Rights statement: This is the peer reviewed version of the following article: Porter, C. and Yalonetzky, G. (2019), Fuzzy Chronic Poverty: A Proposed Response to Measurement Error for Intertemporal Poverty Measurement. Review of Income and Wealth, 65: 119-143. doi:10.1111/roiw.12321 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1111/roiw.12321 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Fuzzy Chronic Poverty
T2 - A Proposed Response to Measurement Error for Intertemporal Poverty Measurement
AU - Porter, C.
AU - Yalonetzky, G.
N1 - This is the peer reviewed version of the following article: Porter, C. and Yalonetzky, G. (2019), Fuzzy Chronic Poverty: A Proposed Response to Measurement Error for Intertemporal Poverty Measurement. Review of Income and Wealth, 65: 119-143. doi:10.1111/roiw.12321 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1111/roiw.12321 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2017/8/30
Y1 - 2017/8/30
N2 - A number of chronic poverty measures are now empirically applied to quantify the prevalence and intensity of chronic poverty, vis-à-vis transient experiences, using panel data. Welfare trajectories over time are assessed in order to identify the chronically poor and distinguish them from the non-poor, or the transiently poor, and assess the extent and intensity of intertemporal poverty. We examine the implications of measurement error in the welfare outcome for some popular discontinuous chronic poverty measures, and propose corrections to these measures that seeks to minimize the consequences of measurement error. The approach is based on a novel criterion for the identification of chronic poverty that draws on fuzzy set theory. We illustrate the empirical relevance of the approach with a panel dataset from rural Ethiopia and some simulations. © 2017 International Association for Research in Income and Wealth
AB - A number of chronic poverty measures are now empirically applied to quantify the prevalence and intensity of chronic poverty, vis-à-vis transient experiences, using panel data. Welfare trajectories over time are assessed in order to identify the chronically poor and distinguish them from the non-poor, or the transiently poor, and assess the extent and intensity of intertemporal poverty. We examine the implications of measurement error in the welfare outcome for some popular discontinuous chronic poverty measures, and propose corrections to these measures that seeks to minimize the consequences of measurement error. The approach is based on a novel criterion for the identification of chronic poverty that draws on fuzzy set theory. We illustrate the empirical relevance of the approach with a panel dataset from rural Ethiopia and some simulations. © 2017 International Association for Research in Income and Wealth
KW - fuzzy sets theory
KW - intertemporal poverty
KW - measurement error
KW - poverty measurement
U2 - 10.1111/roiw.12321
DO - 10.1111/roiw.12321
M3 - Journal article
VL - 65
SP - 119
EP - 143
JO - Review of Income and Wealth
JF - Review of Income and Wealth
SN - 0034-6586
IS - 1
ER -