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effects_of_family_structure_on_policy_outcomes [2015/09/30 20:25]
marri 		effects_of_family_structure_on_policy_outcomes [2022/03/23 16:14] (current)
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 +==========Effects of Family Structure on Policy Outcomes==========
 +
 +The United States Family Belonging Index is 46 percent, with a corresponding Family Rejection Index of 54 percent, based on 2008-2012 data from the U.S. Census Bureau’s American Community Survey.((Steven Ruggles, J. Trent Alexander, Katie Genadek, Ronald Goeken, Matthew B. Schroeder, and Matthew Sobek, //Integrated Public Use Microdata Series: Version 5.0 [Machine-readable database]//, (Minneapolis: University of Minnesota, 2010).)) The action of parents determines the Family Belonging or Rejection Index within a nation, region, state, or racial or ethnic group—whether they marry and belong to each other, or whether they reject one another through divorce or other means. Rejection leaves children without married parents committed to one another and to their children. 
 +
 +The Index of Family Belonging is determined by the fraction of children aged 15 to 17 in a given area who live with both their biological parents, who have been married since before or around the time of their birth. 
 +
 +The government depends on the intact family for the achievement of its stated goals. Government will likely continue to fail to achieve its goals if it continues to neglect the reality of this dependence. 
 +
 +{{ :family_intactness_choropleth_us.png?direct&600 |}}
 +
 +
 +=====1. Methodology=====
 +
 +This research examines the influence of certain demographic, educational, and economic variables-- including the Index of Family Belonging--on social outcomes of policy interest (See below for a list of the outcomes studied).
 +
 +**Social Outcomes of Policy Interest**
 +  * Teenage [[effects_of_out-of-wedlock_births_on_society|out-of-wedlock]] births, fraction of all births
 +  * High school graduates, fraction of 19- to 20-year-olds
 +  * Employment, fraction of 25- to 54-year-old men working
 +  * Earnings, average per 25- to 54-year-old male
 +  * Fraction of households owning a home
 +  * Persons below [[effects_of_family_structure_on_poverty|poverty]] line, fraction of overall population
 +  * Persons below [[effects_of_single_parents_on_poverty_rates|poverty]] line, fraction of 25- to 54-year-old females
 +  * Persons below poverty line, fraction of minors
 +  * [[effects_of_family_structure_on_government_dependency|Food stamp]] recipients, fraction of total population
 +  * TANF & state welfare transfers, average per 25- to 54-year-old female
 +  * Social Security Disability Income, average per 25- to 54-year-old
 +  * Social Security Disability Income, average per 25- to 54-year-old male
 +  * Supplemental Security Income (SSI), average per 25- to 54-year-old male
 +  * Supplemental Security Income (SSI), average per 25- to 54-year-old female
 +  * [[effects_of_family_structure_on_healthcare_coverage|Public healthcare]], fraction of 25- to 54-year-olds receiving
 +  * Public healthcare, fraction of minors receiving
 +  * [[effects_of_family_structure_on_healthcare_coverage|Private healthcare]], fraction of 25- to 54-year-olds covered
 +  * Private healthcare, fraction of minors covered
 +
 +In effect, researchers developed empirical models determining the influences of the explanatory variables (below) on these outcomes as seen across Census geographic areas. The models show the relative importance of these influences, meaning both precision about((Precision has a formal meaning. It indicates how clearly determinable (distinguishable from zero) an influence on an outcome is. This is depicted graphically in the Methodology appendix.)) and magnitude of each influence.
 +
 +**Explanatory Variables Investigated** (Type of Variable)
 +  * Fraction of families intact--Belonging (demographic)
 +  * Fraction of high school graduates of prime age((25- to 54-year-olds
 +\\
 +\\
 +\\
 +This entry draws heavily from [[http://marri.us/research/research-papers/u-s-social-policy-dependence-on-the-family/|U.S. Social Policy Dependence on the Family]].)) (educational)
 +  * Fraction of college graduates of prime age (educational)
 +  * Fraction Hispanic (demographic)
 +  * Fraction black (demographic)
 +  * Population density--urbanicity (demographic)
 +  * Average age of prime-age adults (demographic)
 +  * Average age of adults aged 40 to 60 (demographic)
 +  * Minor dependency ratio (demographic)
 +  * Old age dependency ratio (demographic)
 +  * Income earned in prime age (economic)
 +  * Household income, any type (economic)
 +
 +=====2. Summary of Findings=====
 +
 +When measured, family intactness always has a beneficial influence on the outcome. It is at least as effective as any other factor in influencing the 18 outcomes analyzed, and, in many cases, family intactness is the most important factor in determining a beneficial outcome across the geographic areas studied.
 +
 +====2.1 Out-of-Wedlock Births====
 +
 +Family intactness has the strongest attenuating influence on teenage [[effects_of_out-of-wedlock_births_on_society|out-of-wedlock birth]], itself a source of economic hardship.
 +
 +====2.2 Education====
 +
 +Family intactness is very influential on [[effects_of_family_structure_on_children_s_education|high school graduation]] rates. It influences high school graduation rates more than the fraction of adult college graduates in an area. Family intactness and the fraction of adult high school graduates in an area have similar beneficial influences on prime-age male employment rates.
 +
 +====2.3 Income====
 +
 +Family intactness and the fraction of adult high school graduates in an area have similar beneficial influences on prime-age male employment rates.
 +
 +The ratio of children to adults in an area (larger families) has a large, positive influence on prime-age male employment, and it has the largest consistently positive influence on [[effects_of_family_structure_on_income|earnings of prime-age males]] in the area.
 +
 +====2.4 Need and Dependency====
 +
 +Family intactness is the most important factor (or shares the place of greatest importance) in determining an area's dependence on [[effects_of_welfare_on_families|welfare programs]] that target organic poverty:
 +
 +  * Receipt of food stamps,
 +  * Temporary Assistance for Needy Families and state welfare transfers,
 +  * Supplemental Security Income transfers, and 
 +  * Prime-age adult public healthcare recipiency.
 +
 +Family intactness has the second-largest influence on overall diminishment of prime-age female, and child, poverty.
 +
 +=====3. Role of Race and Ethnicity=====
 +
 +Once family intactness, high school drop-out levels, and other demographic factors are taken into account, the fraction of blacks or Hispanics in an area rarely has a strong detrimental influence on the outcomes studied.
 +
 +  * The fraction of the population that is Hispanic is normally a beneficial influence or shows no precise impact and has an adverse influence on less than one-fourth of the outcomes studied.
 +  * The fraction of the population that is black has an adverse influence on approximately half of the outcomes measured and is otherwise a beneficial or indeterminate influence.