Work patterns and marital status change

The impact of marital status changes on the lives of adults and children has increased importance as marriage, divorce, and remarriage have become more frequent patterns of family composition change. These events can often be predicted by the family members involved so that they may be accompanied by changes in labor market activity prior to the events themselves. The study reported here uses panel data to examine the labor market activity changes that precede marital status changes. Women who become divorced increase hours of work in the year or two before the divorce occurs, and women who become remarried decrease hours of work in the year of the remarriage and thereafter. For men there seems to be little change in labor supply during these years. However, hours of housework for men do seem to change.This research has been supported by the United States Department of Agriculture through the New York Agricultural Experiment Station under Southern Regional Project S-206. The data utilized in this work were made available in part by the Inter-University Consortium for Political and Social Research. The data were originally collected by James N. Morgan, et al. The contents of this article do not necessarily reflect the view of the Inter-University Consortium or the institutions with which the researchers are affiliated. We wish to especially thank Robert Avery for his helpful comments throughout this research and Veronica Abel for her able research assistance.Jennifer L. Gerner is Associate Professor, Department of Consumer Economics and Housing, 137 Martha Van Rensselaer Hall, Cornell University, Ithaca, NY 14853. Her research interests include the economics of the family and family organization. She received her Ph.D. from the University of Wisconsin. Catherine Phillips Montalto is a Ph.D. candidate in the Department of Consumer Economics and Housing, Cornell University, Ithaca, NY 14853. Her research interests include the economic behavior of households. W. Keith Bryant is Professor and Chair of the Department of Consumer Economics and Housing, 117D Martha Van Rensselaer, Cornell University, Ithaca, NY 14853. He received his Ph.D. from Michigan State University.     

Loss Aversion and Saving Behavior: Evidence from the 2007 U.S. Survey of Consumer Finances

This study uses data from the 2007 Survey of Consumer Finances to examine household saving behavior based on the two-period model of consumption/saving presented by Bowman et al. (Econ Behav Organ 38:155–178, 1999). The main focus of the model is the existence of an asymmetry in saving behavior in response to positive and negative adjustments in income. The results of the logistic regression analysis support the existence of loss aversion at the household level, where having income below the household’s reference level significantly decreases the likelihood of saving, but having income above the household’s reference level does not have a significant effect on the likelihood of saving.     

The Effect of Long-Term Care Insurance on Home Care Use Among the Disabled Elders

Using the 1998?C2004 Health and Retirement Study, this study uses Cox??s model to explore the effects of private long-term care insurance ownership on first home care use among the disabled elderly. Results show that long-term care insurance ownership and Medicaid eligibility did not significantly increase the likelihood of using home care services, while income and homeownership lowered this likelihood. Functional limitation was the key determinant of home care use and those who lived with children were less likely to use home care services. Based on the findings, this study provides foundations for long-term care policies and long-term care planning programs.     

Does Culture Make a Better Citizen? Exploring the Relationship Between Cultural and Civic Participation in Italy

In the last decades, policy discussions have increasingly considered participation in arts and cultural activities as a vehicle to reach broader social policy goals, such as social inclusion or active citizenship. However, convincing empirical evidence on the social impacts of arts and culture is still scarce. In particular, little attention has been given to the impact that cultural participation may have on individuals’ engagement in civil society, especially in Europe. In order to address this lack of evidence, this paper explores the connection between cultural participation and civic participation in Italy using Likert-scale data collected in the ISTAT “Aspetti della Vita Quotidiana” Survey (2014). To do so, two composite indicators—the participation in cultural life indicator and the participation in civic life indicator—have been built using an approach based on partial order theory and the concept of Average Rank. The effect of cultural participation on civic engagement has been estimated using a quantile regression model which controls for potentially cofounding factors such as education, income, age and gender. Results do confirm that participation in arts and cultural activities is highly correlated with participation in civic life. It is particularly worth noticing that at higher levels of civic participation, cultural participation has a positive and strong effect on civic engagement of people having a low educational level.

     

The role of impulsivity,cognitive bias,and reasoned action in understanding college student gambling

Factors related to gambling behavior among college students in the USA are examined by applying the theory of reasoned action (TRA) and incorporating the concepts of impulsivity and cognitive bias. This study uses a broader approach to analyze gambling behavior by including financial behavior variables using ordinary least squares (OLS) and logistic regressions. The survey data were collected through a self-administered online questionnaire of college students from 19 colleges and universities in the fall of 2010. With a sample of 5024 college students, a majority of the respondents (84.45%) in this study report that they did not gamble in the last 30 days. The results of multivariate analysis indicate that gambling is related to attitudes toward gambling, cognitive bias toward gambling, subjective norms of family members regarding financial behavior, and impulsivity. Underestimation of financial behavior (cognitive bias toward financial behavior) was found to be associated with only gambling frequency but not gambling propensity.