The Relationship between Economic Development and Social Welfare: A New Adjusted GDP Measure of Welfare

Existing literature focuses on the issue ofpreparation of social welfare measurements onthe basis of an unadjusted Gross DomesticProduct (GDP). This paper extends this methodto incorporate cost-benefit analysis ofeconomic growth in a growing economy incalculating the adjusted GDP, termed as thecost-benefit (CB)-adjusted GDP. This approachis empirically applied to Thailand. There arestark differences between GDP per capita and CBadjusted GDP per capita rates for this period.This paper concludes that GDP can be used as anindicator of social welfare if the GDPestimates are undertaken within a cost-benefitanalysis framework.     

Normal Deviation and Poisson Approximation of a Security Market by the Geometric Markov Renewal Processes

We consider the geometric Markov renewal processes (GMRP) as a model for a security market. Normal deviations of the geometric Markov renewal processes for ergodic averaging and double averaging schemes are derived. We introduce Poisson averaging scheme for the geometric Markov renewal processes. European call option pricing formulas for GMRP are presented.     

Income vulnerability of rural households in Bangladesh: a comparison between Bayesian and classical methods

The geographical location and the monsoon climate render Bangladesh highly vulnerable to natural hazards, deteriorating the country's socio-economic stability. This study is based on 500 randomly chosen rural households from the Household Income and Expenditure Survey [Bangladesh Bureau of Statistics, Planning Division, Ministry of Planning, Government of the People's Republic of Bangladesh, Dhaka, 2006]. The objectives are to estimate the income vulnerability of rural households and to check whether the Bayesian approaches (natural conjugate prior and non-informative prior estimates) have any superiority over the classical (feasible generalized least square (FGLS)) method. The poverty level, measured from the data, is 24%; whereas the vulnerability estimates, using FGLS, natural conjugate prior and non-informative prior are 31%, 69% and 82%, respectively. Vulnerability estimates by the Bayesian natural conjugate prior approach is found to have greater efficiency compared with FGLS and non-informative prior approaches.     

Child Rights Practice among the Indigenous Communities in Bangladesh

The objective of this article was to explore the practice of child rights among the indigenous communities of Bangladesh. We used a mixed method approach to collect data from four ethnic communities in the Bandarban District of the Chittagong Division in Bangladesh. We questioned children, parents, community members, local leaders, and service providers of those communities on a number of child rights issues, for example, child education, child labor, child recreation and culture, parents' guidance to children for capacity development, and access to child rights at home and in the community according to Convention on the Rights of the Child treaty. The results showed that while the community was aware of child rights, financial vulnerability and a lack of social support meant that these rights could not be upheld in practice. The paper urges improvement of social support, including income generation activities for indigenous communities.     

Implementation of Child Rights in the Children's Homes in Malaysia

The objective of this study was to examine the implementation of the Convention on the Rights of the Child (CRC) in the Children Homes under the Social Welfare Department (SWD) in Malaysia. Data was collected from 402 registered children who were staying in six Children Homes across the country. This study employed self‐report surveys where multiple data collection methods, such as face‐to‐face structured interviews, key informant interviews (KIIs), and documentation survey, were used. The study found that the SWD failed to comply with most of the commitments of CRC in Children Homes at its implementation level, and it is still needs based. The findings of this study present important guidelines for government and policy makers in improving child welfare services in the Children Homes in Malaysia.     

Hunger Reduction in China: An Analysis of Contextual Factors

In recent times, China has significantly reduced hunger in its populace. The main objective of this paper was to analyze some of the contextual socioeconomic factors contributing to the reduction of hunger in China, using Qualitative Interpretative Meta‐Synthesis (QIMS). The results revealed that China has followed a broad‐based and multispectral approach to reduce hunger. Factors, such as poverty alleviation; social safety nets for disadvantaged villagers; agricultural development and land reforms; regional development and equity in development activities; infrastructural development; and political‐economic reform and sustainable growth were influential in reducing hunger in China. Poverty is attributed as one of the principal contributors and is interlinked with many other dimensions. The findings of this paper are a useful guide to the Chinese government, policy‐makers, international organizations, and development practitioners.     

Prediction of disease status: A regressive model approach for repeated measures

In this paper, regressive models are proposed for modeling a sequence of transitions in longitudinal data. These models are employed to predict the future status of the outcome variable of the individuals on the basis of their underlying background characteristics or risk factors. The estimation of parameters and also estimates of conditional and unconditional probabilities are shown for repeated measures. The goodness of fit tests are extended in this paper on the basis of the deviance and the Hosmer–Lemeshow procedures and generalized to repeated measures. In addition, to measure the suitability of the proposed models for predicting the disease status, we have extended the ROC curve approach to repeated measures. The procedure is shown for the conditional models for any order as well as for the unconditional model, to predict the outcome at the end of the study. The test procedures are also suggested. For testing the differences between areas under the ROC curves in subsequent follow-ups, two different test procedures are employed, one of which is based on permutation test. In this paper, an unconditional model is proposed on the basis of conditional models for the disease progression of depression among the elderly population in the USA on the basis of the Health and Retirement Survey data collected longitudinally. The illustration shows that the disease progression observed conditionally can be employed to predict the outcome and the role of selected variables and the previous outcomes can be utilized for predictive purposes. The results show that the percentage of correct predictions of a disease is quite high and the measures of sensitivity and specificity are also reasonably impressive. The extended measures of area under the ROC curve show that the models provide a reasonably good fit in terms of predicting the disease status during a long period of time. This procedure will have extensive applications in the field of longitudinal data analysis where the objective is to obtain estimates of unconditional probabilities on the basis of series of conditional transitional models.     

The Perceptions of Women’s Roles and Progress: A Study of Malay Women

This study examines the general perceptions of women towards their roles, their interpretation of progress, as well as the facilitating factors and barriers to their progress. Questionnaires were distributed to 1,000 Malay women in Malaysia from rural and urban areas, from various age and income groups. Interviews were also carried out on the selected sample. Using both quantitative and qualitative methods of analyses, the results showed that women were perceived to play a strong, influential, and supportive role in their families. The results also showed how women perceive progress. These findings are discussed in relation to culture, socialization, values and norms of the Malay society.     

Reflection note: confessions of a Muslim researcher – considering identity in research

ABSTRACT

This research note explores some of the contentions that have emerged from Muslim-on-Muslim research and how this can implicate the researcher more personally. Speaking in the context of methodological concerns arising from qualitative research, the paper consider the following aspects: inappropriate access of participants, over-representation of own experiences, and questioning fundamental parts of your identity. Whilst certain experiences can shake the foundations of being a researcher and even sense of self, these should ultimately be welcomed. It is concluded that, in taking the time to reconcile from such tensions emerging from our multiple identities, it can allow for becoming a more rigorous and reflexive researcher.