Is Growth in the Health Sector Correlated with Later-Life Migration?

Lambert, Dayton M.; Wilcox, Michael D.; Clark, Christopher D.; Murphy, Brian; Park, William M.

doi:10.1007/978-3-642-03326-1_18

Cited by 6 publications

(6 citation statements)

References 48 publications

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“…For example, over a certain range a semivariogram might follow an exponential pattern increasing to a certain range, only to decrease and continue in sinusoidal fashion. Alternatively, visual inspection is oftentimes enough to determine the presence (or absence) of spatial structure in the semivariogram plots of residuals (Lambert et al, 2009). This approach is subjective, but errs on the conservative side since any visual evidence of structure (i.e., nonrandom distribution of error terms across the study area) would suggest use of the spatial HAC estimator.…”

Section: Estimation Methodsmentioning

confidence: 99%

Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?

Lambert

McNamara

2009

Agricultural Economics

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Infrastructure, agglomeration, product and input markets, fiscal attributes, and labor markets of local communities influenced food manufacturing location decisions in the lower 48 United States, 2000-2004. Negative binomial regression and spatial clustering methods forecast food processor location patterns at the county level. Noncore counties are at a comparative disadvantage with respect to attracting most food processors, but nonmetropolitan counties adjacent to urban areas may be attractive investment sites for footloose, supply, and demand-oriented food manufacturers. Copyright (c) 2009 International Association of Agricultural Economists.

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Section: Estimation Methodsmentioning

confidence: 99%

Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?

Lambert

McNamara

2009

Agricultural Economics

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“…Recent empirical applications have used similar nonparametric approaches toward estimating the SAR(1) covariance terms (e.g. Pinkse et al, 2002;Lambert et al, 2007Lambert et al, , 2009Anselin and Lozano-Gracia, 2008). We use the Epanechnikov kernel as the spatial decay function in the covariance function, with a kernel bandwidth of n 1/3 (see Conley, 1999).…”

Section: Econometric Modelmentioning

confidence: 99%

The rural growth trifecta: outdoor amenities, creative class and entrepreneurial context

McGranahan

Wojan

Lambert

2010

Journal of Economic Geography

242

169

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Recent work challenges the notion that attracting creative workers to a place is sufficient for generating local economic growth. In this article, we examine the problem of sustaining robust growth in the periphery of the USA, demonstrating the contingent nature of talent as an engine for economic growth. We test the hypothesis that rural growth in the knowledge economy is dependent on the ability to utilize new knowledge, perhaps generated elsewhere, in addressing local economic challenges. Tests confirm that the interaction of entrepreneurial context with the share of the workforce employed in the creative class is strongly associated with growth in the number of new establishments and employment, particularly in those rural counties endowed with attractive outdoor amenities.

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“…This finding, along with the significance of the “location of health care specialist” variable—health care specialist being in the same zip code as a respondent's PCP—suggests that migrants bypass local PCPs and continue to use the health care providers they had before they moved to their new communities. This finding not only has important implications for community development programs based on attracting retirement‐age migrants but also helps explain why previous research has not shown an increase in health care providers in areas that have experienced high rates of retirement‐age migration (Lambert et al ).…”

Section: Discussionmentioning

confidence: 61%

“…As a result, some states and rural communities view retirement‐age migration as a potential economic boon, and have designed development programs explicitly to attract retirement‐age migrants (Glasgow ; Glasgow and Reeder ; Reeder ). In fact, many retirement communities use the availability of local health care as a marketing tool to attract rural retirement‐age migrants (Lambert et al ; Loomis, Sorce, and Tyler ). However, previous research has found that rural health care services do not increase significantly with net retirement‐age in‐migration (Lambert et al ).…”

Section: Introductionmentioning

confidence: 99%

“…In fact, many retirement communities use the availability of local health care as a marketing tool to attract rural retirement‐age migrants (Lambert et al ; Loomis, Sorce, and Tyler ). However, previous research has found that rural health care services do not increase significantly with net retirement‐age in‐migration (Lambert et al ). Instead, patterns in the organization of rural health care have shown a decline in the total number of PCPs available in rural communities, with many rural health care networks consolidating their services in larger regional communities (Cutler and Morton ).…”

Section: Introductionmentioning

confidence: 99%

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Healthcare Use in the Heartland: How Health Care Selection Varies Between Rural, Retirement‐Age Migrants and Long‐Term Residents

et al. 2015

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One increasingly important problem affecting rural health care selection is the tendency of older residents to bypass local health care providers. This research investigates how the effects of community characteristics and attachment on health care bypass behavior vary between rural retirement-age migrants and retirement-age long-term residents. Non-health-related behaviors, such as purchasing goods and services outside one's community during a health care trip, that is, "outshopping," could influence bypass if individuals combine trips for their medical care with other consumer needs. Basing our work on the outshopping theory, we argue that bypass behavior is one facet of consumer consumption patterns for both rural retirement-age migrants and long-term residents. In addition, dissatisfaction with local health care and services like shopping can "push" rural residents to bypass local health care and travel greater distances for primary health care. We further contend that strong community attachment has an opposite "pull" effect that can help to negate the push of outshopping and reduce the likelihood of bypass. Our results reveal retirementage migrants are significantly more likely to bypass local primary health care providers than retirement-age long-term residents. Furthermore, our analysis bridges the rural health care and retirement community development literature to suggest that outshopping theory can now be applied to rural primary health care bypass behavior.

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Is Growth in the Health Sector Correlated with Later-Life Migration?

Cited by 6 publications

References 48 publications

Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?

Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?

The rural growth trifecta: outdoor amenities, creative class and entrepreneurial context

Healthcare Use in the Heartland: How Health Care Selection Varies Between Rural, Retirement‐Age Migrants and Long‐Term Residents

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