Commitments to Save - Innovations for Poverty Action

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• Compared to control group, commitment treatment leads to 72% higher agricultural inputs in next season 120,000 Inputs 100,000 97,199 80,000 70,055 60,000 56,519 40,000 20,000 0 Control Ordinary Ordinary + commitment Note: Dependent variable expressed in Malawi kwacha. Exchange rate is roughly MK145/USD. 28
• Compared to control group, commitment treatment leads to 72% higher agricultural inputs in next season 120,000 Inputs 100,000 97,199 80,000 60,000 56,519 70,055 This increase is statistically significantly different from zero 40,000 20,000 0 Control Ordinary Ordinary + commitment Note: Dependent variable expressed in Malawi kwacha. Exchange rate is roughly MK145/USD. 29
Page 1 and 2: Commitments to Save: A Field Experi
Page 3 and 4: Raising Malawian agricultural produ
Page 5 and 6: Raising farm output with rural fina
Page 7 and 8: Vicious circles in input or credit
Page 9 and 10: Increased incomes via savings facil
Page 11 and 12: Why might farmers have trouble savi
Page 13 and 14: Why might farmers have trouble savi
Page 15 and 16: The agricultural cycle in Malawi Ra
Page 17 and 18: Key questions • What is the impac
Page 19 and 20: Related past work • Ashraf, Karla
Page 21 and 22: Two types of savings treatments 1.
Page 23 and 24: Project timing Baseline + offer of
Page 25 and 26: 40,000 35,000 30,000 25,000 20,000
Page 27: 40,000 35,000 30,000 25,000 20,000
Page 31 and 32: • As a result, weekly food expend
Page 33 and 34: • Commitment group withdraws more
Page 35 and 36: Balance revelation treatments • O
Page 37 and 38: Effect of public and private raffle
Page 39 and 40: External validity: some caveats •
Page 41 and 42: Extra slides 41
Page 43 and 44: Measuring impacts • Outcomes in O
Page 45: Regression results: outcomes Impact

Commitments to Save - Innovations for Poverty Action

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