‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation
TLDR
It is found that corrected TTD estimates are significantly different from uncorrected ones, and their effect size exceeds that of an extra year of life, which in turn is moderated by individual comorbidities.Abstract:
We study the effect of ageing, defined as an extra year of life, on health care utilisation. We disentangle the direct effect of ageing, from other alternative explanations such as the presence of comorbidities and endogenous time to death (TTD) that are argued to absorb the effect of ageing (so-called 'red herring' hypothesis). We exploit individual level end of life data from several European countries that record the use of medicine, outpatient and inpatient care and long-term care. Consistently with the 'red herring hypothesis', we find that corrected TTD estimates are significantly different from uncorrected ones, and their effect size exceeds that of an extra year of life, which in turn is moderated by individual comorbidities. Corrected estimates suggest an overall attenuated effect of ageing, which does not influence outpatient care utilisation. These results suggest the presence of 'more than one red herring' depending on the type of health care examined.read more
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Multiple imputation for nonresponse in surveys
TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
Multiple Imputation For Nonresponse In Surveys
TL;DR: The multiple imputation for nonresponse in surveys is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can download it instantly.
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Multiple Imputation for Nonresponse in Surveys.
C. D. Kershaw,Donald B. Rubin +1 more
TL;DR: This work focuses on the development of Imputation Models for Social Security Benefit Reconciliation in the context of a Finite Population and examines the role of Bayesian and Randomization--Based Inferences in these models.