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How can social protection responses to COVID-19 be made disability inclusive?

BANKS, Lena Morgon
HUNT, Xanthe
June 2020

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Question & problem

The COVID-19 pandemic and strategies essential for its containment are resulting in severe strains on economies, particularly in low- and middle-income countries (LMICs). These impacts will be felt most by groups already in or at risk of poverty, including the estimated 1 billion people with disabilities globally. Interventions to address the short- and long-term economic effects of the pandemic are urgently needed. Some countries have begun implementing or announced plans for interventions addressing the economic impacts of COVID-19, such as food assistance, emergency cash transfers, unemployment assistance or expansions to existing social protection programmes. As these programmes are developed, it is important to consider the extent to which their design and delivery is inclusive of people with disabilities. Failure to adequately include people with disabilities in this process will lead to widening inequalities.

Nonparametric estimation of a compensating variation : the cost of disability

HANCOCK, Ruth
MORCIANO, Marcello
PUDNEY, Stephen
December 2013

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This paper proposes a nonparametric matching approach to estimation of implicit costs based on the compensating variation (CV) principle. The paper aims to introduce the matching approach, compare its properties with those of the conventional indirect parametric approach, and demonstrate its application in an important policy area. The authors apply the method to estimate the additional personal costs experienced by disabled older people in Great Britain, finding that those costs are substantial, averaging in the range £48-61 a week, compared with the mean level of state disability benefit (£28) or total public support (£47) received. Estimated costs rise strongly with the severity of disability. The authors compare the nonparametric approach with the standard parametric method, finding that the latter tends to generate large overestimates unless conditions are ideal, and recommend the nonparametric approach

ISER Working Paper Series, No. 2013-26

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