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Issues and Methods in Livelihoods Analysis. Gerald Shively Purdue University [email protected] Prepared for the CIFOR/PEN Annual Meeting, January 11, 2008, Barcelona. Objectives Resources Labor Land Capital Technologies Constraints Tenure Credit. Livelihoods Concepts.

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Issues and methods in livelihoods analysis l.jpg

Issues and Methods in Livelihoods Analysis

Gerald ShivelyPurdue University

[email protected]

Prepared for the CIFOR/PEN Annual Meeting, January 11, 2008, Barcelona


Livelihoods concepts l.jpg

  • Objectives

  • Resources

    • Labor

    • Land

    • Capital

  • Technologies

  • Constraints

    • Tenure

    • Credit

Livelihoods Concepts


Primary research concern l.jpg

Describing behavior is good

Explaining behavior is better

Understanding why behaviors differ across households is best

We want to understand not only WHAT…

but WHY

Primary research concern


Objectives l.jpg

  • What does the household desire?

    • Profit maximization

    • Food security

    • Risk avoidance

    • Wealth accumulation

    • Food sales

    • Food purchases

      The answer has implications for models, prescriptions and predictions

Objectives


What can households allocate l.jpg

  • Land

  • Labor

  • Working capital

    Why focus on allocation?

    This is a zero-sum prospect:

    allocating a resource to one activity precludes allocating it to another

    Most economic activities have substitutes

What can households allocate?


Households also choose technologies l.jpg

  • Traditional vs. modern

  • Embedded vs. disembodied

  • Does it work?

  • How well does it work?

  • Is it available?

  • Is it adaptable?

  • Is it divisible?

  • Is it biased?

  • Technical vs. economic considerations

Households also choose technologies


Heterogeneity is your friend l.jpg

Differences are good

Variance in the data is good

This variance is what allows one to understand why different situations, motivations, and constraints lead to different outcomes.

Heterogeneity is your friend


Diagnostic heuristic approach ashley 2000 raintree nafri 2005 l.jpg

Good place to begin

Identify “Basic Needs” vs. “Supply Systems”

  • Direct linkages crops + livestock + cash  food

  • Indirect linkages crops + forests + labor  cash

    Analytical focus:

    objectives; means; performance; problems; solutions

Diagnostic/Heuristic Approach(Ashley 2000; Raintree/NAFRI 2005)


Asset vulnerability approach castro 2002 difd 1999 l.jpg

More formal approach

Identify inputs, processes, and outcomes

Capital and assets

Transforming structures and processes(including policies and institutions)

Asset/Vulnerability Approach(Castro 2002; DIFD 1999)

Outcomes


Econometric approach l.jpg

Typically has a guiding structure, but often specified as a reduced form: y=f(x)

  • Dependent (lhs) variables

    • outcomes (income, expenditures)

    • choices (labor allocation, land use, technology)

  • Independent (rhs) variables

    • exogenous variables

    • resources, parameters, constraints

Econometric approach


Example agricultural yield l.jpg

Lets assume that yield depends on reduced form: labor input and technology

Yield (kg/ha) = b0

+ b1*labor input (days/ha)

+ b2*technology indicator

Let indicator for the new technology be 0/1

In the regression b2 will measure the avg. impact of the new technology on yield.

Example: Agricultural Yield


Some difficulties l.jpg

Does reduced form: b2 really measure the impact of the new technology on agricultural yield?

Where does labor come from? Do some uses of labor displace other uses (e.g. competition between off-farm & forest)?

  • Correlation vs. causation

  • Omitted variables

  • Hidden causes

  • Endogenous regressors

Some difficulties


Potential solutions l.jpg

  • Instrumental variable techniques reduced form:

    • 2 stages, 2nd relies on results from 1st

  • Seemingly Unrelated Regressions (SUR)

  • Structural systems of equations

    • use obvious constraints to shape regressions

  • Natural experiments

Potential solutions


Examples l.jpg

  • 2SLS reduced form:

    • 1st stage: technology choice depends on ???

    • 2nd stage: yield depends on technology choice

  • Seemingly Unrelated Regressions (SUR)

    • Technology choice and labor allocation in parallel regressions

  • Structural systems of equations

    • Labor shares, each with it’s own regression

  • Natural experiment

    • Exogenous random assignment of new technology

Examples


Measurement of variables and choice of technique l.jpg

-∞ ≤ y ≤ +∞ linear regression reduced form:

0≤ y ≤ +∞ OLS or 1-tail Tobit

0≤ y ≤ 1 2-tail Tobit

0 or 1 Probit or logit

Measurement of variables and choice of technique


References l.jpg

Ashley, Caroline (2000) Applying Livelihood Strategy Approaches to Natural Resources Management Initiatives: Experiences in Namibia and Kenya. Working Paper 134. London: Overseas Development Institute.

Castro, A. Peter (2002) Sustainable Livelihoods Analysis: An Introduction. Paper presented at conference “Public Goods and Public Bads in Nature: From Landscapes to Genomes in South Asia.” Syracuse and Cornell Universities, February 23, 2002.

DIFD (1999) Sustainable Livelihoods Guidance Sheets. London: Department for International Development.

Raintree, John (2005) Livelihoods Analysis: A Checklist. In Improving Livelihoods in the Uplands of the Lao PDR. NAFRI, NAFES, NUOL.

References


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