The International Monetary Fund,Structural Adjustment,and Women's Health: A Cross‐National Analysis of Maternal Mortality in Sub‐Saharan Africa

We conduct a cross‐national analysis to test the dependency theory hypothesis that International Monetary Fund structural adjustment adversely impacts maternal mortality in sub‐Saharan Africa. We use generalized least square random effects regression models and modified two‐step Heckman models that correct for endogeneity using data on 37 African nations with up to four time points (1990, 1995, 2000, and 2005). We find support for our hypothesis, which indicates that sub‐Saharan African nations that receive an International Monetary Fund structural adjustment loan tend to have higher levels of maternal mortality than sub‐Saharan African nations that do not receive such a loan. This finding remains stable when controlling for endogeneity related to whether or not a sub‐Saharan African nation receives a structural adjustment loan. We conclude by discussing the theoretical implications, methodological implications, policy suggestions, and possible directions for future research.     

Human Personality Behavior Based on Family Structure Using a Thematic Apperception Test

This study focuses on analyzing the relationship between the ways an individual projects a story from a picture shown to him or her with the past and the family background of the individual. We have taken the sample of 30 students heterogeneous with respect to gender and age. Each respondent was shown three pictures and wrote one story per picture; the stories were then analyzed on the basis of a thematic apperception test (TAT). A human personality has many aspects and dimensions. We will be trying to throw some light on the impact that the family structure and the bringing up of an individual has on the development of his or her personality.     

Relative performance of academic departments using DEA with sensitivity analysis

The process of liberalization and globalization of Indian economy has brought new opportunities and challenges in all areas of human endeavor including education. Educational institutions have to adopt new strategies to make best use of the opportunities and counter the challenges. One of these challenges is how to assess the performance of academic programs based on multiple criteria. Keeping this in view, this paper attempts to evaluate the performance efficiencies of 19 academic departments of IIT Roorkee (India) through data envelopment analysis (DEA) technique. The technique has been used to assess the performance of academic institutions in a number of countries like USA, UK, Australia, etc. But we are using it first time in Indian context to the best of our knowledge. Applying DEA models, we calculate technical, pure technical and scale efficiencies and identify the reference sets for inefficient departments. Input and output projections are also suggested for inefficient departments to reach the frontier. Overall performance, research performance and teaching performance are assessed separately using sensitivity analysis.     

Incest and women of color: a study of experiences and disclosure

Clinical literature on incest trauma assumes a homogeneity of experience of all incest survivors including women of color. Experiences relating to community, culture, and family need to be acknowledged as salient aspects of the experiences of women of color who are also incest survivors. Twelve participants were interviewed regarding their experiences related to disclosure and coping. Participants described value systems, community mindedness, social attitudes, negative consequences amongst other social and cultural issues as factors affecting incest disclosure. Participants described cognitive reframing, determination and separation from the perpetrator as ways of coping with incest.     

A discrete analogue of odd Weibull-G family of distributions: properties,classical and Bayesian estimation with applications to count data

In the statistical literature, several discrete distributions have been developed so far. However, in this progressive technological era, the data generated from different fields is getting complicated day by day, making it difficult to analyze this real data through the various discrete distributions available in the existing literature. In this context, we have proposed a new flexible family of discrete models named discrete odd Weibull-G (DOW-G) family. Its several impressive distributional characteristics are derived. A key feature of the proposed family is its failure rate function that can take a variety of shapes for distinct values of the unknown parameters, like decreasing, increasing, constant, J-, and bathtub-shaped. Furthermore, the presented family not only adequately captures the skewed and symmetric data sets, but it can also provide a better fit to equi-, over-, under-dispersed data. After producing the general class, two particular distributions of the DOW-G family are extensively studied. The parameters estimation of the proposed family, are explored by the method of maximum likelihood and Bayesian approach. A compact Monte Carlo simulation study is performed to assess the behavior of the estimation methods. Finally, we have explained the usefulness of the proposed family by using two different real data sets.