Human Capital Attainment and Gender Empowerment: The Kerala Paradox*

Objectives. The State of Kerala in southwestern India shows the highest gender development index in the country. Despite having the highest literacy rate and educational achievements of women, the suicide rate among females is very high, and domestic violence committed against women is increasing every year in Kerala. This article attempts to analyze the demographic, social, and cultural changes that are occurring in order to understand this apparent paradox of high human capital attainment and high violence and suicides experienced by women in Kerala. Methods. The study uses data from the Census of India (1991, 2001) , National Crime Records Bureau (1998–2000), and Reproductive and Child Health ( District Level House Hold Survey—2001 ) to analyze trends in crime, violence, and suicide rates, and demographic profiles of the different districts in Kerala. Results. High educational attainment has fostered new aspirations and attitudes among women in Kerala. Yet, societal and cultural norms still dictate that women should be subservient to men both at home and in the labor market. This imbalance often contributes to family violence and suicides in Kerala. Thus, beneath the veil of development lie some disturbing social, cultural, and economic issues that may be contributing to high rates of suicide and family violence in Kerala. Conclusions. This study demonstrates that high educational attainment alone will not promote gender empowerment unless the social and cultural fabric of a country or state ensures equality of women in all areas of life.     

A qualitative study on the pros and cons of ethnically matching culturally and linguistically diverse (CALD) client families and child protection caseworkers

A review of the literature indicated that empirical research into the advantages and disadvantages of ethnically matching child protection caseworkers and culturally and linguistically diverse (CALD) client families is not extensive. The main aim of this study was to address this gap. Qualitative interviews were conducted with 29 CALD client families and 17 child protection caseworkers (as part of a larger study). It was found that if CALD families fear a breach of confidentiality (because of cultural reasons to protect the family's privacy and name), and this fear exceeds the two main benefits of ethnic matching – namely, that it helps overcome language barriers and provides (cultural) sensitivity – then they are likely to prefer a non-matched caseworker. This may be a challenge in child protection practice if the pool of culturally competent caseworkers is small. Another challenge identified was when CALD families preferred an ethnic match but was seen by case managers as a risk to the accurate assessment of a child's wellbeing because the caseworker was over-identifying with the client family. Thus, the provision of a culturally sensitive service can be at odds with the need to protect children from harm. This issue is seen as best addressed on a case by case basis. This study is significant because it has shown that ‘over-identification’ is an important work practice issue in this matter. It has also used empirical evidence to inform best practice principles regarding ethnic matching.     

A new count model generated from mixed Poisson transmuted exponential family with an application to health care data

In this article, a new mixed Poisson distribution is introduced. This new distribution is obtained by utilizing mixing process, with Poisson distribution as mixed distribution and Transmuted Exponential as mixing distribution. Distributional properties like unimodality, moments, over-dispersion, infinite divisibility are studied. Three methods viz. Method of moment, Method of moment and proportion, and Maximum-likelihood method are used for parameter estimation. Further, an actuarial application in context of aggregate claim distribution is presented. Finally, to show the applicability and superiority of proposed model, we discuss count data and count regression modeling and compare with some well established models.     

A Study of Social Workers' Job Satisfaction as Based on an Optimal Model of Care for the Terminally Ill

ABSTRACT

To address the need for empirical evidence on how culture is and should be addressed in child protection work in Australia to ensure equity in service delivery, this study reviewed 120 case files of children from ethnic-minority, Aboriginal, and Anglo backgrounds and conducted 46 qualitative interviews with ethnic-minority client families and the caseworkers who service them. Overall, the results indicated that the issue of culture for ethnic-minority families receives less consideration than it does for Aboriginal families and more than it does for Anglo families, indicating that cross-cultural parity is yet to be achieved. To ensure equity in service delivery, it is important that culture is neither overlooked nor used to essentialize the needs and experiences of ethnic-minority families; balancing the amount of attention that culture receives in child protection work may help “normalize the novel”—that is, reduce the use of cultural stereotypes without reducing the significance of cultural factors in child protection work with culturally nonmainstream families. Mandatory consultation with “multicultural” caseworkers may help get the balance right and warrants future research.     

Recommendations for Improving Cultural Competency When Working with Ethnic Minority Families in Child Protection Systems in Australia

Australia’s research and knowledge base on cultural competency has been slow to develop. To help address this gap, the New South Wales (NSW) Department of Family and Community Services (FaCS) funded a large scale study in this area, which included a detailed literature review. The paper reports on key findings from that review including that collectivist values are at odds with ‘child-centred’ philosophies of child protection; there is an inherent tension between the right to equal protection from harm and the right for respect in cultural differences in parenting and family functioning (‘cultural absolutism’ versus ‘cultural relativism’); there are factors that uniquely characterise ‘the migrant context’ (especially lack of awareness of child protection laws and systems, economic disadvantage, and fear of authority); and that cultural competency is separable from cultural awareness and cultural sensitivity, and also different from addressing language barriers. However, in reviewing the literature it became apparent that the specific roles and responsibilities of workers, agencies, and systems were not clearly delineated. Thus this paper also aimed to address this unmet need. Identifying their unique roles and responsibilities can help ensure that the delivery of child protection services are efficiently and effectively mobilised from both the ‘top’ and ‘bottom’ to benefit all ethnic minority families. Moreover, any implementation of cultural competency needs to move beyond the emphasis on culture and acknowledge the dimensions of inferiority and oppression to truly promote value for diversity and protect ethnic minority children from the dangers of systematic disadvantage that institutional racism represents.     

Proposing a Model of Service Delivery for Victims/Survivors of Child Sexual Abuse (CSA) from Ethnic Minority Communities in Australia

A systematic literature review on child sexual abuse (CSA) and ethnic minority communities was conducted to help address the current gap in knowledge in the area. This article reports on one explored theme – aspects of service delivery models identified as effective, as the basis for developing a model for Australia. The findings indicate two key aspects of effective service delivery: (i) models should be ecologically grounded to the specific cultural context, and (ii) individuals should be placed at the center of intervention so their needs and experiences are not ‘boxed in’ by their ethnicity. The model proposed for the Australian context is guided by these two key principles. Service delivery models are important because they help guide practice and standardize treatment and support in the field. However, the model proposed here also values flexibility, cultural competency, a strengths-based approach, an empowerment-based approach, intersectionality, and a feminist framework. These model elements are particularly relevant in relation to the family cohesion and support that collectivist cultures offer; whether, to what extent, and how they act as a risk or protective factor, or even both, is best determined by the victim/survivor. The utility of the model for practitioners and clients requires rigorous evaluation.     

How effective do families of non–English‐speaking background (NESB) and child protection caseworkers in Australia see the use of interpreters? A qualitative study to help inform good practice principles

Little empirical research has been conducted in Australia on what constitutes as effective practice with interpreters in child protection matters. This study aimed to address this gap. Qualitative interviews were conducted with 29 non–English‐speaking background (NESB) client families and 17 child protection caseworkers (as part of a larger study). Four examples of good practice (e.g. accurate translation) and 14 examples of ineffective practice emerged. The examples of poor practice were consequently grouped as issues with: (i) interpreters (e.g. inaccurate translation); (ii) caseworkers (e.g. insufficient time); (iii) NESB families (e.g. refusing to use an interpreter); and (iv) resources (e.g. insufficient face‐to‐face interpreters). As expected, the results largely replicate the (scant) national and international literature, indicating that features of good practice, and barriers to them, are similar across multicultural countries. This paper does however argue that training for interpreters dealing in such sensitive matters and training for caseworkers on working effectively with interpreters seem to be at the heart of good practice. This study is significant because it draws on the richness of data that qualitative methods offer to identify the full range of relevant variables and provide empirical support for principles of good practice.     

Testing Homogeneity of Gini Indices Against Simple-Ordered Alternative

Gini index is one of the most popular indices employed for measuring inequality in income and wealth. In this article, we propose a multi-sample test for testing Gini indices against simple-ordered alternatives. The exact critical points through simulation were computed for the proposed test in case of two-parameter exponential distribution; however, the proposed test can be applied even in case of other distributions like Pareto, Weibull, etc. Construction of simultaneous one-sided confidence intervals (SOCIs) was proposed along with an illustration. Power of the test is computed and some power comparisons are also made.     

Regression for doubly inflated multivariate Poisson distributions

Dependent multivariate count data occur in several research studies. These data can be modelled by a multivariate Poisson or Negative binomial distribution constructed using copulas. However, when some of the counts are inflated, that is, the number of observations in some cells are much larger than other cells, then the copula-based multivariate Poisson (or Negative binomial) distribution may not fit well and it is not an appropriate statistical model for the data. There is a need to modify or adjust the multivariate distribution to account for the inflated frequencies. In this article, we consider the situation where the frequencies of two cells are higher compared to the other cells and develop a doubly inflated multivariate Poisson distribution function using multivariate Gaussian copula. We also discuss procedures for regression on covariates for the doubly inflated multivariate count data. For illustrating the proposed methodologies, we present real data containing bivariate count observations with inflations in two cells. Several models and linear predictors with log link functions are considered, and we discuss maximum likelihood estimation to estimate unknown parameters of the models.     

Doubly inflated Poisson model using Gaussian copula

Multivariate data are present in many research areas. Its analysis is challenging when assumptions of normality are violated and the data are discrete. The Poisson discrete data can be thought of as very common discrete type, but the inflated and the doubly inflated correspondence are gaining popularity (Sengupta, Chaganty, and Sabo 2015; Lee, Jung, and Jin 2009; Agarwal, Gelfand, and Citron-Pousty 2002).

Our aim is to build a statistical model that can be tractable and used to estimate the model parameters for the multivariate doubly inflated Poisson. To keep the correlation structure, we incorporate ideas from the copula distributions. A multivariate doubly inflated Poisson distribution using Gaussian copula is introduced. Data simulation and parameter estimation algorithms are also provided. Residual checks are carried out to assess any substantial biases. The model dimensionality has been increased to test the performance of the provided estimation method. All results show high-efficiency and promising outcomes in the modeling of discrete data and particularly the doubly inflated Poisson count type data, under a novel modified algorithm.