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1 Introduction

Table below summaries the characteristics of respondents in the survey. The data set is standardized from Ethiopia

Demographic Characteristics
Baseline Endline Total
(N=23) (N=23) (N=46)
Gender
Female 11 (47.8%) 11 (47.8%) 22 (47.8%)
Male 12 (52.2%) 12 (52.2%) 24 (52.2%)
Strata
Kenyan 23 (100%) 23 (100%) 46 (100%)
Age
Non Youth 15 (65.2%) 15 (65.2%) 30 (65.2%)
Youth 8 (34.8%) 8 (34.8%) 16 (34.8%)
Key Indicators
Baseline Endline P-value
(N=21) (N=23)
Total Average Monthly Sales
Mean (SD) 182000 (568000) 317000 (1250000) 0.645
Median [Min, Max] 500 [0, 2600000] 500 [500, 6000000]
Total household
Mean (SD) 4.10 (2.07) 5.30 (2.98) 0.123
Median [Min, Max] 3.00 [0, 9.00] 4.00 [3.00, 12.0]
income_generating_activities
Mean (SD) 0.714 (1.19) 1.04 (0.825) 0.297
Median [Min, Max] 0 [0, 3.00] 1.00 [0, 2.00]
employment_status
No 13 (61.9%) 22 (95.7%) 0.0165
Yes 8 (38.1%) 1 (4.3%)

1.1 Machine Learning (Predictive Model) Using Logistic Regression

term estimate conf.low conf.high p.value
(Intercept) -2.1197951 0.0097884 1.008419 0.0630266
mnthly_sales_income 0.0000001 0.9999993 1.000001 0.6782603
total_household -0.1572159 0.5285438 1.209492 0.4358213
income_generating_activities 1.1711046 1.4472976 8.972507 0.0091622

1.2 Machine Learning (Predictive Model) Using k-means for clustering

Correlation Coeffient on Monthly Sales income visa vie Total household
var1 var2 cor statistic p conf.low conf.high method
mnthly_sales_income total_household -0.15 -0.9781109 0.833 -0.386128 1 Pearson
Correlation Coeffient on Monthly sales income visa vie income generating activities
var1 var2 cor statistic p conf.low conf.high method
mnthly_sales_income income_generating_activities 0.14 0.9016907 0.186 -0.1176468 1 Pearson
Correlation Coeffient on Household visa vie income generating activities
var1 var2 cor statistic p conf.low conf.high method
total_household income_generating_activities -0.03 -0.1985758 0.578 -0.2736174 1 Pearson

New revenue generation by location

New revenue generation by Age

New revenue generation by Gender

Income generating activities by Gender Income generating activities by Age