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on Health Economics |
| By: | Jean Pinquet (LEEP - Laboratoire d'econometrie de l'école polytechnique - CNRS : UMR7657 - Polytechnique - X); Guillén Montserrat (LEEP - Laboratoire d'econometrie de l'école polytechnique - CNRS : UMR7657 - Polytechnique - X) |
| Abstract: | This paper analyzes the rationale of long-term care insurance purchasing, from a statistical analysis of insurance data and a life cycle model. We make a short survey of the pros and cons of LTC insurance purchase. Then risk distributions in the occurrence and duration dimension are estimated on a Spanish portfolio. Calendar effects are estimated besides age and gender. These statistical results are integrated in a life cycle model of savings and insurance purchasing. A numerical illustration is also provided, which leads to an optimal age of forty years for insurance purchase. |
| Keywords: | Long-term care insurance; Lee-Carter models; life cycle approach; calendar, gender and age effects |
| Date: | 2008 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-00343104_v1&r=hea |
| By: | Marc Luy (Max Planck Institute for Demographic Research, Rostock, Germany); Graziella Caselli |
| Abstract: | - |
| Keywords: | Germany, Italy, ageing, migration trends, mortality, mortality determinants, regional demography, selective migration |
| JEL: | J1 Z0 |
| Date: | 2008–11 |
| URL: | http://d.repec.org/n?u=RePEc:dem:wpaper:wp-2008-027&r=hea |
| By: | John Hartwick (Queen's University) |
| Abstract: | We back out an estimate of a personal discount rate of between 3 and 4 percent for a person with a life expectancy of 74 years who dies at age 30 (or 40) and has a value of statistical life of $6.3 million. Central to these calculations is the series generated by Murphy and Topel of value of life years (the dollar value of consumption plus the dollar value of leisure, with some smoothing for income in retirement). We employ the Makeham "model" of life expectancy in our calculations. |
| Keywords: | Discount rate, Value of life |
| JEL: | J12 J12 |
| Date: | 2008–11 |
| URL: | http://d.repec.org/n?u=RePEc:qed:wpaper:1191&r=hea |
| By: | Schumacher, Petra |
| Abstract: | New approaches in health care, such as e.g. Integrated Delivery Systems, affect the role and tasks of medical suppliers. More and more, medical suppliers are incorporated into the process of guiding patients to medical specialists and hospitals and thus managing the course of disease. In this context, the role of medical gate-keepers and case managers may provide opportunities for undesirable behavior (from the network's point of view). Therefore, compensation-induced incentives for gatekeepers and case managers are in the main focus of the paper. Different health care payment systems and the impact of financial and non-financial incentives on case managers and gate-keepers in medical networks are analyzed. Another focus is laid on medical suppliers that are not involved in managing diseases and guiding patients. Due to their smaller margin of actions and possibilities to take advantage of it, reimbursement should emphasize different aspects than for case managers. |
| Keywords: | networks; compensation; gate-keeping; case management |
| JEL: | I11 J33 L22 |
| Date: | 2008–12–01 |
| URL: | http://d.repec.org/n?u=RePEc:lmu:msmdpa:7955&r=hea |
| By: | Padli, Jaharudin; Habibullah, M.S. |
| Abstract: | The purpose of the present study is to investigate the relationship between disaster fatalities with the level of economic development, years of schooling, land area and population for a panel of fifteen Asian countries over the sample period over 1970 to 2005. Our results indicates that the relationship between disaster losses and the level of economic development is nonlinear in nature suggesting that at lower income level, a country is more disaster resilience but at higher income level, an economy become less disaster resistant. Other disaster determinants of interest is the level of education which suggests that educational attainment reduces human fatalities as a result of disaster; larger population will increase death toll and larger land area will reduce disaster fatalities. 1. INTRODUCTION |
| Keywords: | natural disaster; Asian; Panel data analysis |
| JEL: | Q00 E00 |
| Date: | 2008–10–15 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:11921&r=hea |
| By: | Zamo-Akono, C. Zamo-Akono |
| Abstract: | Many studies report empirical relationship either between fertility and labour supply or, between health and labour market outcomes. In this paper, an extension of these ideas involves explicitly considering how fertility and health affect each other, and how they interrelate with labour force participation. A unifying framework is provided and a simultaneous three equations model developed to capture the interdependence between these variables as well as their respective determinants. The model is estimated using a cross-section data set obtained from a survey of the urban Cameroon population. The results indicate that: (i) fertility and health status are significantly interrelated, thus separate estimations of fertility (or health status) and participation will produce misleading results; (ii) working in either sector of the labour market significantly reduces fertility but, unlike many previous studies, fertility has a positive impact on the probability of labour force participation; (iii) there is strong evidence that health and disability status is a significant determinant of employment, but the reverse depend on the labour market sector and on the health indicator used. |
| Keywords: | Fertility; self-reported health; disability; labour supply; limited dependent variable |
| JEL: | J2 I1 |
| Date: | 2008–06 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:10839&r=hea |
| By: | Abay Asfaw; Stephan Klasen (Georg-August Universität Göttingen / Germany); Francesca Lamanna (World Bank) |
| Abstract: | The “missing women” dilemma in India has sparked interest in investigating gender discrimination in the provision of health care in the country. No studies, however, have directly examined this discrimination in relation to household behavior in health care financing. We hypothesize that households who face tight budget constraints are more likely to spend their meager resources on hospitalization of boys rather than girls. We use the 60th Indian National Sample Survey and a multinomial logit model to test this hypothesis and to shed some light on this important but overlooked issue. The results reveal that while the gap in the probability of boys’ and girls’ hospitalization and usage of household income and savings is relatively small, the gender gap in the probability of hospitalization and usage of scarce resources is very high. Ceteris paribus, the probability of boys to be hospitalized by financing from relatively scarce sources such as borrowing, sale of assets, help from friends, etc., is much higher than that of girls. Moreover, the results indicate that the gender gap deepens as we move from the richest to poorest households. |
| Keywords: | gender discrimination, health care finance, hospitalization, India |
| JEL: | I12 O15 J71 |
| Date: | 2008–10–17 |
| URL: | http://d.repec.org/n?u=RePEc:got:iaidps:177&r=hea |