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GET Ahead Business Training Program Impact Evaluation 2013 - 2017

Kenya, 2013 - 2017
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Reference ID
KEN_2013-2017_GABIE_v01_M
Producer(s)
David McKenzie
Metadata
DDI/XML JSON
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
62656
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    KEN_2013-2017_GABIE_v01_M

    Title

    GET Ahead Business Training Program Impact Evaluation 2013 - 2017

    Subtitle

    Baseline & Follow-up Surveys

    Country
    Name Country code
    Kenya KEN
    Study type

    1-2-3 Survey, phase 1 [hh/123-1]

    Series Information

    The baseline survey was conducted in 2013. This was followed by four rounds of follow-up surveys, conducted in order to measure outcomes approximately one year and three years after training occurred (see timeline Appendix 1 of the Working Paper available under Related Materials). Two types of surveys were used. A comprehensive long-form survey collecting data on a wide range of business outcomes was used in rounds 2 and 4. These were supplemented by much shorter surveys in rounds 3 and 5. These short surveys were conducted two or three months after the long surveys, and were intended to provide a second observation on volatile business outcomes like sales and profits, as well as an additional opportunity to gather data from individuals who could not be found at the time of the long survey rounds. Appendix 6 describes how key outcomes are measured.

    Abstract

    We conduct a randomized experiment in 157 rural markets in Kenya to test how business training (the International Labour Organization (ILO)'s Gender and Enterprise Together program) affects the profitability, growth and survival of female-owned businesses, and to evaluate whether any gains in profitability come at the expense of other business owners. We work with a large sample of 3,537 firms, and use a two-stage randomization, first randomizing at the market-level, and then randomizing the offer of training to individuals within treated markets. A year and a half after the training has taken place, half of the sample assigned to training was then offered a subsequent mentoring intervention intended to test whether additional group-based and in-person support strengthens the impacts of training. Four rounds of follow-up surveys with low attrition are used to measure impacts at one and three years after training. This is complimented with data from a market census taken four years after training, that also included male-operated firms.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Individual female microenterprise
    • Firm

    Version

    Version Description

    v01, baseline data

    Scope

    Notes

    The scope of the study includes:

    • personal and business information
    • employment background
    • family background and childhood
    • finance and loans
    • assets, income, expenses and profit
    • choice of sector
    • training
    • competitive environment
    • business skills and practices scorecard
    • expectations and attitudes
    • empowerment
    • Raven test
    • risk attitudes and recall abilities

    Coverage

    Geographic Coverage

    Kakamega and Kisii counties in the Western region, and Embu and Kitui counties in the Eastern region.

    Universe

    Women operating in markets in four counties in Kenya: Kakamega and Kisii in the Western region, and Embu and Kitui in the Eastern region

    Producers and sponsors

    Primary investigators
    Name Affiliation
    David McKenzie World Bank
    Producers
    Name Affiliation
    Silvia Paruzzolo International Labour Organization
    Susana Puerto International Labour Organization
    Funding Agency/Sponsor
    Name
    International Initiative for Impact Evaluation
    Private Enterprise Development in Low-Income Countries
    Strategic Research Program
    International Labour Organization
    World Bank - Jobs Umbrella multi-donor trust fund

    Sampling

    Sampling Procedure

    The selection of the study areas was the result of a participatory process that involved the Technical Committee of the ILO Women Entrepreneurship and Economic Empowerment (WEDEE) project as well as other relevant stakeholders. A Stakeholder retreat in October 2012 was used to pre-select 10 counties from the 47 counties in Kenya as possible locations for the study. A more detailed review of these 10 counties and consultations with the stakeholders were then used to select 4 counties in which to provide the ILO Gender and Entrepreneurship Together (GET Ahead) training: Kakamega and Kisii in the Western region, and Embu and Kitui in the Eastern region.

    In each of Kakamega, Kisii, Embu and Kitui counties field staff from Innovations for Poverty Action, Kenya, mapped out all market centers deemed as medium or large outside of the main cities. Field staff then conducted a market census, applying a 31-question listing questionnaire to each female-owned enterprise operating on a non-market day in these markets. This questionnaire took a median time of 15 minutes to complete, and collected data on business type, education, age, profits and sales, membership in women's associations or merry-go-rounds, and contact follow-up information. The listing operation took place one county at a time between June 3, 2013 and November 1, 2013.

    After the census, three markets in Kakamega county were dropped because the number of women in these markets was too few. Researchers then applied an eligibility filter to determine which women to include in the baseline survey. This filter required the women to have reported profits, and not to have reported profits that exceeded sales; to have a phone number that could be used to invite them for training; to be 55 years old or younger; to not be running a business that only dealt with phone cards or m-pesa, or that was a school; that the person responding not be an employee; that the business not have more than 3 employees; that the business have profits in the past week between 0 and 4000 KSH; that sales in the past week be less than or equal to 50,000 KSH; and that the individual had at least one year of schooling. These criteria were chosen to reduce the amount of heterogeneity in the sample (thereby increasing our ability to detect treatment effects), and to increase the odds of being able to contact and find individuals again.

    Applying this eligibility filter reduced the 6,296 individuals to 4,037 individuals (64%). Out of a target of 4,037 individuals, the team was able to interview 3,538 (87.6%) in time to consider them for inviting to training.

    Randomization process

    The individuals who had satisfied the screening criteria and completed the baseline survey were then assigned to treatment and control in a two-stage process:

    First, markets were assigned to treatment (have some individuals in them invited to training) or control (no one in the market would be invited to training) status. Randomization was done within 35 strata defined by geographical region (within county) and the number of women surveyed in the market.

    Then within each market, individuals were assigned to treatment (be invited to training) or control (not be invited to training) within treated markets by forming four strata, based on quartiles of weekly profits from the census (<=450, 451-800, 801-1500, 1501-4000), and then assigning half the individuals within each strata to training. When the number of individuals in the strata was odd, the odd unit was also randomly assigned to training. This resulted in 1,173 of the 2,161 individuals in treated markets being assigned to treatment, and 988 to control groups.

    Additoinal details on sampling are abailable in Section 2 of the Working Paper provided under Related Materials.

    Response Rate

    Overall we were able to interview 95.0 percent of the sample in at least one of round 2 or 3, and 92.3 percent in at least one of round 4 or 5. In addition, in cases where we were unable to interview someone due to refusal, travel, death, or other reasons, we collected information from other household members or close contacts on whether the individual in our sample was currently operating a business. This enables us to have data on survival status for 99.3 percent of the sample at one year, and 97.2 percent at three years. There is no significant difference in data availability with treatment status at the three year horizon, although those assigned to treatment are 1 to 2 percentage points more likely to have data available at the one year horizon. See Appendix Table 2 of the working paper provided under Related Materials details response rates.

    Weighting

    No weights used

    Survey instrument

    Questionnaires

    The following survey instruments were used for data collection:

    • Census of Women Entrepreneurs
    • Baseline Questionnaire
    • Long Follow-up Surveys (Rounds 2 and 4)
    • Short Follow-up Surveys (Rounds 3 and 5)
    • Market Census Questionnaires (Rounds 2 and 4)
    • Final Market Questionnaire
    • Customer Survey Questionnaire

    The Market census questionnaire took a median time of 15 minutes to complete. It collected data on business type, education, age, profits and sales, membership in women's associations or merry-go-rounds, and contact follow-up information.
    The baseline questionnaire took a median time of 90 minutes to complete. The 30-page questionnaire asked detailed questions about the business owner, her family and business activities.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2013-06-01 2013-11-01 Listing and baseline surveys
    2014-06 2014-10 Round 2 follow-up
    2014-11 2015-02 Round 3 follow-up
    2016-02 2016-07 Round 4 follow-up
    2016-05 2016-10 Round 5 follow-up
    2017-06 2017-08 Long-run market census and customer survey
    Data Collectors
    Name
    Innovations for Poverty Action Kenya

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Identifying information have been removed to anonymize the data for public release. It should only be used for research purposes, with no attempt made to identify individual participants.
    Access conditions

    Public access granted for research purposes only

    Citation requirements

    The use of the datasets must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator (including country name)
    • the full title of the survey and its acronym (when available), and the year(s) of implementation
    • the survey reference number
    • the source and date of download (for datasets disseminated online)

    Example:

    David McKenzie and Susana Puerto (2017) "Growing Markets through Business Training for Female Entrepreneurs: A Market-Level Randomized Experiment in Kenya", Mimeo. World Bank. Ref. KEN_2013-2017_GABIE_v01_M. Dataset downloaded from [URL] 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.

    Contacts

    Contacts
    Name Email
    David McKenzie dmckenzie@worldbank.org

    Metadata production

    DDI Document ID

    DDI_KEN_2013-2017_GABIE_v01_M_WB

    Producers
    Name Affiliation Role
    Development Data Group World Bank Study documentation
    Date of Metadata Production

    2017-12-11

    Metadata version

    DDI Document version

    v03 (December, 2017)
    This is an update from DDI_KEN_2013_GABIE-B_v01_M_WB
    Data and documents for rounds 2, 3, 4 and 5 added.

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