Analysis of incomplete durations with application to contraceptive use

Models for analysing incomplete durations obtained from cross-sectional surveys are presented. The aim of the paper is to develop a framework for analysing the incomplete duration of episodes in progress at the time of the survey by formulating generalized linear models and fitting and assessing them by using standard statistical packages. The maximum quasi-likelihood method is used for model fitting. The choice of the distribution and the diagnostic procedures are discussed. Simulated data from two distributions (the Weibull and log-logistic distributions) are used to evaluate the methodology developed and to assess model misspecifications. A data set on the current use of the contraceptive pill from a cross-sectional survey in Egypt is analysed.     

Public sector delivery of waste management services: cases from the Indian Sub-Continent

This paper discusses the role of public sector institutions in the delivery of urban services, with a particular focus on waste management in the Indian Sub-Continent. Public sector institutions are the major stakeholders in the delivery of urban sevices. They hold the major responsibilities, funds and employ a large number of staff. The public sector institutions are also exposed to political influence and the institutional changes are often politically or donors driven. However, since new institutions such as non-government organisations and private sector are taking important roles in the actual delivery of services, there is a greater need to understand the existing linkages to promote integration. The informal sector also provides services to a large number of population. In order to promote efficient and effective delivery of urban services, it is important to work on the integrated approaches involving key stakeholders.     

A part of,yet apart from the team: Substantive membership and belonging of trans and nonbinary athletes

Increasingly, bills and policies prohibit the participation of trans women in competitive sport. The current sociopolitical moment begs the following question: how do interpersonal interactional moments function alongside formal policies and rules to shape trans athletes’ experiences of belonging in sport? Although formal institutional rules govern trans athletes’ ability to compete in sport, informal social sanctioning also denies these athletes equitable, or even de facto, membership in sport. I draw upon two case studies to explore trans athletes’ experiences of membership in elite “women's” sport. I apply Evelyn Nakano Glenn's work on citizenship to consider how trans athletes’ experiences of belonging are influenced by both formal rules imposed by organizations as well as informal social interactions with members of their sporting communities. Inclusion is not synonymous with membership. Trans athletes render visible the ways in which this system functions to contain the diversity of humanity's gender expression.     

A Study of the Relationship Between Innovation and Performance Among NPOs in Pakistan

Abstract

Innovation has become a core driver for the success and survival of organizations regardless of their size and nature. A plethora of literature has discussed the importance of innovation in profit-based organizations, while nonprofit organizations (NPOs) have generally been ignored in research. This study examines the influence of the sub-dimensions of innovation on the performance of NPOs. Data were collected through structured questionnaires using a sample size of 309 NPOs operating in the emerging market Pakistan. The hypotheses were tested through structural equation modeling (SEM) in AMOS.21. The results indicate that process innovation and organization innovation have significant positive influence on the performance of NPOs, while product innovation and marketing innovation have insignificant influence on the performance of NPOs. NPOs are advised to give enough attention to process and organization innovation in order to boost their performance. Future researchers are encouraged to test the model in other environmental settings. Implications for practice were discussed.     

Qualitative data analysis with hypertext: A case of New York City crack dealers

Ethnography has become a useful method in procuring sensitive information from the ‘hidden population’ who may not be accessed with quantitative survey techniques. Researchers are generating huge amounts of qualitative/textual data. Qualitative data require careful planning in storage, coding, retrieval, and analysis. Personal computers have solved data management problems, but data analysis remains problematic. The paper describes some qualitative data management and analytic problems faced by a team of ethnographers engaged in a longitudinal epidemiological study of cocaine and crack distribution/abuse in New York City. Ethnographic data was collected through multi-session open-ended interviews with more than one hundred cocaine/crack dealers and extensive field-notes were kept. Compared to other programs, a hypertext software — Folio Views — was more useful in solving (a) data management and (b) analytical problems. Authors used this software to handle more than twenty-five thousand pages of texts; search and sort the database by any words or codes; and retrieve relevant textual materials needed to complete comparative and thematic analysis. Authors analyzed the data from outsiders’ point of view (etic) as well as from the viewpoint of the subject populations (emic).     

Further theoretical results and a comparison between two methods for approximating eigenvalues of perturbed covariance matrices

Covariance matrices, or in general matrices of sums of squares and cross-products, are used as input in many multivariate analyses techniques. The eigenvalues of these matrices play an important role in the statistical analysis of data including estimation and hypotheses testing. It has been recognized that one or few observations can exert an undue influence on the eigenvalues of a covariance matrix. The relationship between the eigenvalues of the covariance matrix computed from all data and the eigenvalues of the perturbed covariance matrix (a covariance matrix computed after a small subset of the observations has been deleted) cannot in general be written in closed-form. Two methods for approximating the eigenvalues of a perturbed covariance matrix have been suggested by Hadi (1988) and Wang and Nyquist (1991) for the case of a perturbation by a single observation. In this paper we improve on these two methods and give some additional theoretical results that may give further insight into the problem. We also compare the two improved approximations in terms of their accuracies.     

Effects of Workers' Remittances and its Volatility on Economic Growth in South Asia

This study investigates the effect of workers' remittances and its volatility on economic growth of five South Asian countries by employing long time series data from 1975 to 2009. Cointegration results confirm a significant positive long run relationship between remittances and economic growth in India, Bangladesh, Sri Lanka and Nepal, but a significant negative relationship in Pakistan. Conversely, the volatility of workers' remittances has a negative and significant effect on economic growth in Pakistan, Indian, Bangladesh and Sri Lanka, but a negative but insignificant impact in Nepal. All sensitivity analyses confirm that the results are robust. A less volatile inflow of workers' remittances is growth‐enhancing for all countries. It is suggested that policy makers should make policies to reduce the transaction cost to welcome remittances into the region. Furthermore, countries like Pakistan should make the policies to discourage voluntary unemployment.

Policy Implications

• This study show the positive effect of remittances on economic growth in India, Bangladesh, Sri‐Lanka and Nepal. These countries should create friendly policies to reduce the transaction cost to ensure the continuous inflows of workers' remittances.
• Results indicate a negative effect of remittances on economic growth in Pakistan. Remittances are considered an uninterrupted source of income, which may increase voluntary unemployment, leading to decreased economic growth. The government should make policies to discourage this voluntary unemployment.
• Policymakers should create effective systems to ensure this inflow comes through formal financial channels for better control.

     

‘I Became a Mom’: Identity Changes in Mothers Receiving Public Assistance

ABSTRACT

This phenomenological study used individual, semistructured, face-to-face interviews to explore motherhood experiences among 15 women receiving public assistance in a large urban area on the West coast. A primary phenomenon observed was that motherhood was described as an experience of identity change, with resulting emotional, behavioral, and sense-of-self changes. Within this broad theme, two categories emerged: the experience and process of change, and consequences of change. It was concluded that motherhood may serve as an important catalyst for change in some women and that the context of poverty is essential for understanding the motherhood experience. These results suggest that interventions aimed at leveraging emerging motherhood identities may be beneficial in setting women on the path out of poverty, drug addiction, and incarceration. Future research should examine the consequences of maternal change within the specific context of the stages of change documented in the recovery process from drug addiction.     

On a class of shrinkage estimators of vector of regression coefficients the

This paper studies a class of shrinkage estimators of the vector of regression coefficients. The small disturbance approximations for the bias and the mean squared error matrix of the estimator are derived. In the sense of mean squared error, these estimators dominate the least squares estimator and the generalized Stein estimator developed by Hosmane (1988).     

Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis

Intermittent demand is characterized by occasional demand arrivals interspersed by time intervals during which no demand occurs. These demand patterns pose considerable difficulties in terms of forecasting and stock control due to their compound nature, which implies variability both in terms of demand arrivals and demand sizes. An intuitively appealing strategy to deal with such patterns from a forecasting and stock control perspective is to aggregate demand in lower-frequency ‘time buckets’, thereby reducing the presence of zero observations. In this paper, we investigate the impact of forecasting aggregation on the stock control performance of intermittent demand patterns. The benefit of the forecasting aggregation approach is empirically assessed by means of analysis on a large demand dataset from the Royal Air Force (UK). The results show that the aggregation forecasting approach results in higher achieved service levels as compared to the classical forecasting approach. Moreover, when the combined service-cost performance is considered, the results also show that the former approach is more efficient than the latter, especially for high target service levels.