The Shadow Prices of Voluntary Caregiving: Using Well-Being Panel Data to Estimate the Cost of Informal Care

Abstract This article uses the well-being valuation (WV) approach to estimate and monetize the well-being impacts of informal care provision on caregivers. Using nationally representative longitudinal data from the UK, the British Household Panel Survey, we address two challenging methodological issues related to the economic valuation of informal care: (i) the anticipatory nature of informal care; and (ii) the sensitivity of income estimates used in valuation. We address the anticipatory issue by focusing on well-being impacts associated with caring for a relative who had recently suffered a serious accident. We use the fixed effects filtered (FEF) estimator to estimate a “time-invariant income” coefficient free from individual fixed effects bias, which helps to partially improve the quality of the income estimate as an alternative to using instrumental variables. This estimate is used in the calculation of shadow prices of informal care. Our estimates suggest that, focusing on the first year of unanticipated care provision, those experiencing the well-being losses from providing unanticipated informal care would be willing to pay approximately £13,167 on average to avoid it.

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Publication Details

Journal
Journal of Benefit-Cost Analysis
Published
2024-09-30
DOI
https://doi.org/10.1017/bca.2023.17
Citations
1
Primary Topic
Intergenerational Family Dynamics and Caregiving
Type
article
Field-Weighted Citation Impact
0.00

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article

The Shadow Prices of Voluntary Caregiving: Using Well-Being Panel Data to Estimate the Cost of Informal Care

Nattavudh Powdthavee, Rebecca McDonald
1 citations
Journal of Benefit-Cost Analysis
Intergenerational Family Dynamics and Caregiving
article

The Shadow Prices of Voluntary Caregiving: Using Well-Being Panel Data to Estimate the Cost of Informal Care

Nattavudh Powdthavee, Rebecca McDonald
article en
1 citations

Abstract

Abstract This article uses the well-being valuation (WV) approach to estimate and monetize the well-being impacts of informal care provision on caregivers. Using nationally representative longitudinal data from the UK, the British Household Panel Survey, we address two challenging methodological issues related to the economic valuation of informal care: (i) the anticipatory nature of informal care; and (ii) the sensitivity of income estimates used in valuation. We address the anticipatory issue by focusing on well-being impacts associated with caring for a relative who had recently suffered a serious accident. We use the fixed effects filtered (FEF) estimator to estimate a “time-invariant income” coefficient free from individual fixed effects bias, which helps to partially improve the quality of the income estimate as an alternative to using instrumental variables. This estimate is used in the calculation of shadow prices of informal care. Our estimates suggest that, focusing on the first year of unanticipated care provision, those experiencing the well-being losses from providing unanticipated informal care would be willing to pay approximately £13,167 on average to avoid it.

Journal of Benefit-Cost AnalysisVol. 16(1)
Nanyang Technological University (SG), University of Birmingham (GB)
Leverhulme Trust
Openalex Percentile: Top 73%
Intergenerational Family Dynamics and Caregiving
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