Comparing the Prevalence and Organizational Distinctiveness of Faith-Based and Secular Development NGOs in Canada

Faith-based development organizations (FBOs) have been argued to deliver more cost-efficient development projects than their secular counterparts through exclusive access to faith networks, which provide predictable decentralized funding, the recruitment of volunteers, low employee salaries, and less overhead and indirect costs. To date, however, comparative analyses of religious and secular organizations have relied on a case-by-case approach, limiting the generalizability of findings. This study addresses this methodological gap by analyzing Registered Charity Information Return filings and organizational websites of 844 Canadian development NGOs to determine the proportion of FBOs and their organizational distinctiveness. The results show that FBOs comprise 40% of the Canadian NGO sector in terms of the number of organizations and their expenditures in developing countries, and are significantly less reliant on federal funding (p?<?.1), pay employees lower salaries (p?<?.01), but do not exhibit a significant difference in their expenditures on overhead and indirect costs. Thus, Canadian FBOs participation in faith networks shapes their organizational modus operandi but does not result in a low overhead alternative to secular NGOs.

     

Volume 30

Theory and Society -     

Cognitive-behavioral-expressive interventions with aggressive and resistant youths.

Research into the nature of aggressive behavior in youths has demonstrated that these youths are often the victims of abuse, exhibit aggressive behavior in early childhood, and remain aggressive into young adulthood. The treatment approach described in this article is a modification of Monahan's [1981] model of the prediction of violent behavior and the anger-management approach of Novaco [1985], and integrates the developmental models of Piaget [1963] and Erikson [1959]. The program is a combination of cognitive, behavioral, and expressive therapies and is targeted to the reduction of dysfunctional cognitive, affective, behavioral, and problem-solving patterns of aggressive youths. As referrals of such aggressive clients are often involuntary, interventions with unwilling and resistant clients are also presented.     

HEAVY-TAILED-DISTRIBUTED THRESHOLD STOCHASTIC VOLATILITY MODELS IN FINANCIAL TIME SERIES

To capture mean and variance asymmetries and time‐varying volatility in financial time series, we generalize the threshold stochastic volatility (THSV) model and incorporate a heavy‐tailed error distribution. Unlike existing stochastic volatility models, this model simultaneously accounts for uncertainty in the unobserved threshold value and in the time‐delay parameter. Self‐exciting and exogenous threshold variables are considered to investigate the impact of a number of market news variables on volatility changes. Adopting a Bayesian approach, we use Markov chain Monte Carlo methods to estimate all unknown parameters and latent variables. A simulation experiment demonstrates good estimation performance for reasonable sample sizes. In a study of two international financial market indices, we consider two variants of the generalized THSV model, with US market news as the threshold variable. Finally, we compare models using Bayesian forecasting in a value‐at‐risk (VaR) study. The results show that our proposed model can generate more accurate VaR forecasts than can standard models.