The and Impact of Mobile Money in Kenya: Results from a Panel...
Transcript of The and Impact of Mobile Money in Kenya: Results from a Panel...
![Page 1: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/1.jpg)
The Adoption and Impact of Mobile Money in Kenya: Results from a Panel Survey
William JackGeorgetown
Tavneet SuriMIT Sloan
November , 2010
![Page 2: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/2.jpg)
Adoption of M‐PESAAdoption of M PESA
![Page 3: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/3.jpg)
Household SurveyHousehold Survey• 3,000 households Ethiopia
• Rural and a lot of urban and semi urbanand semi urban
• 3 rounds (so far)
Somalia
( )– 2008, 2009, 2010
• Non‐negligible attrition, but not bad for this kind of survey
TanzaniaIndianOcean
of survey
![Page 4: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/4.jpg)
M‐PESA UseM PESA Use
M‐PESA Non‐users M‐PESA users All households
Round 1: 2008 1,685 1,315 3,000
0.56 0.44 1.00
Round 2 respondents in 2008 1,143 873 2,016
0.57 0.43 1.00
Round 2: 2009 629 1,387 2,016
0 31 0 69 1 000.31 0.69 1.00
![Page 5: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/5.jpg)
Growth of UsersGrowth of Users
Share of households reporting at least one user of M‐PESA
80%
100%
p g
60%
80%
20%
40%Non‐users
Users
0%
20%
2008 (All 2008 (2009 20092008 (All respondents)
2008 (2009 Respondents)
2009
![Page 6: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/6.jpg)
Growth of AgentsGrowth of Agents
![Page 7: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/7.jpg)
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Note that agents were only sampled
dJune 2007 !!
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!in administrative locations where our HH sample is
![Page 8: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/8.jpg)
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![Page 10: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/10.jpg)
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![Page 14: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/14.jpg)
Improving Agent Access4
Improving Agent AccessDistance t th
3
3.5to the closest agent (km)
2
2.5
Round 1
22% Change
33%
1
1.5 Round 2
40%
33% Change
28% Change
14% Change
0
0.5 ChangeChange
Mean Distance (km)
5th Percentile 25th Percentile 50th Percentile 75th Percentile
Percentiles of the Distance to the Closest Agent
![Page 15: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/15.jpg)
Improving Agent ServiceImproving Agent Service
Round1(closest agent)
Round2 (last two transactions)(closest agent) (last two transactions)
Unable to withdraw money 16% 5%Unable to deposit money 7% 4%Asked by agent to show ID 77% 95%Asked by agent to show ID 77% 95%Trust agent 65% 95%
![Page 16: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/16.jpg)
Reaching OutReaching Out
Share of each quartile who are M‐PESA users
80%
100%
q
2009
60%2008
20%
40%
0%
1 2 3 4
Poor Quartile Rich
![Page 17: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/17.jpg)
Reaching DownReaching DownShare of all M‐PESA users from each quartile
40%
50%
2008
30%
20082009
10%
20% Uniform use across income distribution
0%
10%
1 2 3 41 2 3 4
Poor Quartile Rich
![Page 18: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/18.jpg)
Reaching Women
%
Share of all M‐PESA users by gender
Reaching Women
60%
70%
2008User shares by gender
50%
60%
20092008 2009
Women 14.7% 40.2%
40%
50%
Uniform use by gender
Men 24.9% 51.1%
30%
40%
30%
Women Men
![Page 19: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/19.jpg)
Increased PenetrationIncreased Penetration100%
Share of each group who are users
80%
60%
2008
20%
40% 2009x2
x2
0%
20%
Rural Urban Unbanked Banked
![Page 20: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/20.jpg)
Expansion to Non‐Bank‐SaversExpansion to Non Bank Savers
20082009
Probability of saving with a bank10 saving with a bank
![Page 21: The and Impact of Mobile Money in Kenya: Results from a Panel Surveyfaculty.georgetown.edu/wgj/papers/MPESA_Slides-Nov-2010.pdf · 2014-05-05 · The Adoption and Impact of Mobile](https://reader034.fdocuments.in/reader034/viewer/2022042110/5e8a7e4c18e71a1ef12dd98f/html5/thumbnails/21.jpg)
Bank Saving by M‐PESA User StatusBank Saving by M PESA User StatusShare of households who use a bank account to save80%
40%
60%
Non‐users
20%
40% Non usersUsersAll hhlds
0%
20%
0%
2008 2009
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Internal Remittances in KenyaInternal Remittances in KenyaShares of households making remittances
2008 2009 Send Receive Send Receive
Total 46% 38% 49% 45%By geographic locationRural 34% 36% 36% 45%Urban 55% 40% 58% 46%> >
<<
By M‐PESA useNon‐user 32% 26% 17% 19%User 65% 54% 63% 58%^ ^ ^ ^
• Suggestive of net urban‐rural flow?• M PESA→remi ances or remi ances→M PESA?• M‐PESA →remi ances, or remi ances → M‐PESA?
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M‐PESA Adoption and RemittancesM PESA Adoption and Remittances
0 7
0.8
Share who send money0.7
Share who receive money
0 4
0.5
0.6
0.7
Never0.4
0.5
0.6
Never
0 1
0.2
0.3
0.4Late
Early
0.1
0.2
0.3 Late
Early
0
0.1
Round 1 Round 2
0
Round 1 Round 2
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Frequency of M‐PESA UseFrequency of M PESA Use
40%
30%
40%
20%
10%
0%
Daily Weekly Every 2 Weeks Monthly Every 3 M h
Every 6 M h
Less OftenMonths Months
2008 2009
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How Households SaveHow Households Save100%
60%
80%
40%
60%
2008
20%
2008
2009
0%
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Primary Savings VehiclesPrimary Savings VehiclesMost important saving instrument
Other
2008 2009
M‐PESA7%
9%
M‐PESA16%
Other5%
Bank50%
ROSCA10% Bank
47%ROSCA10%
Mattress
10%
Mattress24% Mattress
22%
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Supplemental SavingsSupplemental SavingsSecond most important saving instrument
BankBank
2008 2009By 2009, half of all households said M PESA was one
11%Other17%
9%Other24%
M‐PESA was one of their two most important savings instrument
Mattress23%Mattress
30%
instrument
M‐PESA33%
M‐PESA21%
ROSCA16%ROSCA
16%
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Risk Spreading• Many Kenyans are exposed to high levels of uncertainty
– Crop failure, Health shocks, Job loss, etc.
• We find that general consumption and food in particular fluctuate with income
b bl h l• But, M‐PESA users are better able to protect themselves and to reduce fluctuations in consumption. True for
Households with users (difference in difference)– Households with users (difference in difference)– Households who live close to M‐PESA agents (reduced form DID),),
– Both (triple difference)
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Basic Difference in Difference ResultsBasic Difference in Difference Results Dependent Variable: Log of Per Capita Household Consumption
No Controls Some Controls All ControlsNo Controls Some Controls All ControlsM‐PESA User 0.506*** 0.493*** 0.086***
Strong Negative Shock ‐0.317*** ‐0.181*** ‐0.404***
M‐PESA User x Strong Negative Shock 0.215*** 0.146*** 0.148***
Strong Positive Shock 0.047 0.148* 0.299
M‐PESA User x Strong Positive Shock 0.016 ‐0.031 ‐0.079
Overall Effect of Negative Shock for Users
‐0.102***[0.037]
‐0.035[0.030]
0.001[0.024]
Overall Effect of Negative Shock for ‐0.317 *** ‐0.181*** ‐0.072***gNon‐Users [0.038] [0.034] [0.027]Overall Effect of Negative Shock ‐0.197***
[0.029]‐0.099***[0.023]
‐0.0312*[0.019]
All regressions include a time dummy. Some controls include household demographics. All controls adds the use of various other financial instruments, wealth, years of education, other education dummies and the interactions of all these controls with each of positive and negative shocks. Standard errors in brackets where reported. *** p<0.01, ** p<0.05, * p<0.1.
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Basic Difference in Difference ResultsBasic Difference in Difference Results• M‐PESA improves the ability to weather serious negative
economic shockseconomic shocks
• Negative shocks cause non‐users of M‐PESA to reduce their consumption by about 7% (see column 3)consumption by about 7% (see column 3)
• However, M‐PESA users can smooth these shocks perfectly– Some of this comes from the fact that users are wealthier, more
educated, etc. – But, M‐PESA itself is a significant source of risk spreading (see the
coefficients reported in row 3)coefficients reported in row 3)
• Find similar, indeed somewhat stronger, results for food iconsumption
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Looking at Food ConsumptionLooking at Food ConsumptionDependent Variable: Log of Per Capita Household Food Consumption
No Controls All ControlsNo Controls All ControlsM‐PESA User 0.276*** 0.022
Strong Negative Shock ‐0.254*** ‐0.188
M‐PESA User x Strong Negative Shock 0.174*** 0.107***
Strong Positive Shock 0.041 0.265
M‐PESA User x Strong Positive Shock ‐0 070 ‐0 102M‐PESA User x Strong Positive Shock ‐0.070 ‐0.102
Overall Effect of Negative Shock for Users ‐0.080***[0.030]
‐0.004[0.021]
Overall Effect of Negative Shock for Non Users 0 254*** 0 063***Overall Effect of Negative Shock for Non‐Users ‐0.254[0.034]
‐0.063[0.023]
Overall Effect of Negative Shock ‐0.157***[0 023]
‐0.030*[0 016][0.023] [0.016]
All regressions include a time dummy. Some controls include household demographics. All controls adds the use of various other financial instruments, wealth, years of education, other education dummies and the interactions of all these controls with each of positive and negative shocks. Standard errors in brackets where reported. *** p<0.01, ** p<0.05, * p<0.1.
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ConclusionConclusion• M‐PESA use has expanded down the income distribution,
across the gender divide, and out to the rural areas
• The agent network has deepened and widened improving• The agent network has deepened and widened, improving access
• Use of M‐PESA as a savings instrument has increased
f f f• We also find that M‐PESA significantly improves the ability of households in Kenya to smooth risks