Heterogeneous Health Groups and the Dynamics of the Elderly

Amengual, Dante; Bueren, Jesus; Crego, Julio A.

doi:10.2139/ssrn.3438104

Cited by 4 publications

(6 citation statements)

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“…5 For instance, Gilleskie et al (2017) use body mass to measure health status and study the impact of health status on wages in a lifecycle model. Amengual et al (2017) construct an objective discrete measure of health using information on Activities of Daily Living (ADL's) and Instrumental Activities of Daily Living (IADL's) in the HRS. They estimate a panel Markov switching model of old-age health dynamics.…”

Section: Introductionmentioning

confidence: 99%

The evolution of health over the life cycle

Hosseini

Kopecky

Zhao

2022

Review of Economic Dynamics

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We construct a unified objective measure of health status: the frailty index, defined as the cumulative sum of all adverse health indicators observed for an individual. First, we show that the frailty index has several advantages over self-reported health status, particularly when studying health dynamics. Then we estimate a stochastic process for frailty dynamics over the life cycle. We find that the autocovariance structure of frailty in panel data strongly supports a process that allows the conditional variance of frailty shocks to increase with age. Our frailty measure and dynamic process can be used by researchers to study the evolution of health over the life cycle and its economic implications.

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Section: Introductionmentioning

confidence: 99%

The evolution of health over the life cycle

Hosseini

Kopecky

Zhao

2022

Review of Economic Dynamics

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“…One way to interpret these findings is that education protects healthy people from the onset of mild symptoms of bad health, but it does not protect individuals from the evolution of these mild symptoms into more complicated conditions. Further research might focus on a more granular definition of health-taking into account differences in health transitions and survival across different levels of dependency, see for instance Amengual et al (2020)-and a multivariate definition of HLE.…”

Section: The Interpretation Of Education Gradientsmentioning

confidence: 99%

Inequality in life expectancies across Europe and the US

et al. 2021

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We use harmonized household panel data from Europe and the US and a three-state survival model to provide comparable measurements of education and gender inequalities in total, healthy, and unhealthy life expectancies at age 50. Common across countries, the education advantage in total life expectancy is larger for males but the education advantage in (fewer) unhealthy years is larger for females. Counterfactual decompositions show that these results arise because the education advantage in conditional survival rates is relatively more important for males, while the education advantage in better health transitions is relatively more important for females. Across countries, the US stands out with the largest education gradient in healthy life expectancy.

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“…Their model has been used both by researchers (see, for instance, Lockwood (2018)) and the insurance industry to measure long-term care risk. Amengual et al (2017) use information on ADLs and IADLs to construct an objective discrete measure of health and estimate a panel Markov switching model of oldage health dynamics. 5 By using objective indicators of health conditions, these studies avoid the disadvantages of subjective health measures.…”

Section: Introductionmentioning

confidence: 99%

“… See Currie and Madrian (1999), Jones (2017), andO'Donnell et al (2015) for general surveys of this literature.4 Two pioneering examples areStern (1989) andBound (1991).5 It is worth noting thatAmengual et al (2017) argue that their discrete measure has an advantage over a continuous measure as the latter cannot be included in structural models. We would argue that it is in fact a disadvantage as it is less flexible than a continuous measure like ours.…”

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confidence: 99%

Untitled

2021

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We construct a unified objective measure of health status: the frailty index, defined as the cumulative sum of all adverse health indicators observed for an individual. Using the frailty index, we document four stylized facts on health dynamics over the life cycle. We show that the facts are robust to several alternative approaches to the construction of the index. We also compare the frailty index with selfreported health status and find significant differences in their dynamics and ability to predict health-related outcomes. Finally, we propose and estimate a stochastic process for frailty dynamics over the life cycle accounting for mortality bias. Researchers can use our frailty measure and dynamic process to study the evolution of health over the life cycle and its economic implications.

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Heterogeneous Health Groups and the Dynamics of the Elderly

Cited by 4 publications

References 0 publications

The evolution of health over the life cycle

The evolution of health over the life cycle

Inequality in life expectancies across Europe and the US

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