SlideShare a Scribd company logo
1 of 21
1
Aspirations and Poverty in Rural Ethiopia
Tanguy Bernard1, Stefan Dercon2, Kate Orkin3, Fanaye Tadesse1,
Alemayehu Seyoum Taffesse1, and Ibrahim Worku1
1International Food Policy Research Institute
2 University of Oxford, 3 University of Cambridge
iiG Conference: Improving Institutions for Growth
20-21 March 2015
St Catherine’s College, University of Oxford
27/03/2015
 Motivation and research agenda;
 Aspirations
 Aspiration and poverty – suggestive evidence
 Field experiment – design and findings
 Report on the direct effects on aspirations;
 Summarize results related to beliefs, preferences, and future-oriented
behaviour
Outline
27/03/2015 2
Motivation - Initial
27/03/2015 3
 Fatalism
 Examples:
“We live only for today”;
“It is a life of no thought for tomorrow”;
“We have neither a dream nor an imagination”
Rahmato and Kidanu (1999)
 General - lack of proactive and systematic effort to better one’s own
life;
 Economic perspective – not making the ‘investments to better one's
life’ or exploit and/or create opportunities.
Evidence: underinvestment by the poor is common and can be a source
of persistence in poverty and inequality
Step 1: Correlations
Step 2: Measurement
Step 3: Treatment
Step 4: Experiment
Step 5: Replications
Research program
With parallel implementation as
demanded by circumstances
Aspirations – what, why?
27/03/2015 5
Aspirations:
 are goals or boundary-states sought after with respect to a relevant
domain of choice (future-oriented);
 Aspirations and expectations – preferences vs. beliefs;
 Aspirations are important for analysing and/or addressing
poverty:
 Condition individual behaviour and well-being (motivators );
 Are distributed unevenly within communities – beliefs, experience,
personality;
 Are context-dependent and changing;
Correlates and Selected Outcomes
27/03/2015 6
Improved
seed use
Fertilizer
use
Radio
ownership
Girls
school
ratio
School
ratio – all
school-age
children
LoC - Internal
0.0064** 0.0060* 0.0095*** 0.0071*** 0.0050**
(0.003) (0.003) (0.002) (0.002) (0.002)
LoC - Chance
-0.0015 -0.0144*** -0.0034* 0.0031 0.0016
-0.003 -0.004 (0.002) (0.003) (0.003)
LoC-Others
-0.0035 -0.0044 -0.0040** -0.0097*** -0.0086***
-0.003 -0.003 (0.002) (0.003) (0.003)
Self-reported
wealth
0.0361*** 0.0647*** 0.0496*** 0.0375*** 0.0307***
Controls – sex, age, education; village clustered standard errors.
Suggestive Evidence - Wealth Aspiration I
Ethiopian Rural Households Survey (ERHS)
 Spatial coverage: 15 Kebeles (villages);
 Temporal coverage: 1993/94-2009 (7 rounds the last three roughly one every 5
years)
Wealth Aspirations
 Round 7 Question: We would now like you to think of your own wealth.
Thinking of a scale from 1 (the lowest or worst level) to 10 (the highest or
best level):
Q39a. At what level do you believe you are currently?
Q39b. At what level would you like to be?
 Estimation
 Use ordered responses to Q39b as the dependent variable;
o ordered probit model (basic, generalized, semi-nonparametric);
 Robust/Clustered standard errors
27/03/2015 7
Marginal Effects – All Rounds
dy/dx per one SD change (%)
Shock
Median income
growth of
neighbors
(round7-round6)
Median
income
growth (all
rounds)
Number of
rounds
respondent
was poor
Pr(Wealth Aspiration = 1) 1.92 -3.44 0.00 2.30
Pr(Wealth Aspiration = 2) 0.79 -3.44 0.00 0.88
Pr(Wealth Aspiration = 3) 1.36 0.00 -2.60 0.00
Pr(Wealth Aspiration = 4) -3.84 -6.88 5.19 -2.65
Pr(Wealth Aspiration = 5) -0.23 13.77 0.00 -0.71
Mean (SD) 2.4 (1.1) -18.3 (34.4) 3.3 (26.0) 2.8 (1.8)
Note: Figures in red are statistically significant at least at 10% level of significance. Controls
include: sex, age, marital status, education, participation in non-farm activities, Iddir
membership.
Comparable results when assets or self-reported wealth rank is used instead of
income, as well as when the analysis is restricted to rounds 6 and 7 only;
27/03/2015 8
Suggestive Evidence - Wealth Aspirations II
dy/dx per one SD change (%)
Self-reported
wealth
Median self-reported
wealth in the village
Log (Asset Aspiration)
Mean = 11.02, SD = 1.37
29.0 9.1
Mean (SD) 4.4 (1.1) 4.13 (0.35)
Note: Figures in red are statistically significant at least at 1% level of significance.
Controls include: sex, age, marital status, education, participation in non-farm activities,
Iddir membership.
27/03/2015 9
Insurance Data
 Surveys of the Index Insurance Study 2011-2014;
 Baseline and four follow-up household surveys of 1760 randomly
selected households.
 Aspiration module added in the last round;
Observations
 Results
 Poorer individuals have on average lower aspirations;
 Results persist across specifications;
 Panel data used, but happy to consider them as correlations;
 Issues
 Measurement – revealed vs. declared – develop an instrument
 Identification – correlations vs. causal links (poverty–low
aspirations) – field experiment
27/03/2015 10
Specific Question
27/03/2015 11
Is it possible to alter poor individuals’ aspirations and link
changes thereof to behavior using an experimental design in a
real-world setting?
 Measure aspirations;
 Introduce an exogenous shock to aspiration;
 Estimate impact on aspirations, correlates/determinants, and
behaviour;
 Four dimensions
 income, assets, education, social status
 weights
 Five questions;
 What is the maximum (minimum) level of (dimension k) that one can have in
have in your current neighborhood?
 What is the minimum level of (dimension k) that one can have in your current
current neighborhood?”
 What is the level of (dimension k) that you have at present?”
 What is the level of (dimension k) that you would like to achieve in your life?”
Measurement of Aspiration
27/03/2015 12
Experimental design: individual treatment
27/03/2015 13
 64 villages. Random selection of 6 treatment HH, 6 placebo HH, 6
control HH. Head and spouse treated.
 3 arms:
 Treatment: ticket to view mini-documentaries about similar people who were
successful in agriculture or small business.
o No other intervention.
o 4 x 15 minute documentaries (2 men, 2 women) = 1 hour in Oromiffa
o Examples on CSAE Oxford YouTube channel
 Placebo: local Ethiopian TV show in 15 minute segments.
 Control: surveyed at their home.
 3 rounds of data collection:
 baseline (Sept-Dec 2010),
 aspirations immediately after treatment,
 follow-up six months later (Mar-May 2011).
On going experiment
27/03/2015 14
Measures of aspirations
27/03/2015 15
 Four dimensions:
 Annual income in cash
 Assets: house, furniture, consumer goods, vehicles
 Social status: do villagers ask advice
 Level of education of oldest child
 Aspirations vs. Expectations:
 What is the level of ___ that you would like to achieve?
 What is the level of ___ that you think you will reach within ten years?
 Overall aspiration index:
𝐴𝑖 =
𝑘
w𝑖
𝑘 𝑎𝑖
𝑘
− 𝜇 𝑘
𝜎 𝑘
𝑎𝑖
𝑘
= individual 𝑖’s aspiration response to dimension 𝑘.
𝑤𝑖
𝑘
= weight individual 𝑖 assigned to dimension 𝑘.
𝜇 𝑘, 𝜎 𝑘 = village sample mean and standard deviation for dimension 𝑘.
Specification
27/03/2015 16
𝐴𝑖 =
𝑘
w𝑖
𝑘 𝑎𝑖
𝑘
− 𝜇 𝑘
𝜎 𝑘
𝑎𝑖
𝑘
= individual 𝑖’s aspiration response to dimension 𝑘.
𝑤𝑖
𝑘
= weight individual 𝑖 assigned to dimension 𝑘.
𝜇 𝑘, 𝜎 𝑘 = village sample mean and standard deviation for dimension 𝑘.
Results
27/03/2015 17
After screening (t=1)
Aspirations Expectations
Treated individual 0.13*
0.13*
0.12*
0.12**
0.12**
0.11**
0.07 0.07 0.06 0.06 0.05 0.05
Placebo individual 0 0 0 0.02 0.03 0.03
0.03 0.03 0.03 0.04 0.04 0.03
Village F.E. Yes Yes Yes Yes Yes Yes
Lagged outcome No Yes Yes No Yes Yes
Controls No No Yes No No Yes
Respondents 1959 1957 1957 1959 1954 1954
 Small treatment effects on aspiration immediately (about 20% of SD).
 No placebo effect;
Results
27/03/2015 18
After six months (t=2)
Aspirations Expectations
Treated individual 0.04*
0.04*
0.03*
0.06***
0.06***
0.05**
0.02 0.02 0.02 0.02 0.02 0.02
Placebo individual 0.03 0.02 0.03 0.02 0.02 0.03
0.02 0.02 0.02 0.02 0.02 0.02
Village F.E. Y es Yes Yes Yes Yes Yes
Lagged outcome No Yes Yes No Yes Yes
Controls No No Yes No No Yes
Respondents 2063 2058 2058 2062 2054 2054
 Small effects on aspiration after 6 months (about 3-5% of SD);
 No placebo effect;
27/03/2015 19
Observations
 Watching documentaries about role models improves
aspirations compared to a control group and, in some cases,
compared to a placebo group.
 Driven by those with above-median aspirations at baseline.
 No changes in risk aversion and time preferences.
 Improvements in individuals’ sense that they control their lives (LoC,
causes of poverty).
 Small effects on ‘forward-looking behaviour’ - children’s
school enrolment, spending on schooling, hypothetical desire
for credit - that are robust to multiple testing.
 Effects on savings, credit are not robust to multiple testing.
27/03/2015 20
Observations
 Note:
 The treatment is “weak“ – an aspirational intervention alone;
 Effects on behaviour are small and diminishing – but can have lasting
effects (e.g. one additional year of schooling)
 Repeat survey to be conducted soon
27/03/2015 21
Thank you

More Related Content

What's hot

What's hot (20)

Economic conditions and lived poverty in Bostwana
Economic conditions and lived poverty in BostwanaEconomic conditions and lived poverty in Bostwana
Economic conditions and lived poverty in Bostwana
 
The Feed The Future Zone of influence in Bangladesh: Changes in selected indi...
The Feed The Future Zone of influence in Bangladesh: Changes in selected indi...The Feed The Future Zone of influence in Bangladesh: Changes in selected indi...
The Feed The Future Zone of influence in Bangladesh: Changes in selected indi...
 
UNU WIDER Conf de Groot
UNU WIDER Conf de GrootUNU WIDER Conf de Groot
UNU WIDER Conf de Groot
 
IAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. Dawas
IAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. DawasIAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. Dawas
IAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. Dawas
 
From Evidence to Action
From Evidence to Action From Evidence to Action
From Evidence to Action
 
Poverty and perceived stress: evidence from two unconditional cash transfer p...
Poverty and perceived stress: evidence from two unconditional cash transfer p...Poverty and perceived stress: evidence from two unconditional cash transfer p...
Poverty and perceived stress: evidence from two unconditional cash transfer p...
 
UNU WIDER Conf Pace
UNU WIDER Conf PaceUNU WIDER Conf Pace
UNU WIDER Conf Pace
 
Can unconditional cash transfers lead to sustainable poverty reduction?
Can unconditional cash transfers lead to sustainable poverty reduction?Can unconditional cash transfers lead to sustainable poverty reduction?
Can unconditional cash transfers lead to sustainable poverty reduction?
 
Demographic profile of india
Demographic profile of indiaDemographic profile of india
Demographic profile of india
 
Impact of the Kenya Cash Transfer for Orphans and Vulnerable Children on safe...
Impact of the Kenya Cash Transfer for Orphans and Vulnerable Children on safe...Impact of the Kenya Cash Transfer for Orphans and Vulnerable Children on safe...
Impact of the Kenya Cash Transfer for Orphans and Vulnerable Children on safe...
 
Findings from the Transfer Project
Findings from the Transfer ProjectFindings from the Transfer Project
Findings from the Transfer Project
 
Impacts of cash transfers on schooling
Impacts of cash transfers on schoolingImpacts of cash transfers on schooling
Impacts of cash transfers on schooling
 
Demography
DemographyDemography
Demography
 
Demography and its indicators
Demography and its indicatorsDemography and its indicators
Demography and its indicators
 
demography OBG
demography OBGdemography OBG
demography OBG
 
Economic Lives of the Poor in Rural Ethiopia
Economic Lives of the Poor in Rural EthiopiaEconomic Lives of the Poor in Rural Ethiopia
Economic Lives of the Poor in Rural Ethiopia
 
UNU WIDER Conf Daidone 2
UNU WIDER Conf Daidone 2UNU WIDER Conf Daidone 2
UNU WIDER Conf Daidone 2
 
What Accounts for Health Disparities - Stephen Klineberg, Ph.D.
What Accounts for Health Disparities - Stephen Klineberg, Ph.D.What Accounts for Health Disparities - Stephen Klineberg, Ph.D.
What Accounts for Health Disparities - Stephen Klineberg, Ph.D.
 
UNU WIDER Conf Daidone 1
UNU WIDER Conf Daidone 1UNU WIDER Conf Daidone 1
UNU WIDER Conf Daidone 1
 
USA Population 2016
USA Population 2016USA Population 2016
USA Population 2016
 

Similar to Aspirations and Poverty in Rural Ethiopia

Estimating Health Risks
Estimating Health RisksEstimating Health Risks
Estimating Health Risks
Sanjay Gadi
 
Final Presentation- Tahsina Mame
Final Presentation- Tahsina MameFinal Presentation- Tahsina Mame
Final Presentation- Tahsina Mame
Nadia Ayman
 

Similar to Aspirations and Poverty in Rural Ethiopia (20)

The future in mind aspirations and forward-looking behaviour in rural ethio...
The future in mind   aspirations and forward-looking behaviour in rural ethio...The future in mind   aspirations and forward-looking behaviour in rural ethio...
The future in mind aspirations and forward-looking behaviour in rural ethio...
 
Aspirations and Poverty in Rural Ethiopia
Aspirations and Poverty in Rural EthiopiaAspirations and Poverty in Rural Ethiopia
Aspirations and Poverty in Rural Ethiopia
 
Parental Aspirations for Children's Education: Is There a "Girl Effect"? Expe...
Parental Aspirations for Children's Education: Is There a "Girl Effect"? Expe...Parental Aspirations for Children's Education: Is There a "Girl Effect"? Expe...
Parental Aspirations for Children's Education: Is There a "Girl Effect"? Expe...
 
Parental Aspirations for Children's Education: Is there a "Girl Effect"? Expe...
Parental Aspirations for Children's Education: Is there a "Girl Effect"? Expe...Parental Aspirations for Children's Education: Is there a "Girl Effect"? Expe...
Parental Aspirations for Children's Education: Is there a "Girl Effect"? Expe...
 
Formation of Aspirations – An Empirical Analysis
Formation of Aspirations –An Empirical AnalysisFormation of Aspirations –An Empirical Analysis
Formation of Aspirations – An Empirical Analysis
 
Pathways Less Explored – Locus of Control and Technology Adoption
Pathways Less Explored – Locus of Control and Technology AdoptionPathways Less Explored – Locus of Control and Technology Adoption
Pathways Less Explored – Locus of Control and Technology Adoption
 
Learning with Others - A Randomized Field Experiment on the Formation of Aspi...
Learning with Others - A Randomized Field Experiment on the Formation of Aspi...Learning with Others - A Randomized Field Experiment on the Formation of Aspi...
Learning with Others - A Randomized Field Experiment on the Formation of Aspi...
 
Measuring employment and consumption in household surveys: Reflections from t...
Measuring employment and consumption in household surveys: Reflections from t...Measuring employment and consumption in household surveys: Reflections from t...
Measuring employment and consumption in household surveys: Reflections from t...
 
Cartagena Data Festival 2015: Making older people count Pt 1
Cartagena Data Festival 2015: Making older people count Pt 1Cartagena Data Festival 2015: Making older people count Pt 1
Cartagena Data Festival 2015: Making older people count Pt 1
 
Parental aspirations for children's education
Parental aspirations for children's education Parental aspirations for children's education
Parental aspirations for children's education
 
Parental aspirations for children's education–is there a“girl effect”? Experi...
Parental aspirations for children's education–is there a“girl effect”? Experi...Parental aspirations for children's education–is there a“girl effect”? Experi...
Parental aspirations for children's education–is there a“girl effect”? Experi...
 
Pathways Less Explored – Aspirations, Locus of Control, and Agricultural Tran...
Pathways Less Explored – Aspirations, Locus of Control, and Agricultural Tran...Pathways Less Explored – Aspirations, Locus of Control, and Agricultural Tran...
Pathways Less Explored – Aspirations, Locus of Control, and Agricultural Tran...
 
Concrete and Whole-Picture Type Indices to Measure Policy Preference over Inc...
Concrete and Whole-Picture Type Indices to Measure Policy Preference over Inc...Concrete and Whole-Picture Type Indices to Measure Policy Preference over Inc...
Concrete and Whole-Picture Type Indices to Measure Policy Preference over Inc...
 
Estimating Health Risks
Estimating Health RisksEstimating Health Risks
Estimating Health Risks
 
chapter 3 Demography.pptx
chapter 3 Demography.pptxchapter 3 Demography.pptx
chapter 3 Demography.pptx
 
Government Unconditional Transfers and Safe Transitions into Adulthood - Lamb...
Government Unconditional Transfers and Safe Transitions into Adulthood - Lamb...Government Unconditional Transfers and Safe Transitions into Adulthood - Lamb...
Government Unconditional Transfers and Safe Transitions into Adulthood - Lamb...
 
Women’s Empowerment in Agriculture and Nutritional Outcomes in Ethiopia
Women’s Empowerment in Agriculture and Nutritional Outcomes in EthiopiaWomen’s Empowerment in Agriculture and Nutritional Outcomes in Ethiopia
Women’s Empowerment in Agriculture and Nutritional Outcomes in Ethiopia
 
Final Presentation- Tahsina Mame
Final Presentation- Tahsina MameFinal Presentation- Tahsina Mame
Final Presentation- Tahsina Mame
 
Dr Hannah Christensen @ MRF's Meningitis & Septicaemia in Children & Adults 2017
Dr Hannah Christensen @ MRF's Meningitis & Septicaemia in Children & Adults 2017Dr Hannah Christensen @ MRF's Meningitis & Septicaemia in Children & Adults 2017
Dr Hannah Christensen @ MRF's Meningitis & Septicaemia in Children & Adults 2017
 
Linxiu Zhang, Chinese Academy of Sciences "Better Nutrition and Health throug...
Linxiu Zhang, Chinese Academy of Sciences "Better Nutrition and Health throug...Linxiu Zhang, Chinese Academy of Sciences "Better Nutrition and Health throug...
Linxiu Zhang, Chinese Academy of Sciences "Better Nutrition and Health throug...
 

More from essp2

More from essp2 (20)

Constrained Multiplier Analysis.pdf
Constrained Multiplier Analysis.pdfConstrained Multiplier Analysis.pdf
Constrained Multiplier Analysis.pdf
 
Unconstrained Multiplier Analysis.pptx
Unconstrained Multiplier Analysis.pptxUnconstrained Multiplier Analysis.pptx
Unconstrained Multiplier Analysis.pptx
 
1.Introduction to SAMs.pptx
1.Introduction to SAMs.pptx1.Introduction to SAMs.pptx
1.Introduction to SAMs.pptx
 
ESS Data from a Users Perspective
ESS Data from a Users Perspective ESS Data from a Users Perspective
ESS Data from a Users Perspective
 
Sustainable Food Systems
Sustainable Food Systems Sustainable Food Systems
Sustainable Food Systems
 
Impact of the PSNP (2006-2021)
Impact of the PSNP (2006-2021)Impact of the PSNP (2006-2021)
Impact of the PSNP (2006-2021)
 
Some Welfare Consequences of COVID-19 in Ethiopia
Some Welfare Consequences of COVID-19 in EthiopiaSome Welfare Consequences of COVID-19 in Ethiopia
Some Welfare Consequences of COVID-19 in Ethiopia
 
Improving evidence for better policy making in Ethiopia’s livestock sector
Improving evidence for better policy making in Ethiopia’s livestock sector Improving evidence for better policy making in Ethiopia’s livestock sector
Improving evidence for better policy making in Ethiopia’s livestock sector
 
The COVID-19 Pandemic and Food Security in Ethiopia – An Interim Analysis
The COVID-19 Pandemic and Food Security in Ethiopia – An Interim AnalysisThe COVID-19 Pandemic and Food Security in Ethiopia – An Interim Analysis
The COVID-19 Pandemic and Food Security in Ethiopia – An Interim Analysis
 
COVID-19 and its impact on Ethiopia’s agri-food system, food security, and nu...
COVID-19 and its impact on Ethiopia’s agri-food system, food security, and nu...COVID-19 and its impact on Ethiopia’s agri-food system, food security, and nu...
COVID-19 and its impact on Ethiopia’s agri-food system, food security, and nu...
 
Key Reforms in Agricultural Sector
Key Reforms in Agricultural SectorKey Reforms in Agricultural Sector
Key Reforms in Agricultural Sector
 
AFFORDABILITY OF Nutritious foods IN ETHIOPIA
AFFORDABILITY OF Nutritious foods IN ETHIOPIAAFFORDABILITY OF Nutritious foods IN ETHIOPIA
AFFORDABILITY OF Nutritious foods IN ETHIOPIA
 
The EAT Lancet Publication: Implications for Nutrition Health and Planet
The EAT Lancet Publication: Implications for Nutrition Health and PlanetThe EAT Lancet Publication: Implications for Nutrition Health and Planet
The EAT Lancet Publication: Implications for Nutrition Health and Planet
 
Sustainable Undernutrition Reduction in Ethiopia (SURE): Evaluation studies
Sustainable Undernutrition Reduction in Ethiopia (SURE): Evaluation studies Sustainable Undernutrition Reduction in Ethiopia (SURE): Evaluation studies
Sustainable Undernutrition Reduction in Ethiopia (SURE): Evaluation studies
 
Policies and Programs on food and Nutrition in Ethiopia
Policies and Programs on food and Nutrition in EthiopiaPolicies and Programs on food and Nutrition in Ethiopia
Policies and Programs on food and Nutrition in Ethiopia
 
Integrated Use of Social and Behaviour Change Interventions Improved Compleme...
Integrated Use of Social and Behaviour Change Interventions Improved Compleme...Integrated Use of Social and Behaviour Change Interventions Improved Compleme...
Integrated Use of Social and Behaviour Change Interventions Improved Compleme...
 
Bottlenecks for healthy diets in Ethiopia
Bottlenecks for healthy diets in EthiopiaBottlenecks for healthy diets in Ethiopia
Bottlenecks for healthy diets in Ethiopia
 
Diets and stunting in Ethiopia
Diets and stunting in Ethiopia Diets and stunting in Ethiopia
Diets and stunting in Ethiopia
 
Irrigation-Nutrition Linkages
Irrigation-Nutrition LinkagesIrrigation-Nutrition Linkages
Irrigation-Nutrition Linkages
 
Access to health and agricultural extension services
Access to health and agricultural extension services Access to health and agricultural extension services
Access to health and agricultural extension services
 

Recently uploaded

Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899
Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899
Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899
Cara Menggugurkan Kandungan 087776558899
 

Recently uploaded (20)

Make a difference in a girl's life by donating to her education!
Make a difference in a girl's life by donating to her education!Make a difference in a girl's life by donating to her education!
Make a difference in a girl's life by donating to her education!
 
2024 UN Civil Society Conference in Support of the Summit of the Future.
2024 UN Civil Society Conference in Support of the Summit of the Future.2024 UN Civil Society Conference in Support of the Summit of the Future.
2024 UN Civil Society Conference in Support of the Summit of the Future.
 
2024: The FAR, Federal Acquisition Regulations, Part 31
2024: The FAR, Federal Acquisition Regulations, Part 312024: The FAR, Federal Acquisition Regulations, Part 31
2024: The FAR, Federal Acquisition Regulations, Part 31
 
Call Girls Mehsana / 8250092165 Genuine Call girls with real Photos and Number
Call Girls Mehsana / 8250092165 Genuine Call girls with real Photos and NumberCall Girls Mehsana / 8250092165 Genuine Call girls with real Photos and Number
Call Girls Mehsana / 8250092165 Genuine Call girls with real Photos and Number
 
Finance strategies for adaptation. Presentation for CANCC
Finance strategies for adaptation. Presentation for CANCCFinance strategies for adaptation. Presentation for CANCC
Finance strategies for adaptation. Presentation for CANCC
 
Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899
Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899
Cara Gugurkan Pembuahan Secara Alami Dan Cepat ABORSI KANDUNGAN 087776558899
 
Contributi dei parlamentari del PD - Contributi L. 3/2019
Contributi dei parlamentari del PD - Contributi L. 3/2019Contributi dei parlamentari del PD - Contributi L. 3/2019
Contributi dei parlamentari del PD - Contributi L. 3/2019
 
sponsor for poor old age person food.pdf
sponsor for poor old age person food.pdfsponsor for poor old age person food.pdf
sponsor for poor old age person food.pdf
 
3 May, Journalism in the face of the Environmental Crisis.
3 May, Journalism in the face of the Environmental Crisis.3 May, Journalism in the face of the Environmental Crisis.
3 May, Journalism in the face of the Environmental Crisis.
 
Cheap Call Girls In Hyderabad Phone No 📞 9352988975 📞 Elite Escort Service Av...
Cheap Call Girls In Hyderabad Phone No 📞 9352988975 📞 Elite Escort Service Av...Cheap Call Girls In Hyderabad Phone No 📞 9352988975 📞 Elite Escort Service Av...
Cheap Call Girls In Hyderabad Phone No 📞 9352988975 📞 Elite Escort Service Av...
 
Panchayath circular KLC -Panchayath raj act s 169, 218
Panchayath circular KLC -Panchayath raj act s 169, 218Panchayath circular KLC -Panchayath raj act s 169, 218
Panchayath circular KLC -Panchayath raj act s 169, 218
 
NAP Expo - Delivering effective and adequate adaptation.pptx
NAP Expo - Delivering effective and adequate adaptation.pptxNAP Expo - Delivering effective and adequate adaptation.pptx
NAP Expo - Delivering effective and adequate adaptation.pptx
 
Coastal Protection Measures in Hulhumale'
Coastal Protection Measures in Hulhumale'Coastal Protection Measures in Hulhumale'
Coastal Protection Measures in Hulhumale'
 
Call Girls in Moti Bagh (delhi) call me [8448380779] escort service 24X7
Call Girls in Moti Bagh (delhi) call me [8448380779] escort service 24X7Call Girls in Moti Bagh (delhi) call me [8448380779] escort service 24X7
Call Girls in Moti Bagh (delhi) call me [8448380779] escort service 24X7
 
Call Girls Basheerbagh ( 8250092165 ) Cheap rates call girls | Get low budget
Call Girls Basheerbagh ( 8250092165 ) Cheap rates call girls | Get low budgetCall Girls Basheerbagh ( 8250092165 ) Cheap rates call girls | Get low budget
Call Girls Basheerbagh ( 8250092165 ) Cheap rates call girls | Get low budget
 
An Atoll Futures Research Institute? Presentation for CANCC
An Atoll Futures Research Institute? Presentation for CANCCAn Atoll Futures Research Institute? Presentation for CANCC
An Atoll Futures Research Institute? Presentation for CANCC
 
Election 2024 Presiding Duty Keypoints_01.pdf
Election 2024 Presiding Duty Keypoints_01.pdfElection 2024 Presiding Duty Keypoints_01.pdf
Election 2024 Presiding Duty Keypoints_01.pdf
 
Tuvalu Coastal Adaptation Project (TCAP)
Tuvalu Coastal Adaptation Project (TCAP)Tuvalu Coastal Adaptation Project (TCAP)
Tuvalu Coastal Adaptation Project (TCAP)
 
AHMR volume 10 number 1 January-April 2024
AHMR volume 10 number 1 January-April 2024AHMR volume 10 number 1 January-April 2024
AHMR volume 10 number 1 January-April 2024
 
Antisemitism Awareness Act: pénaliser la critique de l'Etat d'Israël
Antisemitism Awareness Act: pénaliser la critique de l'Etat d'IsraëlAntisemitism Awareness Act: pénaliser la critique de l'Etat d'Israël
Antisemitism Awareness Act: pénaliser la critique de l'Etat d'Israël
 

Aspirations and Poverty in Rural Ethiopia

  • 1. 1 Aspirations and Poverty in Rural Ethiopia Tanguy Bernard1, Stefan Dercon2, Kate Orkin3, Fanaye Tadesse1, Alemayehu Seyoum Taffesse1, and Ibrahim Worku1 1International Food Policy Research Institute 2 University of Oxford, 3 University of Cambridge iiG Conference: Improving Institutions for Growth 20-21 March 2015 St Catherine’s College, University of Oxford 27/03/2015
  • 2.  Motivation and research agenda;  Aspirations  Aspiration and poverty – suggestive evidence  Field experiment – design and findings  Report on the direct effects on aspirations;  Summarize results related to beliefs, preferences, and future-oriented behaviour Outline 27/03/2015 2
  • 3. Motivation - Initial 27/03/2015 3  Fatalism  Examples: “We live only for today”; “It is a life of no thought for tomorrow”; “We have neither a dream nor an imagination” Rahmato and Kidanu (1999)  General - lack of proactive and systematic effort to better one’s own life;  Economic perspective – not making the ‘investments to better one's life’ or exploit and/or create opportunities. Evidence: underinvestment by the poor is common and can be a source of persistence in poverty and inequality
  • 4. Step 1: Correlations Step 2: Measurement Step 3: Treatment Step 4: Experiment Step 5: Replications Research program With parallel implementation as demanded by circumstances
  • 5. Aspirations – what, why? 27/03/2015 5 Aspirations:  are goals or boundary-states sought after with respect to a relevant domain of choice (future-oriented);  Aspirations and expectations – preferences vs. beliefs;  Aspirations are important for analysing and/or addressing poverty:  Condition individual behaviour and well-being (motivators );  Are distributed unevenly within communities – beliefs, experience, personality;  Are context-dependent and changing;
  • 6. Correlates and Selected Outcomes 27/03/2015 6 Improved seed use Fertilizer use Radio ownership Girls school ratio School ratio – all school-age children LoC - Internal 0.0064** 0.0060* 0.0095*** 0.0071*** 0.0050** (0.003) (0.003) (0.002) (0.002) (0.002) LoC - Chance -0.0015 -0.0144*** -0.0034* 0.0031 0.0016 -0.003 -0.004 (0.002) (0.003) (0.003) LoC-Others -0.0035 -0.0044 -0.0040** -0.0097*** -0.0086*** -0.003 -0.003 (0.002) (0.003) (0.003) Self-reported wealth 0.0361*** 0.0647*** 0.0496*** 0.0375*** 0.0307*** Controls – sex, age, education; village clustered standard errors.
  • 7. Suggestive Evidence - Wealth Aspiration I Ethiopian Rural Households Survey (ERHS)  Spatial coverage: 15 Kebeles (villages);  Temporal coverage: 1993/94-2009 (7 rounds the last three roughly one every 5 years) Wealth Aspirations  Round 7 Question: We would now like you to think of your own wealth. Thinking of a scale from 1 (the lowest or worst level) to 10 (the highest or best level): Q39a. At what level do you believe you are currently? Q39b. At what level would you like to be?  Estimation  Use ordered responses to Q39b as the dependent variable; o ordered probit model (basic, generalized, semi-nonparametric);  Robust/Clustered standard errors 27/03/2015 7
  • 8. Marginal Effects – All Rounds dy/dx per one SD change (%) Shock Median income growth of neighbors (round7-round6) Median income growth (all rounds) Number of rounds respondent was poor Pr(Wealth Aspiration = 1) 1.92 -3.44 0.00 2.30 Pr(Wealth Aspiration = 2) 0.79 -3.44 0.00 0.88 Pr(Wealth Aspiration = 3) 1.36 0.00 -2.60 0.00 Pr(Wealth Aspiration = 4) -3.84 -6.88 5.19 -2.65 Pr(Wealth Aspiration = 5) -0.23 13.77 0.00 -0.71 Mean (SD) 2.4 (1.1) -18.3 (34.4) 3.3 (26.0) 2.8 (1.8) Note: Figures in red are statistically significant at least at 10% level of significance. Controls include: sex, age, marital status, education, participation in non-farm activities, Iddir membership. Comparable results when assets or self-reported wealth rank is used instead of income, as well as when the analysis is restricted to rounds 6 and 7 only; 27/03/2015 8
  • 9. Suggestive Evidence - Wealth Aspirations II dy/dx per one SD change (%) Self-reported wealth Median self-reported wealth in the village Log (Asset Aspiration) Mean = 11.02, SD = 1.37 29.0 9.1 Mean (SD) 4.4 (1.1) 4.13 (0.35) Note: Figures in red are statistically significant at least at 1% level of significance. Controls include: sex, age, marital status, education, participation in non-farm activities, Iddir membership. 27/03/2015 9 Insurance Data  Surveys of the Index Insurance Study 2011-2014;  Baseline and four follow-up household surveys of 1760 randomly selected households.  Aspiration module added in the last round;
  • 10. Observations  Results  Poorer individuals have on average lower aspirations;  Results persist across specifications;  Panel data used, but happy to consider them as correlations;  Issues  Measurement – revealed vs. declared – develop an instrument  Identification – correlations vs. causal links (poverty–low aspirations) – field experiment 27/03/2015 10
  • 11. Specific Question 27/03/2015 11 Is it possible to alter poor individuals’ aspirations and link changes thereof to behavior using an experimental design in a real-world setting?  Measure aspirations;  Introduce an exogenous shock to aspiration;  Estimate impact on aspirations, correlates/determinants, and behaviour;
  • 12.  Four dimensions  income, assets, education, social status  weights  Five questions;  What is the maximum (minimum) level of (dimension k) that one can have in have in your current neighborhood?  What is the minimum level of (dimension k) that one can have in your current current neighborhood?”  What is the level of (dimension k) that you have at present?”  What is the level of (dimension k) that you would like to achieve in your life?” Measurement of Aspiration 27/03/2015 12
  • 13. Experimental design: individual treatment 27/03/2015 13  64 villages. Random selection of 6 treatment HH, 6 placebo HH, 6 control HH. Head and spouse treated.  3 arms:  Treatment: ticket to view mini-documentaries about similar people who were successful in agriculture or small business. o No other intervention. o 4 x 15 minute documentaries (2 men, 2 women) = 1 hour in Oromiffa o Examples on CSAE Oxford YouTube channel  Placebo: local Ethiopian TV show in 15 minute segments.  Control: surveyed at their home.  3 rounds of data collection:  baseline (Sept-Dec 2010),  aspirations immediately after treatment,  follow-up six months later (Mar-May 2011).
  • 15. Measures of aspirations 27/03/2015 15  Four dimensions:  Annual income in cash  Assets: house, furniture, consumer goods, vehicles  Social status: do villagers ask advice  Level of education of oldest child  Aspirations vs. Expectations:  What is the level of ___ that you would like to achieve?  What is the level of ___ that you think you will reach within ten years?  Overall aspiration index: 𝐴𝑖 = 𝑘 w𝑖 𝑘 𝑎𝑖 𝑘 − 𝜇 𝑘 𝜎 𝑘 𝑎𝑖 𝑘 = individual 𝑖’s aspiration response to dimension 𝑘. 𝑤𝑖 𝑘 = weight individual 𝑖 assigned to dimension 𝑘. 𝜇 𝑘, 𝜎 𝑘 = village sample mean and standard deviation for dimension 𝑘.
  • 16. Specification 27/03/2015 16 𝐴𝑖 = 𝑘 w𝑖 𝑘 𝑎𝑖 𝑘 − 𝜇 𝑘 𝜎 𝑘 𝑎𝑖 𝑘 = individual 𝑖’s aspiration response to dimension 𝑘. 𝑤𝑖 𝑘 = weight individual 𝑖 assigned to dimension 𝑘. 𝜇 𝑘, 𝜎 𝑘 = village sample mean and standard deviation for dimension 𝑘.
  • 17. Results 27/03/2015 17 After screening (t=1) Aspirations Expectations Treated individual 0.13* 0.13* 0.12* 0.12** 0.12** 0.11** 0.07 0.07 0.06 0.06 0.05 0.05 Placebo individual 0 0 0 0.02 0.03 0.03 0.03 0.03 0.03 0.04 0.04 0.03 Village F.E. Yes Yes Yes Yes Yes Yes Lagged outcome No Yes Yes No Yes Yes Controls No No Yes No No Yes Respondents 1959 1957 1957 1959 1954 1954  Small treatment effects on aspiration immediately (about 20% of SD).  No placebo effect;
  • 18. Results 27/03/2015 18 After six months (t=2) Aspirations Expectations Treated individual 0.04* 0.04* 0.03* 0.06*** 0.06*** 0.05** 0.02 0.02 0.02 0.02 0.02 0.02 Placebo individual 0.03 0.02 0.03 0.02 0.02 0.03 0.02 0.02 0.02 0.02 0.02 0.02 Village F.E. Y es Yes Yes Yes Yes Yes Lagged outcome No Yes Yes No Yes Yes Controls No No Yes No No Yes Respondents 2063 2058 2058 2062 2054 2054  Small effects on aspiration after 6 months (about 3-5% of SD);  No placebo effect;
  • 19. 27/03/2015 19 Observations  Watching documentaries about role models improves aspirations compared to a control group and, in some cases, compared to a placebo group.  Driven by those with above-median aspirations at baseline.  No changes in risk aversion and time preferences.  Improvements in individuals’ sense that they control their lives (LoC, causes of poverty).  Small effects on ‘forward-looking behaviour’ - children’s school enrolment, spending on schooling, hypothetical desire for credit - that are robust to multiple testing.  Effects on savings, credit are not robust to multiple testing.
  • 20. 27/03/2015 20 Observations  Note:  The treatment is “weak“ – an aspirational intervention alone;  Effects on behaviour are small and diminishing – but can have lasting effects (e.g. one additional year of schooling)  Repeat survey to be conducted soon