Biomedical subjects

M Lindeboom

Publications and source records attributed to M Lindeboom.

5 recordsLinked to original sources

PubMed2001

Life expectancies in specific health states: results from a joint model of health status and mortality of older persons.

With the trend toward aging, increases in health care expenditures are expected. Insight into (future) needs for care services requires a taxonomy of older persons' health conditions: how health status develops as people age and how these health conditions determine residual life expectancy. In this paper we provide this information for the Netherlands. We apply a flexible nonparametric method--the Grade of Membership method--to a national database and summarize the multidimensional concept of health status into a limited set of interpretable indices. We then use these indices in our panel data model for health status and mortality. The model results are used to calculate age-health profiles and expected residual lifetimes in specific health states.

Aged↗

PubMed2000

The use of long-term care services by the Dutch elderly.

The main focus of this paper is the development of an appropriate framework to characterize the process of long-term care utilization by the Dutch elderly. Three broad categories of care services are considered, namely, informal care, formal care at home, and institutional care. The use of these care alternatives is modelled jointly, and stochastic dependence is allowed between the various care options. Special attention is given to the concept of health status and to the potential endogeneity of this variable in the model. We apply a flexible non-parametric method to summarize the multidimensional concept of health status into a limited set of interpretable indices. The model is applied on the Longitudinal Ageing Study Amsterdam (LASA). We find strong effects of health status, gender, socio-economic variables, and prices on the utilization of long-term care services.

Aged↗

PubMed1999

Health and mortality of the elderly: the grade of membership method, classification and determination.

With the aging of society, issues concerning the reform of the Dutch health care system are ranked high on the political agenda. Sensible reforms of the health care system for the elderly require a thorough understanding of the health status of the old and of its dynamics preceding death. The health status of the elderly is intrinsically a multidimensional and dynamic concept and a rich set of indicators is needed to capture this concept in its full extent. This feature of health requires techniques to reduce dimensionality as, in general, it is difficult to simultaneously handle all indicators in any economic analysis. In the first part of this paper we focus on methods that comprise these multidimensional measures into a limited number of indices. The Grade of Membership (GoM) approach introduced by Manton and Woodbury (Methods of Information in Medicine 1982; 21) is specifically designed to characterize the complex concept of health. The method simultaneously identifies all dimensions of the concept of interest and the degrees to which an individual belongs to each of these types (i.e. grades of membership). We apply the method to a set of 21 indicators from a rich database of the Longitudinal Aging Study Amsterdam (LASA). The individual degrees of involvement in the different health dimensions obtained from this method are used in subsequent analyses of health and mortality.

Aged↗

PubMedDate not supplied

Age related health dynamics and changes in labour market status.

We focus on aspects of health changes, the importance of cohort effects, age related health changes and the effect of labour market status and work history on health. We moreover assess the relative importance of gradual changes and sudden shocks in health changes and the role of work status on the likelihood of experiencing a health shock. A fixed effect panel data model is estimated on two waves of a survey of Dutch elderly. We find strong differences in health outcomes for different age cohorts and gender. We also find that health deteriorates with employment and labour market history.

Adult↗

PubMedDate not supplied

Subjective health measures and state dependent reporting errors.

The use of subjective health measures in empirical models of labour supply and retirement decisions has frequently been criticized. Responses to questions concerning health may be biased due to financial incentives and the willingness to conform to social rules. The eligibility conditions for some social security allowances, notably Disability Insurance benefits, are contingent upon bad health. Even if the decision to apply for a disability allowance is to some extent motivated by financial considerations or a relatively strong preference for leisure, respondents will be inclined to play down these motives and emphasize the importance of their health condition. As a consequence, reporting errors may depend on the labour market status of the respondent and self-reported health variables will be endogenous in labour supply and retirement models. The objective of this paper is to assess the importance of state dependent reporting errors in survey responses and to propose and estimate a model that can be used to account for this kind of systematic mis-reporting. The estimation results indicate that among respondents receiving Disability Allowance, reporting errors are large and systematic. Using such subjective health measures in retirement models may therefore seriously bias the parameter estimates and the conclusions drawn from these.

Adult↗