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Identifying Asset Poverty Thresholds – New methods with an application to Pakistan and Ethiopia AgEcon
Naschold, Felix.
Understanding how households escape poverty depends on understanding how they accumulate assets over time. Therefore, identifying the degree of linearity in household asset dynamics, and specifically any potential asset poverty thresholds, is of fundamental interest to the design of poverty reduction policies. If household asset holdings converged unconditionally to a single long run equilibrium, then all poor could be expected to escape poverty over time. In contrast, if there are critical asset thresholds that trap households below the poverty line, then households would need specific assistance to escape poverty. Similarly, the presence of asset poverty thresholds would mean that short term asset shocks could lead to long term destitution, thus...
Tipo: Conference Paper or Presentation Palavras-chave: Poverty dynamics; Semiparametric Estimation; Penalized Splines; Pakistan; Ethiopia; Consumer/Household Economics; I32; C14; O12.
Ano: 2005 URL: http://purl.umn.edu/19115
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“Poor stays poor” - Household asset poverty traps in rural semi-arid India AgEcon
Naschold, Felix.
Although identifying the existence and the nature of household-level poverty traps would have important implications for the design of poverty reduction policies empirical evidence is still scant. A small, but growing empirical literature has begun testing for poverty traps as thresholds in non-linear welfare dynamics. Employing a variety of quantitative methods it has produced a variety of conclusions. This paper uses a uniquely long household panel from three villages in rural India to examine whether the detection of poverty traps may be contingent on the quantitative method used to model household welfare dynamics. It then employs a novel semiparametric panel data estimator that combines the advantages of the existing methods. Since in the context of...
Tipo: Working or Discussion Paper Palavras-chave: Household Welfare Dynamics; Semiparametric Estimation; Penalized Splines; India; Panel Data; Asset Poverty; International Development; I32; C14; O12.
Ano: 2009 URL: http://purl.umn.edu/49396
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