Gendered Leadership: The Effects of Female Development Agency Leaders on Foreign Aid Spending

This article examines the effects of gender on the leadership of bilateral development aid agencies, particularly their official development assistance (ODA) allocations toward gender‐related programming. Drawing on earlier research on gendered leadership, the article tests the hypothesis that female director generals (DGs) and ministers responsible for aid agencies will allocate more ODA than their male counterparts toward gender programming. This existing literature on gendered leadership is divided: some scholars argue that women and men have distinct leadership styles on account of their gender, while others argue that the only distinguishing factor is the institutional context in which they lead. Drawing on data collected on aid flows and agency leadership within the major Western aid donors of the Organisation for Economic Co‐operation and Development (OECD) Development Assistance Committee (DAC) over the period from 1995 through 2009, we use pooled time series analysis to examine the effects of gendered leadership on aid allocation. Our analysis reveals a tendency for female DGs and ministers to focus ODA on gender‐mainstreaming programs, while male DGs focus ODA on gender‐focused programs. We argue that these divergent priorities reflect the women's desire to reform gendered power structures within their respective aid agencies, and the men's desire to maintain existing gender power structures from which they benefit.     

Education,Skills, and Wage Gaps in Canada and the United States

We analyse data from the Programme for the International Assessment of Adult Competencies to reveal that immigrants in Canada and the United States make over $200 less per month than native‐born workers. In the United States, immigrants disproportionately work in low‐wage occupations, leading to large mean national differences between immigrants and native workers. The wage differential disappears after accounting for education and cognitive skills, indicating policies must focus on reducing education and skill gaps in the United States. In Canada, an immigrant wage gap persists in nearly all occupational fields, suggesting that the better skilled and educated immigrants in Canada are not receiving the same wage premium as native workers. We close with implications for policy and future research.     

Perception of Climate Risk among Rural Farmers in Vietnam: Consistency within Households and with the Empirical Record

Rural farmers in Vietnamese communes perceive climate risk and potential impacts on livelihood within a complex context that may influence individual and household decisions. In a primary survey of 1,145 residents of the Thach Ha district of Ha Tinh province, we gathered data regarding perception about stability in climate, potential risks to livelihood, demographic characteristics, orientation toward risk, and interest in expanding economic activity. Temporal analysis of meteorological and economic indicator data forms an empirical basis for comparison with human perception. We ask the basic question: Are rural farmers’ perceptions of climate consistent with the historical record and reproducible within households? We find that respondents do perceive climate anomalies, with some anchoring on recent extreme events as revealed by climate observational data, and further that spouses disproportionately share perceptions relative to randomly simulated pairings. To put climate‐related risk perception in a larger context, we examine patterns across a range of risks to livelihood faced by farmers (livestock disease, pests, markets, health), using dimension reduction techniques. We find that our respondents distinguish among potential causes of low economic productivity, with substantial emphasis on climate‐related impacts. They do not express uniform concern across risks, but rather average patterns reveal common modes and distinguish climate concern. Still, among those expressing concern about climate‐related risks to livelihood we do not find an association with expressed intention to pursue changes in economic activity as a risk management response.     

Supporting the Posts in Development Discourse: Under‐development,Over‐development,Post‐development

This article seeks to introduce scholars outside of development studies to post‐development thought, and to restate its relevance and value to those working within the development field. It begins with an overview of post‐development thought and its critique of the post‐World War Two development project. Following this, specific critiques levelled at post‐development thought and various responses to these are considered. In the last section, the possibility or desirability of raising the living standards of Third World people to a level comparable to those of the First World through economically based development strategies is questioned. The article concludes by drawing attention to First World overdevelopment and the continued value of post‐development thinking in unsettling the development trajectory for either the First or Third World.     

Improved cross-entropy method for estimation

The cross-entropy (CE) method is an adaptive importance sampling procedure that has been successfully applied to a diverse range of complicated simulation problems. However, recent research has shown that in some high-dimensional settings, the likelihood ratio degeneracy problem becomes severe and the importance sampling estimator obtained from the CE algorithm becomes unreliable. We consider a variation of the CE method whose performance does not deteriorate as the dimension of the problem increases. We then illustrate the algorithm via a high-dimensional estimation problem in risk management.     

Unconditional analogues of Cochran–Mantel–Haenszel tests

The Cochran–Mantel–Haenszel tests are a suite of tests that are usually defined as conditional tests, tests that assume all marginal totals are known before sighting the data. Here unconditional analogues of these tests are defined for the more usual situation when the marginal totals are not known before sighting the data.     

A general class of test statistics for Van Valen's Red Queen hypothesis

Van Valen's Red Queen hypothesis states that within a homogeneous taxonomic group the age is statistically independent of the rate of extinction. The case of the Red Queen hypothesis being addressed here is when the homogeneous taxonomic group is a group of similar species. Since Van Valen's work, various statistical approaches have been used to address the relationship between taxon age and the rate of extinction. We propose a general class of test statistics that can be used to test for the effect of age on the rate of extinction. These test statistics allow for a varying background rate of extinction and attempt to remove the effects of other covariates when assessing the effect of age on extinction. No model is assumed for the covariate effects. Instead we control for covariate effects by pairing or grouping together similar species. Simulations are used to compare the power of the statistics. We apply the test statistics to data on Foram extinctions and find that age has a positive effect on the rate of extinction. A derivation of the null distribution of one of the test statistics is provided in the supplementary material.