Foster care and the earned income tax credit

Foster care is a source of significant costs to both governments and foster children. Policies that provide income support to households potentially reduce entry into foster care via reducing child maltreatment and improving child behavior. As part of the American Recovery and Reinvestment Act in 2009 (ARRA2009), the federal government expanded the earned income tax credit (EITC), which is an important income support program for low-income working households. Using state-level data, we investigate the impact of this EITC expansion on state-level foster care entry rates. Typically, states with state-level EITC match federal EITC spending at a specific rate, meaning that increases in federal EITC spending increase state-level spending as well. We find that expansion of EITC decreased foster care entry rates by 7.43% per year in states with a state-level EITC, relative to those without. In models that separately examine foster care entry rates by age of the child, we find that the ARRA2009 had different effects on foster care entry based on the child’s age. We find that ARRA2009 decreased foster care entry rates for children age 11–15 by nearly 12% in states with a state EITC and it decreased foster care entry rates for children age 16–20 by roughly 17% in states with a state EITC, relative to states without a state EITC.     

Parameter Estimation Robust to Low-Frequency Contamination

We provide methods to robustly estimate the parameters of stationary ergodic short-memory time series models in the potential presence of additive low-frequency contamination. The types of contamination covered include level shifts (changes in mean) and monotone or smooth time trends, both of which have been shown to bias parameter estimates toward regions of persistence in a variety of contexts. The estimators presented here minimize trimmed frequency domain quasi-maximum likelihood (FDQML) objective functions without requiring specification of the low-frequency contaminating component. When proper sample size-dependent trimmings are used, the FDQML estimators are consistent and asymptotically normal, asymptotically eliminating the presence of any spurious persistence. These asymptotic results also hold in the absence of additive low-frequency contamination, enabling the practitioner to robustly estimate model parameters without prior knowledge of whether contamination is present. Popular time series models that fit into the framework of this article include autoregressive moving average (ARMA), stochastic volatility, generalized autoregressive conditional heteroscedasticity (GARCH), and autoregressive conditional heteroscedasticity (ARCH) models. We explore the finite sample properties of the trimmed FDQML estimators of the parameters of some of these models, providing practical guidance on trimming choice. Empirical estimation results suggest that a large portion of the apparent persistence in certain volatility time series may indeed be spurious. Supplementary materials for this article are available online.     

Barriers children face complaining about social work practice: A study in one English local authority

Despite the introduction of guidelines and procedures aimed at encouraging and supporting children and young people to complain about the services they receive, children in care still face barriers to doing so in practice. This paper explores what happens when children in care are dissatisfied with the services they receive. Specifically, this study examines the complaints procedure for children in care. The findings are based on semistructured interviews with children in care, social workers, senior managers, and independent reviewing officers from one English local authority. Thematic analysis of these data identified five emergent themes: (a) complaints by children in care are managed at the lowest possible level, (b) senior managers have an overly optimistic view about children in care being informed of complaint procedures and being encouraged to do so, (c) children in care are worried about complaining, which is recognized by professionals, (d) children's voices are often not heard, and (e) when issues are clearly defined, independent reviewing officers have some degree of success in resolving complaints from children in care.     

A New Framework for Manufacturing Planning and Control Systems*

This paper presents a new framework for manufacturing planning and control systems which we call iterative manufacturing planning in continuous time (IMPICT) that appears to have several advantages over the well-known material requirements planning (MRP) framework. IMPICT explicitly considers capacity constraints and total system cost (including tardiness) to determine order sizes, order release/due dates, and operation schedules in a deterministic, multi-level, finite horizon, dynamic demand environment. Continuous time scheduling variables allow setups to be carried over from one period to the next. Three new heuristics built on the IMPICT framework are presented and tested in a simulation-based, full-factorial experiment with a wide variety of problem environments. The benchmark for the experiment was materials requirements planning with operations sequencing (MRP/OS) implemented with best-case, fixed planned lead times. The experiment showed that all three heuristics were statistically better than MRP/OS. The total cost for the order merging (OM) heuristic was 25 percent better than the total cost for MRP/OS. Computational times for OM were substantially larger than for MRP/OS; however, the computational times in the experiment suggest that OM is still computationally viable for large-scale batch manufacturing environments found in industry. IMPICT is superior to standard MRP systems because it explicitly considers capacity constraints and total system costs when it creates a materials plan. IMPICT is superior to linear programming-based approaches to finite loading and scheduling found in the literature because it allows setups to be carried over from one period to another and because it is computationally viable for realistic-sized problems.     

Settlement size and fertility in the Nordic countries

While the variation in childbearing patterns across countries and between socio-economic groups within a country has been studied in detail, less is known about the differences in fertility patterns across settlements within a country. Using aggregate and individual-level register data, we examine fertility variation across settlements in Denmark, Finland, Norway, and Sweden. We observe a significant variation in fertility level by settlement size in all four of these Nordic countries - the larger the settlement, the lower the fertility. Second, the variation in fertility level has decreased over time, but significant differences in fertility between settlements of different size persist. Third, the timing of childbearing also varies across settlements - the larger the settlement, the later the peak of fertility. Fourth, our analysis of parity-specific fertility in Sweden shows that the major socio-economic characteristics of women account for only a small portion of fertility variation across settlements.     

Staying on topic,changing the topic: language and gender in the 1995 Louisiana governor's race

This study examines the gendered use of topic shifting within an electoral community of practice of ten candidates for the governor of Louisiana (three female, seven male) during two political debates. Despite gender, the candidates shared the same communicative goals of building camaraderie with voters as well as distinguishing themselves from each other within these debates. Due to these shared goals, the debate context provided a type of baseline setting to explore whether or not previously established language and gender patterns, such as male communicative goals being generally competitive and female goals being generally collaborative, hold in a public forum. Overall, topic shifting has tended to be seen as a conversational control mechanism associated with competition and male patterns of speech. However, meta-topic shifting (i.e., shifting the topic from a particular educational plan to education in general) has been seen as a collaborative strategy associated with female speech. The findings on men's speech and topic shifting did not support previous research; however, the findings on women's speech and meta-topic shifting did support previous research.     

Adolescent Substance Use Prevention Interventions Outside of Classroom Settings

Substance use prevention programs empowering individual adolescents to resist substance use through education and skills training are crucial to reducing substance use within this population. However, existing programs of this type are designed primarily for classroom use, and may not meet the needs of social workers intervening with adolescents outside classroom settings. A literature review identified six programs that have demonstrated statistically significant reductions in substance use when implemented outside the classroom. The current study describes these programs, identifies their common characteristics, and draws on additional prevention research to outline recommendations for practitioners seeking to apply the field’s most current knowledge base in community settings.     

Heart disease risk perception in college men and women

The authors sought to assess the perception of risks for coronary heart disease (CHD) in college men and women. They surveyed 470 undergraduates from 2 major 4-year institutions who completed a questionnaire that measured perceived risks for heart disease. Sixty-eight percent of the respondents rated their risks as lower or much lower than those of their peers, indicating a clear optimistic bias. The research also revealed that the students who exercised regularly rated their risk of coronary disease lower than those who did not do so. In addition, women perceived a number of risk markers to be more potent or causative factors than men did. A significant number of participants did not comprehend commonly understood causal relationships associated with heart disease risk. The findings in this preliminary investigation suggest that college men and women do not accurately perceive their risks for developing heart disease.