Marital Status,Spousal Characteristics,and the Use of Preventive Care

In this article, we investigated the effects of marriage and spousal characteristics on the use of preventive care. We accounted for the endogeneity of marriage by combining propensity score estimation techniques with marriage transitions observed in longitudinal data. Results indicated that marriage increases the probability of dental check-ups and physical examinations for both sexes and mammograms and Pap smears for women. Next, we examined whether spousal characteristics affect the use of preventive care. Spousal education, income, health conditions, and preferences for risk and health care all affected use of preventive care in expected directions. Taken together, we conclude that marriage increases the use of preventive care; however, the net marital effect masks a heterogeneity that results from the characteristics of the spouse an individual marries.     

Friends in Old Age

Psychoanalysis has long recognized the vital role that relationships between people play in human development and in the maintenance of sense of well being throughout life. While the internalization of representations of significant others and their interactions with each other, the achievement of object constancy, makes it possible to gain support from the realization that we live in the minds of others and they in ours’, it is “not enough.” We need people “in the flesh” from “cradle to grave.” Unfortunately, this need is more difficult to meet in our later years. Parents, siblings, mates, love partners die. Children move away. No longer do we have daily contact with our work colleagues. Old friends are lost, never to be replaced, making the ability to form and maintain additional friendships as well as the opportunity to do so critical in the life of the elderly. This paper considers the roles that friends play in old age, the developmental achievements that contribute to the capacity for friendship, some of the factors that may impede doing so, and finally the ways in which psychoanalytic treatment may foster an individual’s ability to be a friend and make friends.     

Strength in Diversity? Group Heterogeneity in the Mobilization of Grassroots Organizations

Grassroots groups often find that they need to manage issues of diversity along racial/ethnic, class, gender, religious, and/or citizenship lines, among several other axes of difference. There are strong reasons to expect that diversity is a benefit to such groups, especially in terms of coalition breadth and the widely held expectation that internal heterogeneity helps organizations to resolve collective action dilemmas. Nonetheless, a long tradition within sociological research sets out the expectation that group heterogeneity thwarts the formation of collective identities and group solidarity, and therefore limits the potential for effective organizing. With a particular emphasis on groups active in local community‐based organizing since the 1970s, we review studies on a variety of features of group diversity and their effects on mobilizing processes. We find that although researchers remain somewhat divided on these critical issues, the preponderance of evidence suggests that managing diversity poses significant challenges for grassroots organizing efforts. While these challenges may not easily be overcome, we point to a variety of cases in which group differences offered a significant asset to social change efforts.     

BIG DATA AND BIG CITIES: THE PROMISES AND LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE

New, “big data” sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar imagery data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services. (JEL R1, C8, C18)     

Misspecifications of the Normal Distribution

Incorrect statements about the normal distribution are discussed and illustrated with counterexamples.