Factors differentiating elderly residential movers and nonmovers

Sommers, Dixie; Rowell, Katherine R.

doi:10.1007/bf00124940

Cited by 36 publications

(39 citation statements)

References 25 publications

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“…Early life course events and achievements have long‐term consequences on late‐life living arrangements and mobility. The number of living siblings, parity, and offspring gender affect household composition and migration (Al‐Hamad et al., 1997; Angel et al., 1992; Cagney & Agree, 1999; Choi, 1996a; Davis et al., 1996; De Jong et al., 1995; Espejo et al., 1999; Mickus et al., 1997; Mutchler, 1990; Schoeni, 1998; Silverstein, 1995; Sommers & Rowell, 1992; Speare et al., 1991; Spitze et al., 1992). Other historical factors, such as lower educational achievement, shorter residential tenure, and not being a home owner are related to more intergenerational co‐residence (Bradsher et al., 1992; Chevan, 1995; Choi, 1996c; De Jong et al., 1995; Lu, 1998; Mui & Burnette, 1994; Sommers & Rowell, 1992; Speare et al., 1991; Speare & Avery, 1993; Spitze et al., 1992).…”

Section: Resultsmentioning

confidence: 99%

Living Arrangements and Health Status in Later Life: A Review of Recent Literature

Hays

2002

Public Health Nursing

127

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The living arrangements of older persons play a key role in their use of formal and informal care, as well as in their health and well-being. Nurses engaged in primary care, discharge planning, and home care are strategically positioned to contribute to an optimal fit between older persons and their home environment. This article describes the demographic significance of late-life living arrangements and proposes a model for organizing the complex web of factors associated with household composition and late-life migration. The article then summarizes qualitative and quantitative evidence in support of the proposed model. Key areas for nursing research and strategies for applying available research are identified.

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Section: Resultsmentioning

confidence: 99%

Living Arrangements and Health Status in Later Life: A Review of Recent Literature

Hays

2002

Public Health Nursing

127

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“…The elderly appear to seek states with lower living costs (Serow, 1987), but they move to states with higher per capita incomes and higher real growth rates (Gale and Heath, 2000). Sommers and Rowell (1992) found that the propensity for elderly relocation declined with longer times of residency, home ownership, the need for community support services, and fewer adult children.…”

Section: Past Researchmentioning

confidence: 99%

Migration of elderly households in Canada, 1991–1996: determinants and differences

Marr

Millerd

2004

Population Space and Place

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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 a stronger effect on females then on males. ABSTRACTThe elderly, already a significant component of internal migration in Canada, will be an increasingly important element of future internal migration. Using census data on households, the flows and determinants of elderly migration are examined and compared with younger groups. Few migrate as individuals, most moves are multiple-person moves, and the household, particularly the family, is the appropriate unit of analysis. In 1996 over 88% of those who migrated in the previous five years were members of households of two or more persons. The elderly are compared with the near-elderly and those likely to be in the labour force, using the age of the primary household maintainer, a person named by each household, to classify households. The elderly are households with a primary household maintainer 65 years of age or over, the nearelderly have a primary household maintainer of 55 to 64 years, and independent decisionmakers, the major component of the labour force, have a primary household maintainer aged 25 to 54. Significant differences are found between the groups. The elderly have a lower rate of migration and their migration determinants and destinations are less driven by employment considerations. While education, for example, is a consistently-found determinant of migration for those in the labour force, it is much less significant for the

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“…For example, Kallan's (1993) analysis, based on PSID data, used approximately 800 respondents (observed for 3895 person-years), among which only 91 intercounty moves were recorded. Consequently, panel-data sources have generally been used to address questions such as who moves, when they move, and the sequencing of moves relative to other life events such as retirement or the death of a spouse, rather than the question of where people move (see Henretta, 1986;Sommers and Rowell, 1992;Venti and Wise, 1989, for research based on the PSID, LSOA and RHS respectively).…”

Section: Migration Datamentioning

confidence: 99%

Retire to where? A discrete choice model of residential location

Duncombe

Robbins

Wolf

2001

International Journal of Population Geography

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Many studies of migration attempt to identify attributes of places that in¯uence residential location decisions. Most such studies relate an area's migration rates to its own attributes, or the¯ow of migrants between two areas to the attributes of both places. We focus on retirement migration within the US, and extend the literature by using a discrete choice framework in which a person's location decision depends on the attributes of all potential locations. Using a multinomial logit speci®cation and 1990 Census county-to-county migration data, we model the location choice of individuals aged 65 to 74 years from among more than 3000 counties. In order to make the estimation problem manageable, we employ the sampling-of-alternatives approach of McFadden, and use aggregated migratoryow data for which existing estimation software is applicable. Our results indicate that, in general, persons around retirement age avoid high taxes and housing costs, while they are drawn to areas with relatively high spending on such services as ®re, police and recreation. Amenities such as coastline and warm weather are also valued.

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Factors differentiating elderly residential movers and nonmovers

Cited by 36 publications

References 25 publications

Living Arrangements and Health Status in Later Life: A Review of Recent Literature

Living Arrangements and Health Status in Later Life: A Review of Recent Literature

Migration of elderly households in Canada, 1991–1996: determinants and differences

Retire to where? A discrete choice model of residential location

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