Workers’ Remittances and Domestic Investment in South Asia: A Comparative Econometric Inquiry

This study explores the effect of workers’ remittances on domestic investment in four selected South Asian countries: Bangladesh, India, Pakistan, and Sri Lanka, using contemporary time series estimation techniques from 1980 to 2017. The estimated results of the ARDL bounds approach to cointegration analysis have revealed that among selected South Asian countries, Pakistan has witnessed a significant negative effect in the long run. Similarly, the findings of other forms of capital flows also revealed varying effects across the countries considered. This study urges the transformation of aggregate economic behaviour from consumption to the production side, by adopting policies that would encourage domestic saving and investment activities. In this regard, among others, reduction in the interest rate and the interest rate spread would be beneficial. It urges the identification of factors that conditions varying effect of workers’ remittances and other capital inflows to mitigate negative effects into positive.     

On the bivariate weighted exponential distribution based on the generalized exponential distribution

In this paper, we introduce a bivariate weighted exponential distribution based on the generalized exponential distribution. This class of distributions generalizes the bivariate distribution with weighted exponential marginals (BWE). We derive different properties of this new distribution. It is a four-parameter distribution, and the maximum-likelihood estimator of unknown parameters cannot be obtained in explicit forms. One data set has been re-analyzed and it is observed that the proposed distribution provides better fit than the BWE distribution.     

Quality of Life of Afghan Immigrants in Tehran city

By 2015, there were more than two million Afghan immigrants, both legal and illegal, living in Iran. Although, over the recent years, there has been a growing interest among social scientists, policymakers and national and international institutes in investigation of the quality of life (QoL) of immigrants, research on the QoL of Afghan immigrants in Iran is still in its infancy. The present article aims to study the QoL of Afghan immigrants in Iran and identify its influential dimensions and factors. This study relies on a perception survey of 347 Afghan households in Tehran city. Based on the 5‐point Likert Scale, the mean of overall life satisfaction of the Afghan immigrants was found as 3.22, which shows satisfactory QoL of Afghan immigrants in Iran. The highest level of satisfaction, with a mean value of 3.96, is related to public transport access followed by satisfaction in social relations with friends, relatives and fellow immigrants living in Iran, and access to cultural centres such as the mosque, library, and cinema. The lowest level of satisfaction, with a mean value of 1.90, was seen at border services like entry and exit from Iran, followed by the Iranian government policy towards Afghan refugees, and saving abilities. In addition, the most important predictors of immigrants' QoL include indicators of health, security, work status, and income, which are closely interrelated with the main reasons for Afghans' immigration to Iran. After immigration to Iran, the QoL status of the immigrants has improved significantly, especially in the fields of security and education; nevertheless, their employment in jobs with low skill and income, along with the decrease in the economic growth of Iran over the recent years, have caused problems for the economic and financial status of the immigrants. The results and findings of this study will be useful for designing and implementing plans and policies necessary to improve QoL of Afghan immigrants in Iran.     

‘I grew a beard and my dad flipped out!’ Co-option of British Muslim parents in countering ‘extremism’ within their families in Bradford and Leeds

Research on the effects of counter-terrorism has argued that Muslims are constructed as a ‘suspect community’. However, there remains a paucity of research exploring divisive effects membership to a ‘suspect community’ has on relations within Muslim families. Drawing from interviews conducted in 2010–2011 with British Muslims living in Bradford or Leeds, I address this gap by examining how co-option of Muslim parents to counter extremism fractures relations within Muslim families. I show that internalising fears of their children being radicalised or indeed radicalising others, means parents judge young Muslims’ religious practices through a restrictive moderate/extremist binary. I advance the category of ‘internal suspect body’ which is materialised through two intersecting conditions: the suspected Muslim extremist to lookout for and young Muslims at risk of radicalisation. I delineate the reproductive effects of terrors of counter-terrorism on Muslims’ experiences as they traverse state, intra-group and individual levels.     

HIV prevention barriers in transgender women: a qualitative study

Abstract

Sexual contact is still one of the most important routes of HIV transmission. The aim of this study was identify the factors that underlie the higher prevalence of high-risk sexual behaviors in a sample of transgender women in Iran. The qualitative study used face-to-face, semi-structured, in-depth interviews in a sample of 15 transgender women. Our participants used sexual practices as a way to be approved/accepted as a woman. Using sex for this purpose led them to engage in high-risk sexual relationships. It is essential to consider these issues in consulting and education about high-risk behaviors.     

Selection of suitable prior for the Bayesian mixture of a class of lifetime distributions under type-I censored datasets

This paper explores the study on mixture of a class of probability density functions under type-I censoring scheme. In this paper, we mold a heterogeneous population by means of a two-component mixture of the class of probability density functions. The parameters of the class of mixture density functions are estimated and compared using the Bayes estimates under the squared-error and precautionary loss functions. A censored mixture dataset is simulated by probabilistic mixing for the computational purpose considering particular case of the Maxwell distribution. Closed-form expressions for the Bayes estimators along with their posterior risks are derived for censored as well as complete samples. Some stimulating comparisons and properties of the estimates are presented here. A factual dataset has also been for illustration.     

A comparison study of effectiveness and robustness of robust economic designs of T2 chart using genetic algorithm

ABSTRACT

Recently, researchers have tried to design the T² chart economically to achieve the minimum possible quality cost; however, when T² chart is designed, it is important to consider multiple scenarios. This research presents the robust economic designs of the T² chart where there is more than one scenario. An illustrative example is used to demonstrate the effect of the model parameters on the optimal designs. The genetic algorithm optimization method is employed to obtain the optimal designs. Simulation studies show that the robust economic designs of T² chart are more effective than traditional economic design in practice.     

Mathematical modelling to improve Rolled Throughput Yield in a supply chain

The outspread of supply chains competition entails inevitable application of quality improvement methods, such as Six Sigma. It is less than a decade that Six Sigma methodology has entered the supply chain scope; however, researches undertaken in this field have massively increased. Most of these research works have been done towards the application of the Six Sigma method for supply chain improvement, yet nothing has been done about suitable entity selection in supply chain for improvement. The purpose of this article is to propose a method for individual entity selection in the supply chain. Accordingly, a mixed integer non-linear programming model is presented that shows which supply chain entity should be selected, and how much to improve, in order to maximise financial benefit. This article also presents new comprehensive criteria based on the previous approach, which can measure the performance of the supply chain. Moreover, the ability of the proposed criteria is shown through a numerical example. Finally, the optimisation model was applied for selecting individual entity in tweedy supply chain in order to illustrate the capability of the model. In addition, sensitivity analysis is carried out on the parameters of the model.     

Signs of Divorce Before Marriage: The Role of Premarital Events in Iran

Premarital relationships form the basis for couples’ future relationships. There are certain factors in couples’ premarital relationships that could play a role in divorce. This study was conducted to investigate the role of premarital events (courtship, engagement, and Nikah [marriage]) in marital conflicts leading to divorce. In this qualitative study, which was carried out in Iran using the phenomenological method, 23 divorced applicants were purposefully selected, and their experiences and perceptions were examined. Data were collected using semistructured interviews. Analysis of interviews showed that little opportunity to get to know each other, neglecting the guidance of family members, disregarding signs of defect in the spouse, starting and continuing the relationship with lies and secrecy, infidelity, financial problems, and eventually ignoring the spouse’s appearance and its underestimation during the courtship period are special factors that predispose couples to divorce; however, couples, due to the special context of their relationships, ignore these factors. The findings of the study include implications for couple therapists, counselors, and couples’ families, and they can be useful in premarital education and postmarital interventions.     

Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring

Comparative lifetime experiments are of great importance when the interest is in ascertaining the relative merits of two competing products with regard to their reliability. In this article, we consider two exponential populations and when joint progressive Type-II censoring is implemented on the two samples. We then derive the moment generating functions and the exact distributions of the maximum likelihood estimators (MLEs) of the mean lifetimes of the two exponential populations under such a joint progressive Type-II censoring. We then discuss the exact lower confidence bounds, exact confidence intervals, and simultaneous confidence regions. Next, we discuss the corresponding approximate results based on the asymptotic normality of the MLEs as well as those based on the Bayesian method. All these confidence intervals and regions are then compared by means of Monte Carlo simulations with those obtained from bootstrap methods. Finally, an illustrative example is presented in order to illustrate all the methods of inference discussed here.