Analyzing Factors Attracting Elderly In-Migrants in Tennessee
Abstract
The objective of this study is to determine the factors to attract elderly in-migrants from the perspective of counties in Tennessee. Two linear fixed-effect empirical models are used to conduct regression analysis with the first one using percentage of the 60-year-old-above cohort as dependent variable and the second one using percentage of the 67-year-old-above cohort. County-level data including ninety-five counties in Tennessee for five years of 1962, 1972, 1982, 1992, and 2002 was obtained from Tax Aggregate Reports of Tennessee as well as Tennessee and US Census of Government files. Results indicate that the elderly inmigration rate is positively correlated to the proportion of elderly people, the percentage of people with high school degree, medium family income, and population density. County governors could make appropriate strategies or policies to pull those elderly in according to the results by improving amenity or life quality for elderly in each county.
Full Text: PDF DOI: 10.15640/jeds.v4n1a6
Abstract
The objective of this study is to determine the factors to attract elderly in-migrants from the perspective of counties in Tennessee. Two linear fixed-effect empirical models are used to conduct regression analysis with the first one using percentage of the 60-year-old-above cohort as dependent variable and the second one using percentage of the 67-year-old-above cohort. County-level data including ninety-five counties in Tennessee for five years of 1962, 1972, 1982, 1992, and 2002 was obtained from Tax Aggregate Reports of Tennessee as well as Tennessee and US Census of Government files. Results indicate that the elderly inmigration rate is positively correlated to the proportion of elderly people, the percentage of people with high school degree, medium family income, and population density. County governors could make appropriate strategies or policies to pull those elderly in according to the results by improving amenity or life quality for elderly in each county.
Full Text: PDF DOI: 10.15640/jeds.v4n1a6
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