2011
DOI: 10.21642/gtap.tp31
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GTAP-POV: A Framework for Assessing the National Poverty Impacts of Global Economic and Environmental Policies

Abstract: The goal of this technical paper is to provide sufficient detail to permit readers to bring into the GTAP poverty framework additional countries for which suitable household data are available. With the inputs from processed household data – as per the guidelines provided here – the poverty framework can be readily used to assess the likely poverty impacts of global economic policies across a wide range of developing countries, in a fashion which enables systematic cross-country comparisons.

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Cited by 7 publications
(5 citation statements)
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“…In a sensitivity analysis, we also consider economic impacts when an alternative labor response function based on empirical measurements of labor productivities under heat is employed. (C) These labor capacity losses are then used as inputs into a global GE economic model, dubbed GTAP‐POV (Hertel et al., 2011). (D) The central innovation in this paper, in addition to the more accurate WBGT formulation, is the assessment of impacts on impoverished households, as well as the overall poverty headcount.…”
Section: Methodsmentioning
confidence: 99%
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“…In a sensitivity analysis, we also consider economic impacts when an alternative labor response function based on empirical measurements of labor productivities under heat is employed. (C) These labor capacity losses are then used as inputs into a global GE economic model, dubbed GTAP‐POV (Hertel et al., 2011). (D) The central innovation in this paper, in addition to the more accurate WBGT formulation, is the assessment of impacts on impoverished households, as well as the overall poverty headcount.…”
Section: Methodsmentioning
confidence: 99%
“…For the estimation of poverty impacts, we use elements of GTAP‐POV (Hertel et al., 2011), an extended version of the standard GTAP model (Corong et al., 2017; Hertel, 1997). The ‐POV extension to GTAP estimates changes in the real incomes of households near the poverty line, and the resulting poverty changes using an elasticity approach.…”
Section: Methodsmentioning
confidence: 99%
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