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Health and Wealth of Elderly Couples : Causality Tests Using Dynamic Panel Data Models

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dc.creator Michaud, Pierre-Carl
dc.creator van Soest, Arthur
dc.date 2004
dc.date.accessioned 2013-10-16T07:11:14Z
dc.date.available 2013-10-16T07:11:14Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/20578
dc.identifier ppn:472606646
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/20578
dc.description A positive relationship between socio-economic status (SES) and health, the so-called "health-wealth gradient", is repeatedly found in most industrialized countries with similar levels of health care technology and economic welfare. This study analyzes causality from health to wealth (health causation) and from wealth to health (wealth or social causation) for elderly couples in the US. Using six biennial waves of couples aged 51-61 in 1992 from the Health and Retirement Study, we compare the recently developed strategy using Granger causality tests of Adams et al. (2003, Journal of Econometrics) with tests for causality in dynamic panel data models incorporating unobserved heterogeneity. While Adams et al. tests reject the hypothesis of no causality from wealth to husband's or wife's health, the tests in the dynamic panel data model do not provide evidence of wealth-health causality. On the other hand, both methodologies lead to strong evidence of causal effects from both spouses' health on household wealth.
dc.language eng
dc.publisher
dc.relation IZA Discussion paper series 1312
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject D31
dc.subject J14
dc.subject I12
dc.subject C33
dc.subject ddc:330
dc.subject health
dc.subject inequality
dc.subject aging
dc.subject dynamic panel data models
dc.subject causality
dc.subject Sozialer Indikator
dc.subject Gesundheit
dc.subject Einkommensverteilung
dc.subject Alte Menschen
dc.subject Kausalanalyse
dc.subject Panel
dc.subject Statistischer Test
dc.subject Schätzung
dc.subject Vereinigte Staaten
dc.title Health and Wealth of Elderly Couples : Causality Tests Using Dynamic Panel Data Models
dc.type doc-type:workingPaper


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