Market structure,bank conduct and bank performance: Evidence from ASEAN

Whether banks in a concentrated market increase their profits through monopoly pricing is a question of prime concern for antitrust policies. We explore this question by introducing the role of bank conduct into the structure–performance relationship. We apply Two-step System GMM dynamic panel model to commercial banks in the Association of South East Asian Nations over the period of 1999–2014. The results indicate that the higher profits in concentrated banking industries are partially attributable to the anti-competitive conduct of banks. These findings are robust across alternative measures of market structure and bank conduct, and different time horizons. The implications of these findings require regulators to make sure that the consolidation policy for ASEAN is achieving its purpose – i.e. financial stability – and not allowing the banks to earn monopoly rents.     

Cruising,space and surveillance: decolonizing sexuality in Singapore

ABSTRACT

The policing of homosexuality in Singapore through legislation and public policy are imbued with colonial legacies that have enshrined heteronormative values within its public sphere. However, communities within new online spaces in Singapore disrupt the heteronormative surveillance efforts deployed by the state within public, family and political landscapes. Through an analysis of a local online forum dedicated to cruising this article unpacks how local gay men resist, negotiate and deploy surveillance techniques to navigate these heteronormative structures and cruise safely in Singapore. This article demonstrates how online spaces have become part of an everyday resistance that characterize modern-day efforts to decolonize sexuality in Singapore.     

Addressing the effect of parameter estimation on phase II monitoring of multivariate multiple linear profiles via a new cluster-based approach

Abstract

Profile monitoring is applied when the quality of a product or a process can be determined by the relationship between a response variable and one or more independent variables. In most Phase II monitoring approaches, it is assumed that the process parameters are known. However, it is obvious that this assumption is not valid in many real-world applications. In fact, the process parameters should be estimated based on the in-control Phase I samples. In this study, the effect of parameter estimation on the performance of four Phase II control charts for monitoring multivariate multiple linear profiles is evaluated. In addition, since the accuracy of the parameter estimation has a significant impact on the performance of Phase II control charts, a new cluster-based approach is developed to address this effect. Moreover, we evaluate and compare the performance of the proposed approach with a previous approach in terms of two metrics, average of average run length and its standard deviation, which are used for considering practitioner-to-practitioner variability. In this approach, it is not necessary to know the distribution of the chart statistic. Therefore, in addition to ease of use, the proposed approach can be applied to other type of profiles. The superior performance of the proposed method compared to the competing one is shown in terms of all metrics. Based on the results obtained, our method yields less bias with small-variance Phase I estimates compared to the competing approach.     

Conditional Cash Incentive and Use of Health Care Services: New Evidence from a Household Experiment

Studies have recently provided insights into the effects of incentive modalities in the health care sector. However, there is insufficient evidence on the underlying causes of the partial effectiveness of these strategies in the health systems of developing countries. This study presents results from a large-scale randomized experiment across 6848 households in Afghanistan that evaluates the impact of a conditional incentive pay scheme on health facilities. Supported by the target-income hypothesis framework and relaxing the compliance assumption in the empirical modeling, the estimated coefficients yield causal effects of the supply-side conditional incentive on the utilization for health care services. After 2 years, the conditional incentive increased the use of pre-targeted maternal and children health care services among the households at lower levels and at contracted-out health facilities. Additionally, the incentive scheme is associated with sizable efficiency gains at the facility level. These gains are realized at the expense of deterring service users’ satisfaction with physicians’ communication qualities. This study establishes that margins of improvement do exist in the supply-side performance conditioning on an organizational structure and the service contractual arrangements of health facilities. This work provides a framework for the plausible implementation of incentive policies in the health care sector.

     

Disaster cosmologies in comparative perspective: Islam,climate change and the 2010 floods in Pakistan's Southern Punjab

As humanity enters a new era of climate‐induced unpredictability, research into the role of religion in shaping perceptions of, and responses to disaster will become increasingly important. This is particularly true of South Asia, which contains dense populations certain to be adversely affected by climate change. This contribution explores the way religion shapes and mediates responses to disaster in Pakistan. Where previous work in this field has focused on extremists and militants, mine considers currents of lived Islam that take explicit stances on questions of natural resource development. Drawing upon extensive primary data, I identify two distinct disaster cosmologies permeating state and society. First, I consider the official Islam of experts and policymakers, whose approach to development is derived from, but arguably surpasses the modernism of British and American colonial and Cold War paradigms in its dogmatic, faith‐based belief in the imperative of mastering and exploiting nature. The second is an altogether contrasting formation embedded in a political protest movement representing a marginalized constituency, the Siraiki speaking population of Southern Punjab, which mobilized flood affectees in the aftermath of the 2010 floods around issues of social and environmental justice.     

Association between femininity and women voters political trust in Pakistan

Political trust has been researched extensively since long in the sociology of politics. However, feminine attributes are rarely tested against political trust, especially in developing countries such as Pakistan. The present research explores the association of feminine attributes possessed by rural women with different attributes of political trust in politicians. A total of 414 registered women voters were recruited through a multistage sampling technique from selected tehsils of Punjab Province, Pakistan. The data were collected through an interview schedule, processed through SPSS (21.0), and presented in a tabular format. Pearson R correlation was applied to find out the association between hypothesized variables. The findings suggest that emotionality is significantly correlated with performance, ability, and the conduct of politicians (r = .302, r = .267, r = ?.216, p < .01). Feminine purity is significantly correlated with performance and the ability of politicians (r = .309, r = .202, p < .01). Feminine stereotypical image is significantly correlated with performance and the ability of politicians (r = .174, r = .196, p < .01). Traditional gender relations in the society need to be looked at carefully to realize the true potential of women in terms of their political participation.     

A EWMA control chart based on an auxiliary variable and repetitive sampling for monitoring process location

ABSTRACT

This article develops an exponentially weighted moving average (EWMA) control chart using an auxiliary variable and repetitive sampling for efficient detection of small to moderate shifts in location. A EWMA statistic of a product estimator of the average (which utilities the information of auxiliary variables as well as repetitive sampling) is plotted on the proposed chart. The control chart coefficients of the proposed EWMA chart are determined for two strategic limits known as outer and inner control limits for the target in-control average run length. The performance of the proposed EWMA chart is studied using average run length when a shift occurs in the process average. The efficiency of the developed chart is compared with the competitive existing control charts. The results of the study revealed that proposed EWMA chart is more efficient than others to detect small changes in process mean.     

Estimation of Median in Two-Phase Sampling Using Two Auxiliary Variables

In recent years, zero-inflated count data models, such as zero-inflated Poisson (ZIP) models, are widely used as the count data with extra zeros are very common in many practical problems. In order to model the correlated count data which are either clustered or repeated and to assess the effects of continuous covariates or of time scales in a flexible way, a class of semiparametric mixed-effects models for zero-inflated count data is considered. In this article, we propose a fully Bayesian inference for such models based on a data augmentation scheme that reflects both random effects of covariates and mixture of zero-inflated distribution. A computational efficient MCMC method which combines the Gibbs sampler and M-H algorithm is implemented to obtain the estimate of the model parameters. Finally, a simulation study and a real example are used to illustrate the proposed methodologies.     

Multilevel Augmented Pairs Second-Order Response Surface Designs and Their Robustness to Missing Data

Missing observations can occur even in a well-planned experiment. The effect of missing observations can be much more serious when the design is saturated or near saturated. The levels of factor settings that make a design more robust to missing observations are of great importance in the sense that the loss for missing observations becomes minimum. In this study, new augmented pairs minimax loss designs are constructed, which are more robust to one missing design point than the augmented pairs designs presented by Morris (2000 Morris , M. D. ( 2000 ). A class of three-level experimental designs for response surface modeling . Technometrics 42 : 111 – 121 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). New designs are compared with augmented pairs designs, central composite designs, and small composite designs under generalized scaled standard deviations. The model used is also studied for the regression coefficient estimates.