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Michael R. Carter University of Wisconsin Christopher B. Barrett

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Presentation on theme: "Michael R. Carter University of Wisconsin Christopher B. Barrett"— Presentation transcript:

1 Economics of Poverty Traps and Persistent Poverty: An Asset-based Approach
Michael R. Carter University of Wisconsin Christopher B. Barrett Cornell University January 2005 American Economic Association annual meetings Philadelphia

2 Why We Need An Asset-Based Approach to Poverty Analysis
The ‘Washington Consensus’ reforms constitute an implicit theory of structural poverty transitions: Getting Prices Right should raise returns on unskilled labor, poor households’ primary asset; Getting Institutions Right by securing property rights should enhance asset accumulation by poor households; Deregulation should enhance financial access of poor households, further boosting accumulation But, has it worked? Very hard to gauge using conventional, flow-based approaches to poverty analysis that look only at (potentially transitory) outcomes.

3 Evolving Views of Poverty
Successive generations of poverty analysis 1st: static income/expenditure analysis (headcount, poverty gap, FGT measures) 2nd: dynamic income/expenditure analysis (chronic/transitory poverty distinction) 3rd: static asset poverty analysis (structural/stochastic poverty distinction) 4th : dynamic asset poverty analysis

4 Asset-Based View of Poverty
Transitions Stochastic churning (B to u(A’’)) from Poverty: Structural via accumulation (A’ to A”) Structural via higher returns (u(A’) to C)

5 Poverty Traps and the Dynamic Asset Poverty Threshold
Will structurally poor move ahead over time? Lessons from empirical macroeconomics – “twin peaks”, “divergence big time” or “convergence”? Key question: do returns to productive assets (land, labor, etc.) increase in wealth? Such a relationship could exist due to: Increasing returns to scale in income generating process Minimum investment levels/indivisibilities Uninsured risk

6 Locally Increasing Returns and Multiple Livelihood Equilibria
Marginal return on assets A*2 A*1 Utility AS A Asset Poverty Line Income Poverty Line Assets L1 L2 U*H U*L No problem if perfect financial markets exist. But if not, what savings strategies are feasible below AS?

7 A 4th Generation View Poverty Trap
Figure 3: The Dynamic Asset Poverty Line Utility L2 U*H Income Poverty Line Dynamic Asset Poverty Line L1 U*L Static Asset Poverty Line Initial Assets A*1 A* AS A A*2 Poverty Trap Dynamic Asset Poverty Line (Micawber Threshold) At=A0 (dynamic equilibrium) Next Period’s Assets

8 Empirical Strategies to Identify Dynamic Asset Poverty Thresholds
Need to find threshold in asset space where dynamics bifurcate. Challenges: - highly nonlinear dynamics - sparse data around unstable eql’n - multidimensional asset space Efforts to date: - Lybbert et al EJ, Barrett et al. 2004, Adato et al all use nonparametric methods based on single asset or asset index. Need to improve on these methods

9 Dynamic Poverty Measures
Two natural extensions of FGT class: Predicted flow dynamics version: Asset gap version:

10 Implications for Persistent Poverty Reduction Strategies
An asset-based approach permits - identification of minimum asset bundles necessary for hhs to engineer own growth - natural integration of safety net strategies with poverty reduction strategies - prioritization of efforts to rectify mechanisms of financial and social exclusion

11 Thank you!


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