Heterogeneous Wealth Dynamics: on the roles of risk and ability' - PowerPoint PPT Presentation

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Heterogeneous Wealth Dynamics: on the roles of risk and ability'

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Divide sample by ability categories. Re-run simulation. 9. The role ... Divide sample using regression trees. 11. Why care? Policy consequences Ex: restocking ... – PowerPoint PPT presentation

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Title: Heterogeneous Wealth Dynamics: on the roles of risk and ability'


1
Heterogeneous Wealth Dynamics on the roles of
risk and ability.
  • Paulo Santos and Christopher Barrett
  • Cornell University
  • Conference on
  • Pastoralism and Poverty Reduction in East Africa
  • Nairobi, 27-28 June 2006

2
  • Poverty traps are common in policy discussions
    but do they exist?
  • If they do why?
  • We build on recent evidence of nonlinear herd
    dynamics in Southern Ethiopia to answer these
    questions

3
Poverty traps in S. Ethiopia
4
Our conclusions
  • Poverty traps are understood by Boran
    pastoralists
  • Risk is the source of nonlinear herd dynamics
  • Ability plays a role unique, low-level
    equilibrium for herders of low ability
  • Consequences for policy (restocking)

5
Are poverty traps understood by Boran
pastoralists?
  • We asked about expectations of herd size one year
    ahead, given rainfall conditions.

6
Are poverty traps understood by Boran
pastoralists?
  • Under good conditions, everyone expects to
    accumulate structure of negative shocks
    determines nonlinearities in herd dynamics.
  • Insurance is important in this context
  • What are the long run (10 years ahead) dynamics?
  • Use Simulation

7
Are poverty traps understood by Boran
pastoralists?
8
The role of ability.
  • Is everyone expected to follow these dynamics? Or
    does ability play a role?
  • Problem ability is not directly observable
  • Our solution estimate efficiency in herd growth
    frontier
  • Divide sample by ability categories
  • Re-run simulation

9
The role of ability.
10
The role of ability.
  • Are these results confirmed by herd history data
    (data collected by Desta)? Yes!
  • Use same approach
  • Divide sample using regression trees

11
Why care?
  • Policy consequences Ex restocking
  • 3 Scenarios
  • (1) Give to the poor (below 5 cattle but not
    stockless)
  • (2) Give to those near the threshold
  • (3) Give to those near the threshold and of high
    ability

12
Why care?
  • Exploring the consequences of nonlinear dynamics

13
Why care?
  • The consequences are dramatically different
  • from negative net gains to gains that double
  • the initial transfer.

14
Why care?
  • Conclusion
  • 1) No policy can fit all possibly, restocking
    cannot address situations of extreme poverty.
  • 2) Insurance matters changing the dynamics
    (water points, supplemental feeding,) may help
    changing the underlying dynamics.

15
Acknowledgements
  • Research underlying this presentation was made
    possible through the generous support of
  • - PARIMA/GL-CRSP
  • - Social Science Research Council
  • - The Pew Charitable Trust
  • - Cornell University
  • - ILRI
  • -Action for Development, Yabello
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