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Measuring Vulnerability to Poverty Using Long-Term Panel Data

Katja Landau, Stephan Klasen () and Walter Zucchini

Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century from Verein für Socialpolitik / German Economic Association

Abstract: We investigate the accuracy of ex ante assessments of vulnerability to poverty using cross-sectional data and panel data. We use long-term panel data from Germany and apply different regression models, based on household covariates and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed using the Receiver Operating Characteristics (ROC), which takes account of false positive as well as true positive rates. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and high mobility.

JEL-codes: C23 C52 I32 (search for similar items in EconPapers)
Date: 2012
New Economics Papers: this item is included in nep-eur and nep-ltv
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https://www.econstor.eu/bitstream/10419/66057/1/VfS_2012_pid_293.pdf (application/pdf)

Related works:
Working Paper: Measuring Vulnerability to Poverty Using Long-Term Panel Data (2012) Downloads
Working Paper: Measuring Vulnerability to Poverty Using Long-Term Panel Data (2012) Downloads
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