Abstract
In 1995, a study entitled “Does Marriage Matter?” was published by Linda Waite in the journal of Demography, which was concerned with the direction of such causal relationships. While Waite’s examination of the causal relationships
associated with marriage, and most other analyses of this type, is primarily concerned with the individual level effects of
marriage on a variety of outcomes, little is understood concerning the ecological effect of community marriage rates on levels
of aggregate well-being. This study aims to contribute to this gap through the implementation of a recent conceptualization
of social well-being as a multi-dimensional measure incorporating both biological, operationalized as average life expectancy,
and social phenomena, operationalized as, community level crime rates (Raphael, Making the links: what do health promotion,
crime prevention, and social development have in common? in 2004). It is important to understand such aggregate level effects in the face of the existing literature, which relies heavily
on relational associations which could be subject to ecological fallacy. Analytic techniques incorporate Exploratory Spatial
Data Analysis and spatial regression techniques, due to the high existence of spatial autocorrelation often evident in census
data, as a way of understanding the effect of the aggregate level marriage rate on the constructed social well being indicator.
associated with marriage, and most other analyses of this type, is primarily concerned with the individual level effects of
marriage on a variety of outcomes, little is understood concerning the ecological effect of community marriage rates on levels
of aggregate well-being. This study aims to contribute to this gap through the implementation of a recent conceptualization
of social well-being as a multi-dimensional measure incorporating both biological, operationalized as average life expectancy,
and social phenomena, operationalized as, community level crime rates (Raphael, Making the links: what do health promotion,
crime prevention, and social development have in common? in 2004). It is important to understand such aggregate level effects in the face of the existing literature, which relies heavily
on relational associations which could be subject to ecological fallacy. Analytic techniques incorporate Exploratory Spatial
Data Analysis and spatial regression techniques, due to the high existence of spatial autocorrelation often evident in census
data, as a way of understanding the effect of the aggregate level marriage rate on the constructed social well being indicator.
- Content Type Journal Article
- Pages 1-20
- DOI 10.1007/s11205-011-9884-8
- Authors
- Jeremy R. Porter, Graduate Center, Brooklyn College & Institute for Demographic Research, City University of New York (CUNY), 218 Whitehead Hall, 2900 Bedford Ave., New York, NY 11210, USA
- Journal Social Indicators Research
- Online ISSN 1573-0921
- Print ISSN 0303-8300