SAGA
B16 MVR Hall
Ithaca, NY 14853
(607) 255-8931
Fax (607) 255-0178
saga@cornell.edu
|
SAGA PROGRESS REPORT (12/05-12/06)
&
UPCOMING WORKPLAN (11/06-11/07)
APPENDIX III – TENTATIVE OUTLINE FOR SYNTHESIS VOLUME
Poverty and Well-Being in Africa: A Bottom-Up, Multidimensional, Dynamic Approach
I. Introduction
II. Poverty and Well-being
A. Background and Motivation
1. Theory – multidimensional poverty (Sen)
2. Practice – what to measure?
a. Money metric measures (income/expenditure) good place to start
b. Limitations of income/expenditures
i) Household level – ignores intra-household and individual
outcomes
ii) Doesn’t take into account public good
iii) Ignore issues of vulnerability and role of assets and wealth
c. Other measures should be weakly correlated with income; at least
partially not “purchaseable”
d. What data are usually available?
i) Education
ii) Health
iii) Multiple dimensions – we tend to focus on relatively
narrow aspects of health
iv) Freedom and enfranchisement
v) Happiness
3. Practice - how to measure?
a. Univariate methods – FGT; comparison of distributions
(dominance testing/growth incidence curves)
b. Multivariate methods
i) Motivation
ii) Methods
c. Qualitative methods
4. Relationship of poverty to inequality
a. Ravallion-Datt type decompositions
b. Applications to incomes and distributional changes in non-income
dimensions
c. Discussion on intra-hh aspects
i) Difficulties of defining needs of individuals
ii) Examples from nutrition and health
B. Descriptive results
1. Univariate poverty profiles for Africa (drawn from literature review, but
will have to produce some of the non-income profiles ourselves)
a. Cross-sections
b. Changes over time
2. Multivariate poverty profiles (same as above)
C. Determinants of well-being
1. Income/Expenditures (?)
a. Literature review of cross-section and panel regressions (any
experiments?)
b. Add some of our own, especially non-income and assets
i) Models of ht/age, school attainment, etc
c. Focus on size of coefficients, not just statistical significance
i) Differences of coefficients for same outcome across
countries
ii) Differences across dimensions for different outcomes
within country
2. Health (ditto)
3. Education (ditto)
4. Intra-household results
D. Micro-meso-macro variance decompositions – country/community/individual
1. For some variables, we can generate Africa-wide data for well-being
measures
2. Check to see where most variation comes from - a prior is that it is micro
3. This part might go better in the background and motivation section
III. Dynamics of Poverty and Well-Being
A. Motivation: Why worry about dynamics of poverty and well-being?
1. Standard poverty measures extremely useful, but inherently retrospective
and static … sometimes the more valuable/relevant question is who gets
ahead and who falls behind?
2. Transitions important – can help reveal qualitative difference between
polarized societies and mobile societies; hopelessness
3. Temporal risk ubiquitous and affects behavior … if protection of subjects
is a key responsibility of states, evidence on how shocks affect people is
important for the design and evaluation of policy interventions. Introduces
the concept of vulnerability.
4. Widespread invocation of “poverty traps” term and concept (Sachs etc.)
w/o much precision as to what poverty traps are, why they exist or what to
do about them?
B. Dynamics and Vulnerability: Measurement issues and results
1. Descriptive dynamic poverty measures, various techniques in use:
a. Transition matrices across multiple metrics:
i) Income/expenditure poverty (Fields, etc.)
ii) Productivity/yields (Randrianarisoa)
iii) Assets (Lybbert et al., Carter et al., Barrett et al.)
iiii) Education (e.g., drop outs)
iv) Health and nutrition (e.g., disease state transitions?
Anthropometric measures)
b. Mobility measures (Fields, Morduch, etc.)
c. Recursion diagrams/regressions
d. Technology adoption/market participation dynamics
e. Intergenerational transmission studies (any? Bowles and South
Africa)
2. Vulnerability measures: incorporation of risk and state dependence
a. Christiaensen (thesis, J Afr Econ paper)
b. Morduch, Dercon, Ligon, etc.
c. Existing studies focus on income, expenditures or “utils” … any on
other indicators? (health – Dillon? , education, wealth?)
3. Poverty traps and dynamic asset poverty line
a. Concepts and theories (e.g., Carter and Barrett): threshold-based
multiple equilibria, low-level unique equilibria (e.g., geographic
poverty traps)
b. Issues: social exclusion, credit constraints, high fixed costs of
market/technology access
c. Generalizations of FGT and vulnerability measures based on
DAPT
d. Are there really poverty traps? [Various methods of testing]
i) Parametric and nonparametric recursion estimation on
flows or stocks;
ii) Decomposition of income changes
iii) Indirect method of searching for asset smoothing
adoption/participation studies (untapped big gains)
iv) Evidence from Ethiopia (Carter, Mogues, Little; Dercon
and Krishnan; Lybbert et al., Hoffmann); Ghana (Udry,
Stephens); Kenya (Barrett et al.; Kristjanson and Krishna);
Madagascar (Barrett et al., Moser and Barrett); South
Africa (Carter et al.); Tanzania (Dercon); Uganda (Krishna
et al.); Zimbabwe (Hoddinott) …but continuing
uncertainty
C. Determinants of Dynamics of Poverty and Well-Being: generally underexplored
still
1. Empirical results: what are the correlates of persistent poverty?
a. Low initial asset stocks (livestock, education, hh labor, etc. ) – JDS
Feb 2006
b. Weak market access, esp. for finance
c. Social exclusion (Ethiopia, South Africa, Ghana, etc.)
d. Ability (Ethiopia)
e. Repeated serious shocks – esp. health?
2. Empirical results: differentiated impacts of shocks
a. Health shocks and transitions (Kenya, Uganda)
b. Natural disasters – drought/flood (Burkina Faso, Ethiopia, Kenya,
Zimbabwe)
3. Dynamic relations between dimensions of well-being
a. In most models, these various welfare measures are jointly
determined, often with lags
b. Try to paste together a dynamic model that allows us to trace
through the impact of a shock to yi,t on the other y’s at time>t
c. A prior is that education will be the most persistent. Estimate using
parent-to-child transition probabilities
d. Maybe this goes in section III
IV. The Meso Level in Understanding Poverty and Well Being
A. What is the Meso-Level? Institutions that aggregate and reconcile heterogeneous
signals from micro-level agents (consumers, producers, employers, suppliers),
that facilitate or impede coordination among agents, or that intermediate resource
flows to/from central government.
1. Markets and marketing institutions: spot and forward markets, contractual
arrangements (network effects often important)
2. Nonmarket institutions: local governments, formal community groups and
NGOs, informal social networks: examples: schools, producer coops,
health services
B. The Missing Middle: why worry about the meso-level?
1. Emphasis on decentralization of provision of essential public goods and
services and of management of common property resources. Does this
resolve, exacerbate or merely displace problems of governance?
Subsidiarity and classic public finance questions.
2. Critical assumption that policy signals (e.g., real/relative price changes,
public services policies) transmit from nation states and beyond (macro
level) to micro decision-takers not always true. Similarly, fallacy of
composition problem plagues micro level phenomena (e.g., technology
adoption) when markets don’t effectively transmit excess demand/supply
and nonmarket institutions don’t resolve contested claims effectively (e.g.,
land and conflict). Analogous issues for nonmarket institutions and
transmission of standards (e.g., for health, education) and impeding
transmission of disease, violence.
3. Possibility of spillovers: both positive (e.g., controlling crime reduces
marketing margins and improves terms of trade for rural poor) and
negative (e.g., producer-level disincentives in dysfunctional coops, social
norms concerning funeral sacrifices). Crowding-in vs. crowding-out
investment/interventions. Reinforcing feedback and fractal poverty traps:
failures at one scale of analysis reinforce failures at other scales. (Barrett
and Swallow 2006 WD)
4. Coordination problems are commonplace and often lead to multiple
equilibria
C. Nonpecuniary Constraints and Incentives
1. Nonmaterial preferences – social solidarity and implicit taxation, power
relations, religious prohibitions, gender roles (Platteau book, Barrett
book)
2. Evolving social norms and imperfect behavioral constraints (electronic
dog collar analogy) – circumcision rites, remarriage of widows, funeral
sacrifices, etc. (Carter and Castillo working paper, Platteau, Barrett)
D. Transmission
1. Prices and markets (intermediation costs, spatial and intertemporal
arbitrage problems, grades and standards assurances) (Moser, Barrett and
Minten 2006 working paper; Negassa and Myers AJAE forthcoming,
Fafchamps and Gavian JAfrEcon 1998)
2. Grades and standards: barriers to entry, value-added (Neven et al. WD
forthcoming, Barrett WD 1997)
3. Health policy and disease epidemiology
4. Reputation (credit, marketing) (Fafchamps book, Platteau book)
E. Resolving Market Failures: realizing economies of scale, resolving asymmetric
information problems
1. Contract enforcement/monitoring (Fafchamps book, Platteau JDS 1994)
2. Microfinance: credit and insurance, credit rating agencies
3. Marketing coops
4. Auctions vs. dyadic markets
5. Coordination problems in technology adoption (striga control, SRI,
etc.Barrett 2005 chapter)
F. Provision of Essential Public Goods and Services – sometimes by private firms,
community groups or informal social networks, not always by government
1. Crucial asset protection functions: safety/security – police protection and
crime (Madagascar – Fafchamps and Moser JAfrEcon 2004, Fafchamps and
Minten EDCC 2001, Kenya), resource tenure security, disaster response,
curative/preventive health care
2. Asset building: education, roads, electricity, communications.
3. Information flow – new technologies, market opportunities, establishing
common (Bandiera and Rasul EJ 2006, Conley and Udry Yale working paper,
Moser and Barrett Ag Econ 2006)
4. Knowledge (e.g., farmer field schools)
5. Management of common property (soil and water conservation, forests,
rangelands, etc.): rules and rules enforcement (Baland and Platteau 1998
AJAE, Nugent and Sanchez AJAE 1998)
V. Policy and Poverty: Principles of a Bottom up Approach
A. Consider dynamics, multiple dimensions of poverty, behavior responses,
multiplier effects, etc.
B. Received wisdom and controversies (taking as point of departure that
governments got prices right and no acute macro distortions)
1. Issues such as:
a. Getting markets to effectively transmit prices to
producers/consumers
b. Lowering transaction costs through investments in infrastructure
c. Micro-credit
d. Universal primary education/gender discrimination
i) High returns
ii) Role facilities/pedagogy
e. Preventative health measures– focus on infectious disease
(vaccination, de-worming, malaria nets, HIV behavior change, etc.
f. Combating < 2 years of age child malnutrition – UNICEF
framework/Bank report
g. Decentralization
h. Empowering the poor
i) Evidence based on review seminal reports:
i. WDRs from 1990 onward
j. HDRs
k. State of World’s Children report (UNICEF)
l. World Food Survey reports (FAO)
m. MDGs/Sach’s book
i) How academic literature, and especially our research
informs/supports/contradicts these pronouncements
C. Micro-macro Linkages and bottom-up apporaches
1. Accounting mechanisms – pro poor growth literature
2. Cross-country regressions, eg., work of Easterly and others
3. Externalities, e.g.
a. Public health/epidemiology literature
b. Education
4. Non-linearities, e.g., credit constraints
Previous
Section | Next
Section
Return to 2006 SAGA Annual Report and Workplan for 2007
|
HOME | RESEARCH |
PUBLICATIONS |
TECHNICAL ASSISTANCE |
CONFERENCES |
GRANTS |
PARTNERS |
PROJECT PERSONNEL |
PROGRESS REPORTS |
LINKS |
CONTACT US | SEARCH
© 2017, 2016–2007 SAGA copy; 2015, 2014-2007 SAGA
|
|