2019
DOI: 10.23846/ow4ie95
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Unpacking the determinants of entrepreneurship development and economic empowerment for women in Kenya

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Cited by 3 publications
(7 citation statements)
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“…The qualitative evidence indicated a consistent theme of women preferring single‐sex TVET programme approaches (Bandiera et al, 2018; Mckenzie et al, 2019; Stangl et al, 2015; Subah‐Belleh Associates, 2010). All three included interventions—the Economic Empowerment of Adolescent Girls and Young Women (EPAG), the Empowerment and Livelihood for Adolescents (ELA) programme in Sierra Leone, and the GET Ahead for Women in Enterprise in Kenya were designed to only include women participants and men were not eligible for participation.…”
Section: Resultsmentioning
confidence: 93%
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“…The qualitative evidence indicated a consistent theme of women preferring single‐sex TVET programme approaches (Bandiera et al, 2018; Mckenzie et al, 2019; Stangl et al, 2015; Subah‐Belleh Associates, 2010). All three included interventions—the Economic Empowerment of Adolescent Girls and Young Women (EPAG), the Empowerment and Livelihood for Adolescents (ELA) programme in Sierra Leone, and the GET Ahead for Women in Enterprise in Kenya were designed to only include women participants and men were not eligible for participation.…”
Section: Resultsmentioning
confidence: 93%
“…Mckenzie and colleague's (2019) experimental study in Kenya was the only study evaluating the impact of TVET on women being more engaged in micro, small and medium‐sized enterprises. Their report examined how many women were talking about their businesses, providing impact estimates at both the 12‐ and 36‐month follow‐up periods.…”
Section: Resultsmentioning
confidence: 99%
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“…We found that about 6 per cent of women who participated in the survey had engaged in some type of e‐commerce. Assuming 150 (146, allowing for likely attrition) businesses per arm, the minimum detectable effect size (MDES) was 0.0785 when calculated with a standard deviation of 0.2336, significance level 0.05, and power of 0.8; the MDES for recent studies on similar topics is about 0.1 (see Giné & Mansuri, 2021; McKenzie et al., 2019). However, we acknowledge that our small sample size limits the power of this analysis to detect small effect sizes.…”
Section: Methodsmentioning
confidence: 99%
“…Impact evaluations employ different methods to estimate a valid counterfactual, including randomized assignment [21], regression discontinuity [22], difference-in-difference [23], and matching [24]. Given a sufficiently large sample, randomized assignment ensures that the treatment and control groups are statistically identical in both observed and unobserved characteristics [25]. Regression discontinuity design is an option when a continuous scale (e.g., poverty index, and farm size) is used to determine program eligibility, and a unique cutoff score determines who receives the program [26].…”
Section: Literature Review and State Of The Artmentioning
confidence: 99%