Religious Conservatism and Women’s Market Behavior Following Marriage and Childbirth

This study explores the effect of religious conservatism on the labor force behavior of women who marry or add a new child to their household, using the 1988 – 1993 National Survey of Families and Households (N = 3,494). We model changes in labor supply, occupation, and wages as a function of either conservative denominational membership or conservative religious belief, holding other economic and demographic characteristics constant. Among Whites, conservative denomination did decrease labor supply following marriage or a marital birth, whereas conservative religious beliefs had larger influences on occupation choice and wages. Among Blacks, conservative denomination increased labor supply following marital births, but neither denomination nor belief affected occupation or wage growth. Results show the significance of religious ideology for understanding continuing gender inequality.     

Background and Adjustment Capacity of Sexually Abused Girls and their Perceptions of Intervention

The main objective of the study was to understand the adjustment capacity of sexually abused girls in the age group 13–18 years in Kolkata, India. The study also attempted to understand how the sexually abused girls perceived the psychological interventions, i.e. individual and group counselling, which they had received. A group of 120 sexually abused Indian girls and 120 non‐sexually abused Indian schoolgirls residing in Kolkata Metropolitan City and its suburbs were studied. Findings revealed that the majority of the sexually abused girls came from nuclear and poor families (93.3%) with a low educational background. More than two‐thirds (73.3%) were lured with promises of job prospects, marriage and a better life and then abused sexually. Emotional and social adjustment capacity of sexually abused and non‐sexually abused girls differed significantly (p < 0.05). Overall, the perception of more than two‐thirds of the sexually abused girls of the rehabilitation homes they lived in was found to be positive. Further, the girls who reported they gained considerably from counselling had a better adjustment capacity compared to those who reported they did not benefit from counselling. Copyright © 2011 John Wiley & Sons, Ltd.     

On D-optimal robust second order slope-rotatable designs

Das and Park (2006) introduced slope-rotatable designs overall directions for correlated observations which is known as A-optimal robust slope-rotatable designs. This article focuses D-optimal slope-rotatable designs for second-order response surface model with correlated observations. It has been established that robust second-order rotatable designs are also D-optimal robust slope-rotatable designs. A class of D-optimal robust second-order slope-rotatable designs has been derived for special correlation structures of errors.     

Nonparametric Phase-II monitoring for detecting monotone trend based on inverse sampling

Recently, Mukherjee and Bandyopadhyay (J Stat Plan Inference, 2011, doi:10.1016/j.jspi.2011.02.017) introduced some partially sequential tests for detecting liner trend among the incoming series of observations when a training sample is available a-priori. Their work is very useful in econometric or environmental monitoring under certain situations. The present work is intended for generalization of their tests for any monotone trend. We develop two nonparametric tests for the identity of some unknown univariate continuous distribution functions against monotone or unidirectional trend in location. One of these two tests is based on usual ranks and the other is based on sequential ranks. These are typical nonparametric tests for monitoring structural changes. Performance of the two tests are compared using asymptotic studies as well as through some numerical results based on Monte-Carlo simulations. An illustration is offered using a real data on monthly production of certain beverage.     

On a Multiple Three-Decision Problem for Comparing Several Treatments with the Best Control

In this article, a multiple three-decision procedure is proposed to classify p (≥2) treatments as better or worse than the best of q (≥2) control treatments in one way layout. Critical constants required for the implementation of the proposed procedure are tabulated for some pre-specified values of probability of no misclassification. Power function of the proposed procedure is defined and a common sample size necessary to guarantee various pre-specified power levels are tabulated under two optimal allocation schemes. Finally the implementation of the proposed methodology is demonstrated through numerical examples based on real life data.     

A response-adaptive design in crossover trial

In the present work, whenever the response variables are binary, we frame an adaptive allocation rule for a two-treatment two-period crossover design in the presence of possible carry-over effects. The proposed rule is a combination of the play-the-winner and randomized play-the-winner rules. We study various properties of the proposed rule through asymptotics and simulations. Some related inferential problems are also considered. The proposed procedure is compared with some possible competitor.     

Multiple comparisons with a control for exponential location parameters under heteroscedasticity

In this paper, a new design-oriented two-stage two-sided simultaneous confidence intervals, for comparing several exponential populations with control population in terms of location parameters under heteroscedasticity, are proposed. If there is a prior information that the location parameter of k exponential populations are not less than the location parameter of control population, one-sided simultaneous confidence intervals provide more inferential sensitivity than two-sided simultaneous confidence intervals. But the two-sided simultaneous confidence intervals have advantages over the one-sided simultaneous confidence intervals as they provide both lower and upper bounds for the parameters of interest. The proposed design-oriented two-stage two-sided simultaneous confidence intervals provide the benefits of both the two-stage one-sided and two-sided simultaneous confidence intervals. When the additional sample at the second stage may not be available due to the experimental budget shortage or other factors in an experiment, one-stage two-sided confidence intervals are proposed, which combine the advantages of one-stage one-sided and two-sided simultaneous confidence intervals. The critical constants are obtained using the techniques given in Lam [9,10]. These critical constant are compared with the critical constants obtained by Bonferroni inequality techniques and found that critical constant obtained by Lam [9,10] are less conservative than critical constants computed from the Bonferroni inequality technique. Implementation of the proposed simultaneous confidence intervals is demonstrated by a numerical example.     

Discrepancy in regression estimates between log-normal and gamma: some case studies

In regression models with multiplicative error, estimation is often based on either the log-normal or the gamma model. It is well known that the gamma model with constant coefficient of variation and the log-normal model with constant variance give almost the same analysis. This article focuses on the discrepancies of the regression estimates between the two models based on real examples. It identifies that even though the variance or the coefficient of variation remains constant, but regression estimates may be different between the two models. It also identifies that for the same positive data set, the variance is constant under the log-normal model but non-constant under the gamma model. For this data set, the regression estimates are completely different between the two models. In the process, it explains the causes of discrepancies between the two models.     

Socio-Cultural Dispositions and Wellbeing of the Women Left Behind: A Case of Migrant Households in Nepal

The concept of wellbeing is gaining popularity in the study of quality of life and cultural significance of living. The paper aims to contribute to our understanding of objective and subjective wellbeing by exploring the perceptions of women left behind by out-migrating husbands on their quality of life in a transnational social field. The paper uses both qualitative and quantitative research methods. Its primary focus is on the life stories of the four women left behind by their migrant husbands, complementing by quantitative data obtained from a survey among 277 households. Taking an example from Nepal's eastern terai, the paper shows that additional income from remittances has increased the objective wellbeing of the women left behind, but it may not have increased their subjective wellbeing. Hence, it is concluded that improved objective wellbeing of a woman does not necessarily translate into her (improved) subjective wellbeing. The subjective experiences are rather complex, multi-faceted and context specific depending on the family situation, socio-cultural disposition and prior economic situation of the actors involved.