Fuzzy Set Approaches to the Measurement of Multidimensional Poverty

doi:10.1002/9781119257424.ch4

Cited by 1 publication

(2 citation statements)

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“…Will this 1€ make the group really distinct? From the philosophical point of view, it is impossible to find an exact, non-arbitrary, cut-off that could meaningfully separate such groups and make them distinct (Chakravarty, 2018;Qizilbash, 2006). Categorizing people to those above and below poverty level is a product of artificial dichotomization based on one or many quantitative variables.…”

Section: Discussionmentioning

confidence: 99%

“…Categorizing people to those above and below poverty level is a product of artificial dichotomization based on one or many quantitative variables. Therefore, dichotomizations based on poverty lines of the median are very inaccurate simplifications (Chakravarty, 2018). Considering poverty's fuzzy conceptualization, an individual has a certain propensity to poverty in the whole spectrum of income (Ciani, Gagliardi, Riccarelli, & Betti, 2018) and, therefore, poverty should be conceptualized as a continuous variable representing "the degree of membership to the poverty set" (Neff, 2013, p. 322).…”

Section: Discussionmentioning

confidence: 99%

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Poverty in behavioral research: Different operationalizations, different results

Adamkovič¹,

Martončik²,

Lačný³

et al. 2020

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Poverty is a complex phenomenon involving objective as well as subjective aspects. In reality, 9 out of 10 flagship studies from social sciences assess only objective indicators reducing poverty's multidimensional nature into solely economic characteristics. Comparing the effects of several distinct poverty operationalizations on the same outcome variable, we found substantial heterogeneity in the estimates. Neglecting the fact that different poverty operationalizations produce different results can generate misleading narratives when interpreting the findings. A researcher should be well-aware which poverty operationalization is the most suitable for their research purposes prior to the data collection. In case this is hard to determine, we aim to encourage researchers to perform sensitivity analyses based on different poverty operationalizations in order to inspect how these choices shape their outcomes.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%