Small orthogonal main effect plans with four factors

In this paper we study orthogonal main effect plans with four factors, A table of such designs, where each factor has at most 10 levels, and there are at most 40 runs, is generated. We determine the spectrum of the degrees of freedom of pure error for these designs.     

An introduction to econometric applications of empirical process theory for dependent random variables

This paper discusses some uses in econometrics of empirical process theory for dependent rendom variables. Examples considered include non-standard parametric hypotheses tests and semiparametric estimation. The application of bracketing functional limit results is discussed in some detail     

The additional cost of disability: a new measure and its application to sensory impairment

This article introduces a method using consensual budget standards to estimate additional costs incurred by households that include disabled people with specified impairments. The article reports on a first application of this to UK single adults with sensory impairments. Using the Minimum Income Standard method, the research aims to identify the cost of disability by working with groups of disabled people to agree what additions to minimum budgets for non-disabled people are required for someone with a given impairment. This provides a more tangible account of the cost of disability than economic analysis of living standards achieved by disabled and non-disabled people, and adds to surveys of actual spending on additional items, which do not account for unmet need. The research on vision and hearing impairment yields new insights into costs arising from the way disabled people live their everyday lives, not just from spending on adaptations and equipment.     

Moments of order statistics from a non-overlapping mixture model with applications to truncated laplace distribution

We employ two different approaches to derive single and product moments of order statistics from a truncated Laplace distribution. A direct evaluation method establishes recurrence relations whereas the more general non-overlapping mixture model incorporates the truncated Laplace distribution as a special case. The results are thereafter applied to estimate location and scale parameters of such distributions.     

Computation of the Generalized F Distribution

Exact expressions for the cumulative distribution function of a random variable of the form ( α ₁ X ₁+ α ₂ X ₂)/ Y are given where X ₁, X ₂ and Y are independent chi-squared random variables. The expressions are applied to the detection of joint outliers and Hotelling's mis-specified T ² distribution.     

Not Threat,But Threatening: Potential Causes and Consequences of Gay Innumeracy

Existing literature on numeracy suggests that people are likely to perceive outgroups as larger if the group is perceived as threatening. However, some studies also suggest that numeracy is a function of wishful thinking or even a lack of political knowledge. We engage the literature on numeracy of the gay and lesbian population by employing data from 1977 and 2013 surveys of American adults. We examine the factors that are associated with estimating the gay population. Next we explore how innumeracy may shape attitudes about homosexuality and gay rights. Our findings suggest that estimates of the gay population are partly a function of knowledge, and perhaps wishful thinking, but not threat. However, our analysis also reveals that higher estimates of the gay population are associated with less support for gay civil rights in the current era and were not a factor in the past.     

Subject‐level matching for imbalance in cluster randomized trials with a small number of clusters

In a cluster randomized controlled trial (RCT), the number of randomized units is typically considerably smaller than in trials where the unit of randomization is the patient. If the number of randomized clusters is small, there is a reasonable chance of baseline imbalance between the experimental and control groups. This imbalance threatens the validity of inferences regarding post‐treatment intervention effects unless an appropriate statistical adjustment is used. Here, we consider application of the propensity score adjustment for cluster RCTs. For the purpose of illustration, we apply the propensity adjustment to a cluster RCT that evaluated an intervention to reduce suicidal ideation and depression. This approach to adjusting imbalance had considerable bearing on the interpretation of results. A simulation study demonstrates that the propensity adjustment reduced well over 90% of the bias seen in unadjusted models for the specifications examined. Copyright © 2013 John Wiley & Sons, Ltd.     

THE DYNAMIC EFFECTS OF U.S. FOOD AID

Although food aid may have important medium- to long-term effects, there is a glaring absence of empirical research on food aid dynamics. This paper applies vector autoregression methods to data from 18 countries over the period 1961–95. We find evidence that food aid has a pronounced J-curve effect on recipient country per capita commercial food imports but only negligible negative effects on recipient country per capita food production. The commercial export gains are primarily enjoyed, however, by the donors' competitors, revealing heretofore unrecognized positive pecuniary trade externalities associated with foreign assistance. ( JEL F14, O13, Q17, Q18)