia.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Salman Alibhai World Bank Group
    Rachel Cassidy World Bank Group
    Markus Goldstein World Bank Group
    Sreelakshmi Papineni World Bank Group

    Sampling

    Sampling Procedure

    The study sample consists of 357 WEDP entrepreneurs who presented themselves at Wasasa branches in the cities of Adama and Assela between April 2018 to March 2020 and decided to apply for an uncollateralized loan. The baseline data collection was thus done on a rolling basis, as and when prospective borrowers came to the MFI branches. The psychometric test and a short additional baseline survey were administered on tablets by MFI loan officers working at the Wasasa branch.

    An endline survey was conducted face-to-face in September 2021, targeting the full baseline sample of 357 entrepreneurs. Of these, 324 completed the endline survey (participation rate 88%).

    Response Rate

    The response rate was 88 percent at endline

    Weighting

    None

    Data collection

    Dates of Data Collection
    Start End Cycle
    2018-04-01 2020-03-30 Baseline
    2021-09-01 2021-10-30 Endline
    Mode of data collection
    • Computer Assisted Personal Interview [capi]
    Data Collection Notes

    Baseline data was collected from respondents using self-reported entry into a tablet at the MFI branch. Endline survey data was collected face-to-face through enumerators at the respondent’s place of business or home. Survey responses were recorded on a tablet using SurveyCTO. The survey was also translated from English to Amharic. The questionnaires are available for download.

    Depositor information

    Depositor
    Name
    World Bank

    Data Access

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:
    Salman Alibhai (World Bank Group), Rachel Cassidy (World Bank Group), Markus Goldstein (World Bank Group), Sreelakshmi Papineni (World Bank Group). Ethiopia - Psychometric Credit Scoring as an Alternative to Collateral for Women Entrepreneurs in Ethiopia - Baseline and Endline Surveys 2021, Randomized Controlled Trial Impact Evaluation (WEDP ETH 2021). Ref: ETH_2018-2021_WEDP-IE_v01_M. Downloaded from [uri] on [date].

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Metadata production

    DDI Document ID

    DDI_ETH_2018-2021_WEDP-IE_v01_M_WB

    Producers
    Name Affiliation Role
    Development Data Group World Bank Documentation of the study
    Date of Metadata Production

    2023-02-03

    Metadata version

    DDI Document version

    Version 01 (2023-02-03)

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