1 Risk and Asset Management in the Presence of Poverty Traps: Implications for Growth and Social Protection Christopher B. BarrettMichael R. Carter Cornell.

Slides:



Advertisements
Similar presentations
Plenary session VIII: Steps and suggestions to write the country study Marco V Sanchez (UN-DESA) Third training workshop on Assessing Development Strategies.
Advertisements

DEMOGRAPHIC CHANGE, THE IMPACT MODEL, AND FOOD SECURITY IN SUB-SAHARAN AFRICA Kevin J.A. Thomas and Tukufu Zuberi.
The Well-being of Nations Chapter 1 Emerging Social and Economic Concerns.
FINANCIAL INTEGRATION AND ECONOMIC GROWTH OUTCOMES AND POLICIES FOR DEVELOPING COUNTRIES Select references: Prasad, Rogoff, Wei, Kose (2003); Kaminsky,
Development Economics ECON 4915 Lecture 6 Andreas Kotsadam.
Chapter 22: TAXATION AND SAVINGS – THEORY AND EVIDENCE
New growth perspectives on spillovers and poverty January 1999 by William Easterly.
BUSINESS AND FINANCIAL LITERACY FOR YOUNG ENTREPRENEURS: EVIDENCE FROM BOSNIA-HERZEGOVINA Miriam Bruhn and Bilal Zia (World Bank, DECFP)
Contemporary Models of Development and Underdevelopment
Social Network Capital, Economic Mobility and Poverty Traps Sommarat Chantarat and Chris Barrett Cornell University Seminar at Watson Institute, Brown.
Should Decision-Makers Embrace “Non- Constant” Discounting? Mike Paulden Samprita Chakraborty Valentina Galvani Christopher McCabe.
Informal Insurance in the Presence of Poverty Traps: Evidence from Southern Ethiopia Paulo Santos and Christopher B. Barrett Cornell University September.
Heterogeneous Wealth Dynamics: On the roles of risk and ability Paulo Santos and Christopher B. Barrett.
Local & Regional Economics Regional and Local Economics (RELOCE) Lecture slides – Lecture 3a 1 Regional growth the Neoclassical perspective.
Poverty Traps, Safety Nets and Sustainability Chris Barrett Robin Hill Seminar Cornell University April 28, 2005.
Welfare Dynamics in Rural Kenya and Madagascar Christopher B. Barrett, Paswel Marenya, John McPeak, Bart Minten, Festus Murithi, Willis Oluoch- Kosura,
Heterogeneous Wealth Dynamics: On the roles of risk and ability Paulo Santos and Christopher B. Barrett Cornell University Michigan State University guest.
Economics of Poverty Traps and Persistent Poverty: An Asset-based Approach Michael R. Carter University of Wisconsin Christopher B. Barrett Cornell University.
Lecture 11: Consumption, Saving and Investment II L11200 Introduction to Macroeconomics 2009/10 Reading: Barro Ch.7 16 February 2010.
Contemporary Investments: Chapter 20 Chapter 20 BUILDING AND MANAGING AN INVESTMENTPORTFOLIO What is the process of building and managing an investment.
Distributive Politics and Economic Growth Alberto Alesina and Dani Rodrik Economic Growth Spring Semester, 2009 Benedikte Fogh Larsen.
Inclusive Agricultural and Rural Development in Sub-Saharan Africa Chris Barrett Cornell University November 16, 2004 USAID BASIS CRSP Policy Conference.
DISTRIBUTION OF INCOME, CONSUMPTION, SAVING AEG MEETING WASHINGTON DC, 8-10 SEPTEMBER 2014 Presented by Jennifer Ribarsky (OECD)
Chapter 8: Usefulness of Accounting Information to Investors and Creditors Firm valuation models Efficient-markets hypothesis CAPM Cross-sectional valuation.
Population Growth and Economic Development
An Asset-Based Approach to Poverty Dynamics and Safety Nets: Research and Policy Questions Christopher B. Barrett Cornell University Michael R. Carter.
Christopher B. Barrett and Michael R. Carter Seminar at University of California at Riverside May 24, 2012 T HE E CONOMICS OF P OVERTY T RAPS AND P ERSISTENT.
Why IBLI? On Poverty Traps, Catastrophic Risk and Index Insurance Christopher B. Barrett Index Based Livestock Insurance Mini Workshop International Livestock.
International Issues.
Chapter 5.  Are “initial conditions” important in determining final outcomes for countries?  Does it matter where a country starts its development process.
Macro Chapter 10 Dynamic Change, Economic Fluctuations, and the AD-AS Model.
Producer Demand and Welfare Benefits of Price and Weather Insurance in Rural Tanzania Alexander Sarris (FAO), Panayiotis Karfakis (Univ. of Athens and.
Research Activities Under the Project “Rural Markets, Natural Capital and Dynamic Poverty Traps in East Africa” Presentation to BASIS CRSP Technical Committee.
Lecture 13: Expanding the Model with Labour Supply L11200 Introduction to Macroeconomics 2009/10 Reading: Barro Ch.8 22 February 2010.
Christopher B. Barrett Cornell University May 22, 2013 remarks at panel discussion on Risk & Vulnerability Monash Centre for Development Economics Resilience.
Tax-benefits indicators from a work incentives perspective Comments upon Christopher Heady and Herwig Immervoll – “Rewarding Jobs: Government Policy and.
Welfare Dynamics in Rural Kenya and Madagascar: Preliminary Quantitative Findings Chris Barrett Cornell University March 15, 2004 BASIS CRSP Project Annual.
RURAL MARKETS, NATURAL CAPITAL AND DYNAMIC POVERTY TRAPS IN EAST AFRICA Principal Investigator C. BARRETT - CORNELL Co-Principal Investigators F. MURITHI.
Copyright © 2008 Pearson Addison-Wesley. All rights reserved. Chapter 6 Economic Growth: Solow Model.
Preliminary Presentation Poverty Week December 2010.
Rural Poverty Dynamics: Development Policy Implications Christopher B. Barrett And Festus Murithi August 2003 USAID BASIS CRSP TC Meeting Pumula Beach.
Macro Chapter 10 Dynamic Change, Economic Fluctuations, and the AD-AS Model.
© The McGraw-Hill Companies, 2005 CAPITAL ACCUMULATION AND GROWTH: THE BASIC SOLOW MODEL Chapter 3 – second lecture Introducing Advanced Macroeconomics:
Rural Poverty Dynamics: Development Policy Implications Christopher B. Barrett August th triennial IAAE conference Durban, South Africa.
POVERTY DYNAMICS ALEX PROUDFOOT. POVERTY DYNAMICS? Many people believe poverty to be an almost perpetual state in which people live for all of their lives,
Copyright © 2008 Pearson Addison-Wesley. All rights reserved. Chapter 26 Long-Run Economic Growth.
The dynamics of poverty in Ethiopia : persistence, state dependence and transitory shocks By Abebe Shimeles, PHD.
Loan Loss Provisioning and Economic Slowdowns: Too much, Too Late? By Luc Laeven and Giovanni Majnoni Finance Forum 2002 June 19-21, 2002.
On Climate Variability And Resource- Dependent Wealth Dynamics: The Case of Ethiopian Pastoralists Paulo Santos University of Sydney Christopher B. Barrett.
PRSPs, Macroeconomic Constraints and Fiscal Policy Humberto Lopez (PRMPR)
TRADE LIBERALIZATION AND CHILDREN Understanding and coping with children vulnerabilities Javier Escobal Group for the Analysis of Development.
First meeting of the IDB Euro Latin Research Network Some Research Questions : Poverty and Labor Markets in Latin America Jaime Saavedra (GRADE)
Population Growth and Economic Development Causes, Consequences, and Controversies 2/16/20161 Pertemuan 6: Population and Economic Development.
Food, fuel and financial crisis: possible impacts and policy options Hassan Zaman Poverty Reduction Group Presentation at ECA Learning Event October 30.
Casualty Actuarial Society Insurance Accounting for Actuaries May 17, 2005  Presented by: Kevin Wick, FCAS, MAAA.
Dynamic Effects of Index Based Livestock Insurance on Household Intertemporal Behavior and Welfare Munenobu Ikegami, Christopher B. Barrett, and Sommarat.
1 AGRARIAN STRUCTURE: The Role of Land Policies Gershon Feder The World Bank.
1 Heterogeneous Wealth Dynamics: on the roles of risk and ability. Paulo Santos and Christopher Barrett Cornell University Conference on Pastoralism and.
Macro Chapter 10 Dynamic Change, Economic Fluctuations, and the AD-AS Model.
Module 7 Vulnerability to Poverty
Introduction Chapter #1.
Fiscal Policy and Regional Inequality in Thailand: 2000 vs
Human Capabilities and Poverty Dynamics in the Face of Agro-Ecological Shocks Christopher B. Barrett Cornell University USAID/NBER event on “Resilience.
Human Capabilities and Poverty Dynamics in the Face of Agro-Ecological Shocks Christopher B. Barrett Cornell University World Bank seminar “Resilience.
Poverty Traps, Safety Nets and Sustainability
Christopher B. Barrett Cornell University Michael R. Carter
Michael R. Carter University of Wisconsin Christopher B. Barrett
Christopher B. Barrett, Cornell University
Welfare Dynamics in Rural Kenya and Madagascar
Heterogeneous wealth dynamics: The role of risk and ability
Presentation transcript:

1 Risk and Asset Management in the Presence of Poverty Traps: Implications for Growth and Social Protection Christopher B. BarrettMichael R. Carter Cornell UniversityUniversity of Wisconsin

2 A Behavioral Approach to Poverty and Vulnerability Standard poverty lines –Element of arbitrariness & controversial –Problem even for forward looking ‘vulnerability measures’ Behavioral poverty line –Look for threshold around which behavior bifurcates (avoid arbitrariness) –‘Dynamic asset poverty threshold’ of poverty trap theory around which accumulation behavior bifurcates –Consistent with Calvo & Dercon vulnerability concept: “sense of insecurity, of potential harm people must feel wary of—something bad can happen and ‘spell ruin’ –Existence of such a threshold has important implications for the impacts of shocks, and for the design of social protection policies

3 Outline 1.Conceptual perspective on poverty traps and dynamic asset poverty threshold (or ‘Micawber threshold’) Club vs. Multiple Equilibria divergence Sources of multiple equilibria 2.Implications of Micawber threshold for household risk coping Asset smoothing Bifurcated accumulation dynamics 3.Empirical strategies for identifying Micawber threshold Threshold econometrics Direct elicitation of state dependent growth dynamics 4.Implications for policy and policy experiments Targeting Feasible experiments

4 Poverty Traps & the Micawber Threshold If shocks can spell ruin in a long term sense, –Suggests existence of multiple equilibria –Matches with empirical evidence from Lybbert et al. on Ethiopian pastoralists: those that fell below critical level with shock move to a lower long-run equilibrium than more fortunate neighbors Important to keep in mind that in general such divergence in experience can come from two sources: 1.Club Divergence when groups of individuals or countries that share similar intrinsic characteristics (e.g., time preferences, skills, geographic endowments) tend to converge to a living standard that is unique to their group or club. While there is convergence within clubs, there can be divergence between clubs 2.Multiple Equilibria Divergence can occur when there is no unique equilibrium for a individual or country. Instead, controlling for intrinsic characteristics, both a high and a low level equilibrium are available to the individual. Whether the individual or country reaches the high level equilibrium, or remains trapped at the low level equilibrium, depends on whether the country begins above or is able to boost itself over a critical minimum threshold level.

5 Poverty Traps & the Micawber Threshold Focus for the moment on multiple equilibria divergence Can occur at household level when 1.Access to capital is limited, and, 2.Locally increasing returns to wealth for reasons such as: The underlying income generating process directly exhibits increasing returns to scale Some high return production processes require a minimum project size; or Risk and financial market considerations cause lower wealth households to allocate their assets so as to make expected marginal returns to wealth lower for lower wealth households Key question then whether poor households decisions are driven by low marginal returns –Missing financial markets rule out discrete jumps –The dynamic asset poverty threshold becomes that critical level below which autarchic saving (diminished consumption despite low marginal returns) ceases to be feasible –Note that this becomes a behavioral poverty line –Distinguish this threshold from low level (poverty trap) equilibrium

6

7 Shocks & Poverty Traps: Asset Smoothing & Long term Ruin Dynamic asset poverty threshold has direct implications for persistence of poverty (Carter & Barrett (forthcoming) propose a family of chronic poverty measures on this basis) In face of risk, threshold has two behavioral implications: 1.Asset Smoothing/Consumption destabilization Anecdotal evidence Theory of Zimmerman & Carter Hoddinott’s study of Zimbabwe (& human capital costs) Barrett et al. on Kenyan pastoralists (aside on puzzle of Fafchamps et al., 1998) 2.Long-term ruin in wake of asset shocks Carter et al. (2005) on Hurricane Mitch Note that both of these implications suggest ways of testing for presence of the dynamic asset poverty threshold Examine two recent approaches based on implication 2

8 Identifying the Micawber Threshold using Asset Dynamics Empirical identification of threshold faces many challenges, including: –Repelling point/point of bifurcation –Intrinsic characteristics that may shape ‘club’ may be latent –Aggregation of assets –Non-linearities/multiple regimes Note that an random shock potentially provides source of identification as it weakens the correlation between starting position and latent characteristics Consider a basic threshold model:

9 Identifying the Micawber Threshold: Honduras after Hurricane Mitch

10 Identifying the Micawber Threshold: Honduras after Hurricane Mitch

11 Identifying the Micawber Threshold: Honduras after Hurricane Mitch

12 Identifying the Micawber Threshold using Imagined Shocks & Self-control for Intrinsic Characteristics Honduras threshold estimates do not control for latent characteristics that likely correlated with initial positions Novel elicitation strategy of Barrett and Santos: –Same pastoralists studied by Lybbert et al. –Imagined Shocks –Self-control for latent characteristics Key results: –Hint of bifurcation in bad years –Key interaction between existence of multiple equilibria and estimated technical efficiency

13

14

15

16 Implications for Policy & Policy Experiments In summary, shocks in the presence of poverty traps imply: –Long run micro (macro?) growth effects –Costly chronic poverty –Costly avoidance of persistent poverty (asset smoothing) Social protection policy built around this behavioral poverty line would appear to be: –Cost-effective –Imply unpleasant triage? Would also seem to imply that ex ante insurance/credible safety nets would have immediate behavioral implications Could this be the basis for experimentation? Also has implications for financial markets –Break logic of poverty trap –Localness of market versus type of shock –Experimental ideas (Peru)