Influentials,novelty, and social contagion : The viral power of average friends,close communities,and old news

What is the effect of (1) popular individuals, and (2) community structures on the retransmission of socially contagious behavior? We examine a community of Twitter users over a five month period, operationalizing social contagion as ‘retweeting’, and social structure as the count of subgraphs (small patterns of ties and nodes) between users in the follower/following network.     

Evolutionary Process of Social Capital Formation through Community Currency Organizations: The Japanese Case

Community currency systems are said to influence the revival of communities by promoting either local economic growth or social capital accumulation. However, no empirical studies have examined the multiple competing mechanisms for providing social support through transactional networks among participants. The current study connects network structural concepts to theories of social capital, transaction costs, homophily, and resource dependency at multiple levels and evaluates transactional relationships for community rebuilding and local economic development. We examine the evolutionary process of dynamic networks among local residents or organization members with network configurations in one of the largest Japanese community currency systems, “Peanuts.” Using longitudinal network data over 12 years for approximately 1400 actors, we conclude that the evolution and achievement of transactional network dynamics and partner selections differ between the two groups of participants: individual members and organization members. We also provide practical implications for sustaining participants’ transactions and commitment.     

Cohort Differences and the Marriage Premium: Emergence of Gender‐Neutral Household Specialization Effects

Using fixed‐effects models and National Longitudinal Survey of Youth 1979 and National Longitudinal Survey of Youth 1997 data, we compared cohort, gender, and household specialization differences in the marriage premium. Do these premiums (a) persist among millennials, (b) reflect changing selection into marriage across cohorts, and (c) differ by the gender division of spousal work hours? Despite declining gender‐traditional household specialization, the millennial cohort garnered larger marriage premiums for women and men. Positive selection explained millenial women's marriage premiums, but less of men's. Household specialization mattered only among millennials, where it is gender neutral: Male and female breadwinners earned significantly larger marriage premiums, whereas husbands and wives specializing in nonmarket work earned no premium, or even penalties, when employed. Results show increasing disadvantage among breadwinner households, with dual earners most advantaged among millennials.     

How many people participated in candlelight protests? Counting the size of a dynamic crowd

The recent controversy about the size of crowds at candlelight protests in Korea raises an interesting question regarding the methods used to estimate crowd size. Protest organizers tend to count all participants in the event from its start to finish, while the police usually report the crowd size at its peak. While several counting methods are available to estimate the size of a crowd at a given time, counting the total number of the participants at a protest is not straightforward. In this paper, we propose a new estimator to count the total number of participants that we call the size of a dynamic crowd. We assume that the arrival and departure times of the crowd are randomly observed and that the number of the attendees in the crowd at a specific time is estimable. We estimate the number of total attendees during the entire gathering based on the capture-recapture model. We also propose a bootstrap procedure to construct a confidence interval for the crowd size. We demonstrate the performance of the proposed method with simulation studies and the data from Korea''s March for Science, a global event across the world on Earth Day, April 22, 2017.     

Analysis of state general sales tax policy: A complementary approach to the effects of causes and the causes of effects

Previous research and theory on state general sales tax policy provide the major factors and components of the sales tax base that affect revenue reliance and tax burden. However, previous research on general sales tax policy has concentrated on individual factors and components of the sales tax base without considering the interdependent and interrelated causes of revenue reliance and tax burden. In addition, regression-based analyses are limited in analyzing the causal conjunctures that affect revenue reliance and tax burden. Thus, this research focused on a complementary approach to the effects of causes and the causes of effects, thereby empirically examining the combined causes of revenue reliance and tax burden through a (fs) QCA analysis of U.S. state data spanning from 2007 to 2010. This study reveals that the combined causes of revenue reliance and tax burden vary as ideal types compared with the effects of real types observed in the panel data analysis. This study contributes to the current literature by examining interrelated and interdependent causal relationships with regard to revenue reliance and tax burden in a complementary manner. State governments must consider the combined effects of causal conjunctures that affect revenue reliance and tax burden.     

Discussion on “A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models”

In this discussion, the sensitivity of the result by the choice of parameters a and b in one of approaches reviewed by the authors to calculate the marginal likelihood for 2 parameter logistic item response theory model is investigated using a small simulation study.     

Nepalese Budgetary Dynamics: Following Incrementalism or Punctuated Equilibrium?

Public Organization Review - Government budget appropriation patterns are mainly explained by theories of incrementalism and punctuated equilibrium. Consistent with these theories, this study...     

Depressive Symptoms and Their Association With Adverse Environmental Factors and Substance Use in Runaway and Homeless Youths

We used diathesis‐stress and stress‐sensitization models to determine whether family maltreatment, street‐related traumatic events, stressful life events, and substance use were associated with depressive symptoms in runaway and homeless youths (RHY) in Los Angeles. Greater severity of depressive symptoms was significantly related to family maltreatment, being exposed to more traumatic stressors during homelessness, and current substance use compared to no substance use. Family maltreatment was also found to moderate the relationship between traumatic stressors and depressive symptoms. Importantly, cumulative exposure to the investigated risk factors at varying levels was associated with more severe depressive symptoms. Using a trauma‐informed approach to screen for RHY at risk of depression may pave the way for secondary prevention of major depression in RHY.     

WHY DO U.S. PARENTS PREFER PRIVATE TO FOSTER CARE ADOPTIONS? THE ROLE OF ADOPTION SUBSIDIES,GENDER, RACE,AND SPECIAL NEEDS

We analyze the demand behavior of adoptive parents in the U.S.A. For the theory, we apply vertical product differentiation to characterize the demand for domestic private, foster care and international adoptions. Then, we use the 2007 U.S. National Survey of Adoptive Parents and apply the control-function approach to a mixed logit model. We find interesting insights into the relationship between adoption choices and an adoptive parent's preferences over gender, race, and special needs. The government needs to pay an additional $735 ($506) a month to make a parent feel indifferent between international (domestic private) and foster care adoptions. (JEL O12, D10, L13)     

Spatial Analyses of the Impact of Temporary Assistance for Needy Families on Child Neglect Caseloads During the Great Recession

Loss of market income to families is recognized as a major risk factor of child neglect. In the 2008 recession, some poor families replaced their market incomes with cash assistance from Temporary Assistance for Needy Families (TANF). Using secondary data for 42 contiguous jurisdictions and DC, we examined the relationship between increases in TANF caseloads and changes in substantiated child neglect cases in each of the contiguous jurisdiction’s 2008 recession. Key findings suggest that reductions in child neglect cases in the presence of increasing TANF caseloads were more profound in about half the states than any increases in child neglect cases found in the remainder of the states. Applying Exploratory Spatial Data Analysis tools, local spatial clusters were found in four neighboring states in the Midwest-South corridor suggesting that child neglect increases were similar and substantial across these four states. Our findings provide important information to stakeholders who may want to better target federal resources to specific geographic regions. Neighboring states experiencing large increases in child neglect during economic downturns may extend their collaborative efforts so they can develop strategies for improving services. Future research should explain the growth in child neglect with other variables aside from TANF caseloads.