ADEFGHIJKLMNOPQRSTUVWXYZAA
1
Key assumptions in redBest-guess OptimisticNotesSource
2
Bottom-line2.517.3
3
Coverage assumptions
4
5
6
Program cost per person$34,358$25,000
Malengo internal estimate
7
8
Direct effects: income gains from migrating
9
% of participants that get a job in Germany50%80%
My best-guess assumes that 70% of Malengo students will graduate, and 70% of graduates will find a grad job in Germany. 1*0.7*0.7 = 0.49 = ~50%
10
% of participants that return to Uganda50%20%
Note: to keep things simple, I assume 2 scenarios rather than 6. Whether students migrate vs. not seems the most salient distinction
11
Counterfactual income per person participating$2,000$2,000
Best-guess is that counter-factual income would be higher for participating students, given they are selected on ability
"Compared to the outside option of taking a job in Uganda with the average yearly income of those with a high school diploma or some college, EUR 1,598", the impact of Malengo
12
Income for those who migrate net of remittances & repayments
$40,000$40,000
My best-guess takes the mid-point of starting salaries for engineering, agriculture, and English graduates, which I think are representative of the types of degrees Malengo students would study. From the resulting figure ($44k), I subtract $4k to account for remittances. I don't subtract the $30k repayment amount because: i) over the course of a 40 year life, $30k ~= $1k per year; ii) this parameter is pretty uncertain to begin with; iii) the bottom-line actually isn't that sensitive to this parameter (b/c of our logarithmic utility assumption)
13
PPP adjustment42%42%
Idea here is that we need to adjust for PPP for those that stay in Germany; presumably $40k goes further in Uganda than it would in Germany
14
Income for those who migrate, PPP adjusted$16,689$16,689
15
Income for those who return to Uganda$4,000$4,000
Rough guess: some participants that return to Uganda will have graduated, so I take a rough midpoint between Ugandan salaries for secondary ($1,600) and tertiary graduates ($5,600)
16
Units of value per ln inc increase1.441.44
GiveWell moral weights
GiveWell, Moral weights and discount rate
17
Discount rate4%4%GiveWell moral weight
GiveWell, Moral weights and discount rate
18
Working lifespan/duration of benefits, years4040
Assume average working lifespan for the participants
19
Average number of years between Malengo programme and long-term benefits
55
Assume that it takes scholars ~5 years to graduate
20
Units of value in first year of those that migrate, direct2.52.5
21
Household multiplier amongst scholars that migrate3.33.3
22
Units of value in first year of those that migrate, given resource sharing
8.38.3
23
Total present-discounted units of direct value per person that migrates
163163
24
Units of value in first year of those that return, direct0.80.8
25
Household multiplier amongst scholars that return2.32.3
26
Units of value in first year of those that return, given resource sharing
1.91.9
27
Total present-discounted units of direct value per person that returns
3838
28
Total discounted units of value per person from direct effects
101138
29
30
Indirect effects: remittances
31
Baseline consumption per person in remittance household$511$511
Malengo internal estimate
32
Remittance per household$1,000$1,000
"To estimate the magnitude of such remittances, a useful statistic is that the average Ugandan migrant in the UK sends USD 4,000 per year back to Uganda (Cooper et al., “Remittances in Uganda”, Centre for Financial Regulation & Inclusion, 2018). While we don’t have data for the remittances sent by the 2,600 Ugandans living in Germany, it is likely that the magnitude is similar due to the relatively similar household incomes in Germany compared to the UK", the impact of Malengo
33
Number of households receiving remittances44
"To estimate the magnitude of such remittances, a useful statistic is that the average Ugandan migrant in the UK sends USD 4,000 per year back to Uganda (Cooper et al., “Remittances in Uganda”, Centre for Financial Regulation & Inclusion, 2018). While we don’t have data for the remittances sent by the 2,600 Ugandans living in Germany, it is likely that the magnitude is similar due to the relatively similar household incomes in Germany compared to the UK", the impact of Malengo
34
Units of value in first year of those that migrate, indirect5.15.1
35
Household multiplier in remittance households1.21.2
36
Units of value in first year given resource sharing in household
6.46.4
37
Total present-discounted units of indirect value per person that migrates
127127
38
Total discounted units of value per person from remittances
63101
39
40
Direct effects: mortality effects (prolonged life expectancy)
41
Life expectancy at birth in Uganda6464
Rough guess. A more precise esimate would be life expectancy conditional on making it to age 18.
World Bank
42
Average age of participant1818
43
Average number of years between Malengo programme and mortality benefits
4646
44
Moral weight of averting the death of a 60-64 year-old4040
Rough guess: assume prolonging someone's life expectancy is equivalent to averting the death of a 60-64 year old. This seems roughly reasonable: life expectancy is ~81 in Germany
GiveWell, Update on GiveWell's moral weights, 2020 (see chart on p. 9)
45
Units of value from mortality among those that migrate35
46
47
Indirect effects: migration decision spillovers
48
Number of children whose migration decisions could be affected
1010
Guess - I imagine the people that could plausibly be affected include siblings, cousins, and close friends
49
Baseline rates of European migration in child's network1%1%
I base this estimate on two statistics: the emigrant-to-home population ratio in Uganda (5%), and the percentage of migrating Africans who migrate to Europe (18% ~= 20%)
For emigrant-to-home population ratio in Uganda, see Map 1.1 (page 45) in World Bank (2018). From the Economist: "Only 18% of those (Africans) living abroad are in Europe. About 70% are in other African countries", The Economist (2021)
50
Number of children in network who would migrate without programme
0.10.1
51
Percentage increase in migration probability given migrant exposure
22%22%
"Bedasso et al. (2020) find an effect of migrant exposure on completing secondary education of 14–17%, and on own future migration of 22%", impact of Malengo
52
Additional cases of migration per person caused by the programme
0.020.02
53
Total discounted units of value per person that migrates290290
54
Total discounted units of value per person from migration spillovers
66
55
56
Units of value per person from direct + indirect effects
174251
57
58
Temporal effects: funding future cohorts via income sharing
59
Discount rate for future cohorts6.5%6.5%
We use a higher discount rate for future cohorts. This is to account for greater uncertainty about those potential participants (e.g., around program structure and counterfactual outcomes for future cohorts)
60
Annual payment from income sharing agreement from migrants
$5,600$5,600
Malengo income sharing agreement requirement
61
Length of obligation (years)1010
If you live in Germany or another high- or middle-income country, and your yearly income exceeds EUR 27,000, you contribute 14% of your pre-tax income to future Malengo Scholars for a period of 10 years
62
Total repayments raised per migrant$56,000$56,000
"After you finish your studies and take a job, we expect you to make contributions back to Malengo to allow us to continue our work. This happens through a so-called Income Share Agreement. An income share agreement means that you agree to contribute a share of your income for a limited period of time. For the 2023 cohort, the parameters were as follows: Students who live in Germany and earn more than EUR 27,000 per year contribute 14% of their pre-tax income for up to 10 years (but never more than EUR 56,220 over their lifetime). If they to Uganda and earn more than EUR 27,000 per year, they contribute 7% of their pre-tax income for up to 5 years (with the same lifetime maximum). If they do not have an income, or if their income is lower than EUR 27,000, they are not expected to make contributions. All of these numbers are adjusted for inflation on an ongoing basis. The parameters for the 2024 cohort may be slightly different; successful applicants will be informed about the exact details of the agreement.” Malengo, “Uganda-Germany Program”.
63
Repayment compliance rate90%90%
The ISA is legally binding; this is the repayment rate assumed by Chancen, the private company that Malengo has been working with
64
Expected number of future scholars funded per student0.71.6
65
Average time between cohorts (years)1010
Taking account time spent studying (5 years) + midpoint in length of obligation (5 year)
66
Total units of value generated per person given income sharing agreement
2851,450
67
68
Units of value per $0.008300.05798
69
x cash2.517.3
70
71
72
Check: ROI 812
73
74
% of value derived from direct income effects58%55%
75
% of value derived from indirect income effects (remittances)
36%40%
76
% of value derived from health benefits2%2%
77
% of value derived from encouraging additional migration decisions
4%3%
78
100%100%
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100