2004
DOI: 10.1002/psp.341
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Migration of elderly households in Canada, 1991–1996: determinants and differences

Abstract: elderly. The human capital model of migration is not applicable to the elderly. For couples both the characteristics of the primary household maintainer and the characteristics of the spouse or common-law partner are determinants of the couple's migration, underlining the importance of modelling migration as a household move. Single-person households often, but not always, show results similar to those for couples. When male and female single-person households are compared, migration determinants usually have … Show more

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Cited by 11 publications
(14 citation statements)
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“…A set of explanatory variables drawn from the literature operationalize each of the models, controlling for a variety of variables mediating migration (see, for examples, Liaw and Qi 2004;Marr and Millerd 2004;Meyer and Speare 1985;Speare et al 1991). Individual characteristics including total household income (less than $20,000, $20,000-$39,999, $40,000-$59,999 or $60,000 and greater); age (60 years old and older 5 years prior to Census); gender (female or male); marital status (married, single or divorced, widowed or separated); immigration status (Canadianborn or foreign-born); ethnicity (North American, British Isles, French, Other European, Asian, Aboriginal, and All Other Ethnicities); home language (English only, French only, Combination of English, French or Other, or Not English or French); tenure (own home, rent home, or band housing); labor force status (not in labor force, employed or unemployed); education (high school degree or less, some b All variables significant at p<0.01 with exceptions of * significant at p<0.05 and *** are insignificant university or equivalent, or university bachelor's degree or higher); and activity limitations (no activity limitations, some activity limitations or no stated activity limitations).…”
Section: Methodsmentioning
confidence: 99%
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“…A set of explanatory variables drawn from the literature operationalize each of the models, controlling for a variety of variables mediating migration (see, for examples, Liaw and Qi 2004;Marr and Millerd 2004;Meyer and Speare 1985;Speare et al 1991). Individual characteristics including total household income (less than $20,000, $20,000-$39,999, $40,000-$59,999 or $60,000 and greater); age (60 years old and older 5 years prior to Census); gender (female or male); marital status (married, single or divorced, widowed or separated); immigration status (Canadianborn or foreign-born); ethnicity (North American, British Isles, French, Other European, Asian, Aboriginal, and All Other Ethnicities); home language (English only, French only, Combination of English, French or Other, or Not English or French); tenure (own home, rent home, or band housing); labor force status (not in labor force, employed or unemployed); education (high school degree or less, some b All variables significant at p<0.01 with exceptions of * significant at p<0.05 and *** are insignificant university or equivalent, or university bachelor's degree or higher); and activity limitations (no activity limitations, some activity limitations or no stated activity limitations).…”
Section: Methodsmentioning
confidence: 99%
“…Age is an important predictor of later-life migrations, with the propensity to migrate among the older population declining with age (Marr and Millerd 2004;Moore et al 1997;Newbold 1996;Northcott 1988). Of the older population those who were more likely to participate in later-life migrations tend to be younger, white, and better educated (Day and Barlett 2000;Newbold 1996).…”
Section: Introductionmentioning
confidence: 97%
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“…These two exercises reassure us that any possible miscoding in the 2000 IPUMS is not having a significant impact on our results. Lin (1997) and Marr and Millerd (2004) discuss possible problems with the typical approach of using the individual, rather than the household, as the unit of measurement that could be relevant here. Cowper et al (2000) note that elderly veterans are overwhelmingly male, which also makes the distinction between the household and the individual potentially important.…”
Section: Alternative Modelsmentioning
confidence: 99%
“…To our knowledge, we are the first to study the effect of individual characteristics on interstate migration over a long time period or to consider both disability and veteran status as additional predictors. Past census-based, multivariate studies of elderly migration have either excluded both characteristics (e.g., Frey et al 2000;Marr and Millerd 2004;Newbold 1996) or included only disability (e.g., Kallan 1993;Walters 2002b). Most descriptive studies have excluded these characteristics as well, especially veteran status, although Cowper et al (2000) is a notable exception.…”
Section: Introductionmentioning
confidence: 95%