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The presence of children can influence importantly how households respond to income risk. The aim of this dissertation is to study how different aspects of families' life-cycle decisions are affected by different sources of income fluctuation. In the first part of this dissertation, I study the relationships between fertility choices,

The presence of children can influence importantly how households respond to income risk. The aim of this dissertation is to study how different aspects of families' life-cycle decisions are affected by different sources of income fluctuation. In the first part of this dissertation, I study the relationships between fertility choices, consumption, and labor supply, by developing a model with endogenous fertility decisions and income volatility. Within this framework, fertility choices act as a mechanism to smooth utility over time. In this context, I analyze the insurance value of fertility choices. I use a structural model that combines two features underexplored by the literature: children as consumption commitments, and nonseparabilities of family size and consumption. Having children in the household affects consumption and labor marginal utilities, changing the insurance value of fertility decisions and generating incentives to avoid childbearing during low-income spells. I find that the welfare loss of a negative transitory income shock is 34 to 38 times larger if households are not able to choose when to have their children. These results underscore how costly unplanned childbearing can be to the household in terms of welfare.The second part of this dissertation evaluates the impact of being born under negative conditions in the labor market on human capital formation, and what parental behavior could be leading to those effects. I estimate the impact of the unemployment rates on children's assessment outcomes in cognitive and noncognitive skills. Counterintuitively, the results suggest that higher unemployment rates are linked to positive child development outcomes later in childhood. In my main specification, an increase of 1 percentage point in state unemployment causes an increase of 2.5% of a standard deviation in cognitive test scores after controlling for income at birth, hours worked at birth, and other variables.
ContributorsMangini, Marco (Author) / Silverman, Daniel (Thesis advisor) / Aucejo, Esteban (Committee member) / Murphy, Alvin (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Background: It is estimated that 50% of all mental illness arises prior to age 14, an incident attributed in part to disruptions and imbalances within the family system. Equine assisted learning is a complementary and alternative approach to family therapy which is being used increasingly to promote mental health in

Background: It is estimated that 50% of all mental illness arises prior to age 14, an incident attributed in part to disruptions and imbalances within the family system. Equine assisted learning is a complementary and alternative approach to family therapy which is being used increasingly to promote mental health in both adults and children. This study sought to build and deliver an evidence-based, family-centered equine assisted learning program aimed at promoting family function, family satisfaction and child social-emotional competence, and to measure its acceptability and preliminary effect.

Method: Twenty families with children 10 years and older were recruited to participate in a 3-week equine assisted learning program at a therapeutic riding center in Phoenix, Arizona. Sessions included groundwork activities with horses used to promote life skills using experiential learning theory. The study design included a mixed-method quasi-experimental one-group pretest posttest design using the following mental health instruments: Devereaux Student Strengths Assessment, Brief Family Assessment Measure (3 dimensions), and Family Satisfaction Scale to measure child social-emotional competence, family function, and family satisfaction, respectively. Acceptability was determined using a Likert-type questionnaire with open-ended questions to gain a qualitative thematic perspective of the experience.

Results: Preliminary pretest and posttest comparisons were statistically significant for improvements in family satisfaction (p = 0.001, M = -5.84, SD = 5.63), all three domains of family function (General Scale: p = 0.005, M = 6.84, SD = 9.20; Self-Rating Scale: p = 0.050, M = 6.53, SD = 12.89; and Dyadic Relationship Scale: p = 0.028, M = 3.47, SD = 7.18), and child social-emotional competence (p = 0.015, M = -4.05, SD 5.95). Effect sizes were moderate to large (d > 0.5) for all but one instrument (Self-Rating Scale), suggesting a considerable magnitude of change over the three-week period. The intervention was highly accepted among both children and adults. Themes of proximity, self-discovery, and regard for others emerged during evaluation of qualitative findings. Longitudinal comparisons of baseline and 3-month follow-up remain in-progress, a topic available for future discussion.

Discussion: Results help to validate equine assisted learning as a valuable tool in the promotion of child social-emotional intelligence strengthened in part by the promotion of family function and family satisfaction. For mental health professionals, these results serve as a reminder of the alternatives that are available, as well as the importance of partnerships within the community. For therapeutic riding centers, these results help equine professionals validate their programs and gain a foothold within the scientific community. Additionally, they invite future riding centers to follow course in incorporating evidence into their programs and examining new directions for growth within the mental health community.
ContributorsSolarz, Allison (Author) / Chen, Angela (Thesis advisor)
Created2019-05-02
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Description

Background: 
Approximately 1 in 5 U.S. school-aged children are obese. There are many known health complications associated with obesity including premature death. Family-based obesity interventions that promote healthy lifestyle habits are effective at enabling children to make changes needed to avoid long-term health complications associated with obesity. The purpose of this

Background: 
Approximately 1 in 5 U.S. school-aged children are obese. There are many known health complications associated with obesity including premature death. Family-based obesity interventions that promote healthy lifestyle habits are effective at enabling children to make changes needed to avoid long-term health complications associated with obesity. The purpose of this evidence-based practice intervention was to evaluate the effectiveness of a family-based obesity intervention on familial lifestyle behaviors related to nutrition, physical activity, and screen time.

Methods:
Two overweight-obese children (according to CDC criteria) ages 8-12 years old visiting a pediatric primary care clinic in a suburban neighborhood located in the southwest region were recruited to participate in this evidence-based practice intervention based on inclusion and exclusion criteria. Familial lifestyle behaviors were assessed using the Family Health Behavior Scale (FHBS) prior to receiving an educational intervention addressing nutritional, physical activity, and screen time recommendations and again after following these recommendation for 6-weeks. Additionally, scheduled follow-up phone calls were made every 3 or 6-weeks addressing any parental questions that surfaced. Data was insufficient for statistical analysis, however, anecdotal recommendations for future implementation of this intervention resulted.

Results:
Of the two patients who participated, pre- and post-intervention data was only attainable from one patient. That patient did have improved scores within each of the 4 FHBS subscales (parent behaviors, physical activity, mealtime routines, and child behaviors). Overall, 11 of the 27 behaviors assessed improved, 12 behaviors resulted in no change, and 4 behaviors worsened. Recommendations related to a more successful implementation of this intervention in the future include improved provider participation (buy-in), utilization of broader inclusion criteria, consideration of the implementation time-frame, and application of the Health Belief Model for addressing existing barriers for each patient prior to implementing the intervention.

Conclusions:
In order to determine the effectiveness of this intervention a larger sample size and completed post-intervention data are needed. The small sample size and lack of post-intervention data inhibits proper data analyzation and significance from being determined.

ContributorsAgliano, Courtney (Author) / Crawford, Daniel (Thesis advisor)
Created2018-05-02