Impact Of Mobile Money (Jack & Suri, Lee: Training, Riley: Social Pressure) Flashcards
Jack and Suri: what was the research question
See how a shock effects M-PESA users vs non users
Done by a regression
Yijt =γShockijt +θXijt +αi +njt +πt +εijt
Individual i living in j at time t
Results: What happens to…
Consumption per capita in a shock?
total expenditure
medical expenditure in a health shock
non-food expenditure
food expenditure
Consumption per capita increases for M-PESA users, falls for non-users following a shock. (Users are more resilient to shocks; can borrow money from far away risk network)
Total expenditure increased for M-PESA, fell for non.
Medical expenditure increased for both. (Makes sense as health shock)
Non-food expenditure increased for M-PESA, fell for non.
Food consumption increased for M-PESA, fell for non.
(so basically all increased for M-PESA users, and all fell for nonusers EXCEPT MEDICAL AS EXPECTED)
Effect on likelyhood of receiving remittances following a shock
M-PESA users have a higher likelihood of receiving remittances, since can get money easier from their more diverse risk network
Effect on networks (no. of people sending remittances) following a shock
M-PESA users - Number of people sending remittances increased (network increased), while non users the number reduces overtime.
What happens if M-PESA agent is close
Closer , easier to access to M-PESA and adapt to a shock better (2017-2015 went from 46% to 68% within 1km)
Do male headed or female headed households perform better?
Females allocate expenditures towards the welfare of the family.
(remember earlier in savings topic of why ROSCAS exist: Anderson & Baland: to protect female income: men spend on personal consumption e.g cigarettes)
Is occupational diversification away from farming good or bad?
good, less prone/affected by shocks.
Overalll results of Jack and Suri
How much did M-PESA reduce poverty by?
How many women switched occupation (away from farming), and to what?
2% (196K households out of extreme poverty)
186K women switched from farming to business/retail. Reducing vulnerability to shocks
Lee et al:
Gave training on how to use mobile money, and then study effects on:
consumption, education (hours studied) , migrants SoL, savings/borrowing
(Similar to Cai et al in the topic of insurance, where they found payoffs were beneficial in increasing insurance renewal for farmers ONLY with financial education in the long run!)
4 significant findings following the training
(Consumption, hours studied, migrant workers, saving/borrowing)
Consumption increased
Hours studied increased
Migrant workers living standards improved
Savings increased, so borrowing fell! (putting money away virtually is better than negative returns to saving at home!)
Riley: what was the research question and the research design?
(Hint: businesswomen in Uganda)
Is pressure to share money why business remain small and unprofitable?
Design:
Control group got a cash loan
2nd: MM account access + cash loan
3rd: business labelled MM account + loan ON the MM account.
How does mobile money raise women’s empowerment (2)
increases women’s bargaining power within the household
better enabling women to enact their preferences
Other evidence of MM raising women’s empowerment (2
Aker - MM raises women’s decision making power
Bastian - MM saving accounts increased empowerment in Tanzania
Findings in Riley in terms of business outcomes
3rd group: Mobile account + mobile loan - increased profits and capital (investment) , but not savings.
Cash has no impact (so pressured to share!)
So for these reasons, Riley also looked at social pressure to share money. How?
Created Index of social pressure to share money