Patronage and Public Goods Provisioning in an Unequal Land

Social Indicators Research - This study explores the relationship between economic and political inequalities and access to public goods provisioning in Pakistan. We construct measures of political...     

Utilization of child helpline (CHL) among adolescents in Saudi Arabia: Results from a national survey

This study determines the rate of adolescents' interest in disclosing their exposure to abuse or neglect through a child helpline (CHL) and identifies the factors influencing disclosure through the line. A cross‐sectional, national survey utilizing ISPCAN Child Abuse Screening Tool‐Children's Home Version was conducted in secondary high schools in the main 5 provinces of Saudi Arabia. Boys and girls from public and private schools were selected to participate. Students (N = 16,010) aged 15–18 years were invited to complete the survey. The relationship between willingness to utilize CHL and demographic characteristics of the participants were evaluated using chi‐square test. Approximately, half (48%) of the participants reported their willingness to utilize a future CHL if they experienced any type of abuse in the past. Significant difference in age, gender, areas of residence, and abuse experience were found in terms of willingness to utilize CHL, and it was more likely among older age (17–18 years), boys, urban area, and abused participants (p < .01). Participants who reported experiencing multiple forms of abuse, neglect, and psychological abuse were 1.3, 1.9, and 1.2 times, respectively, more likely willing to utilize CHL. Educating adolescents about the utilization of CHL through awareness‐raising activities might reduce the prevalence of child abuse.     

Unbiased and almost unbiased ratio estimators of the population mean in ranked set sampling

In this paper we study the problem of reducing the bias of the ratio estimator of the population mean in a ranked set sampling (RSS) design. We first propose a jackknifed RSS-ratio estimator and then introduce a class of almost unbiased RSS-ratio estimators of the population mean. We also present an unbiased RSS-ratio estimator of the mean using the idea of Hartley and Ross (Nature 174:270?C271, 1954) which performs better than its counterpart with simple random sample data. We show that under certain conditions the proposed unbiased and almost unbiased RSS-ratio estimators perform better than the commonly used (biased) RSS-ratio estimator in estimating the population mean in terms of the mean square error. The theoretical results are augmented by a simulation study using a wheat yield data set from the Iranian Ministry of Agriculture to demonstrate the practical benefits of our proposed ratio-type estimators relative to the RSS-ratio estimator in reducing the bias in estimating the average wheat production.     

Professionals’ Attitude Toward Reporting Child Sexual Abuse in Saudi Arabia

Child sexual abuse (CSA) requires specialized knowledge and training that includes forensic interview skills. The aim of this study was to determine variations in professionals’ attitudes toward CSA by measuring three aspects of forensic attitudes (sensitivity, specificity, and skepticism) and evaluating disagreements concerning the assessment of CSA cases in Saudi Arabia. A cross-sectional, web-based study, in which the Child Forensic Attitude Scale was used to measure professionals’ attitudes, was conducted. Professionals who dealt with suspected cases of CSA as part of their jobs or were in professions that necessitated involvement with such cases, were selected as participants. Of 327 participants, 53% were aged ≤40 years, and 54% were men. In addition, 24% were doctors/nurses, 20% were therapists/psychiatrists, 24% were social workers, 17% were educators, 9% were law enforcement professionals, and 5% were medical examiners. Attitude subscale scores differed significantly according to participants’ sex, specialty, and training. Women, healthcare professionals, and those who had participated in more than five training courses were more concerned about the underreporting of abuse (high sensitivity) relative to other professionals. In comparison, men, medical examiners, law enforcement officers, and undertrained professionals tended to underreport suspected sexual abuse cases (high specificity). High specificity in attitudes toward suspected cases of CSA could affect professionals’ judgment and contribute to low reporting rates. Certain strategies, including increasing self-awareness of personal bias, specific CSA recognition courses, and team approaches to case assessment and management, should be implemented to control the influence of subjective factors.     

Randomized nomination sampling for finite populations

We propose a randomized minima–maxima nomination (RMMN) sampling design for use in finite populations. We derive the first- and second-order inclusion probabilities for both with and without replacement variations of the design. The inclusion probabilities for the without replacement variation are derived using a non-homogeneous Markov process. The design is simple to implement and results in simple and easy to calculate estimators and variances. It generalizes maxima nomination sampling for use in finite populations and includes some other sampling designs as special cases. We provide some optimality results and show that, in the context of finite population sampling, maxima nomination sampling is not generally the optimum design to follow. We also show, through numerical examples and a case study, that the proposed design can result in significant improvements in efficiency compared to simple random sampling without replacement designs for a wide choice of population types. Finally, we describe a bootstrap method for choosing values of the design parameters.     

Characterization of the Pearson system of distributions based on reliability measures

LetX be a random variable andX ^(w) be a weighted random variable corresponding toX. In this paper, we intend to characterize the Pearson system of distributions by a relationship between reliability measures ofX andX ^(w), for some weight functionw>0.     

Determinants of Profitability of Banking Sector in India

India currently is one of the fastest growing economies in the world. One sector of Indian economy that has played a critical role in transforming the Indian economy has been its banking sector. But this sector of Indian economy has also gone through a major transition that is still in progress. Many events and policies have contributed in this transition. One pivotal variable has been the growing profitability of this sector in the recent years. But profitability in banking sector is affected by numerous factors. These factors can be internal or external. In this research we shall try to examine the most important factors that may stem from both internal and external factors, which affect profitability of Indian banking sector. For this study a balanced panel data set is used that is drawn from Indian banking industry. The data is compiled for the purpose of investigating the nature of the relationship between the profitability and the factors that determine profitability of banks in India. The results of the study clearly demonstrate a close correlation between both internal and external factors and the level of profitability of banks in India.     

On the dynamic cumulative residual entropy

Recently, Rao et al. [(2004) Cumulative residual entropy: a new measure of information. IEEE Trans. Inform. Theory 50(6), 1220–1228] have proposed a new measure of uncertainty, called cumulative residual entropy (CRE), in a distribution function F and obtained some properties and applications of that. In the present paper, we propose a dynamic form of CRE and obtain some of its properties. We show how CRE (and its dynamic version) is connected with well-known reliability measures such as the mean residual life time.