Correction to: Patronage and Public Goods Provisioning in an Unequal Land

Social Indicators Research - The article Patronage and Public Goods Provisioning in an Unequal Land, written by Hadia Majid and Rashid Memon, was originally published electronically on the...     

Health Disorder of Climate Migrants in Khulna City: An Urban Slum Perspective

As the most vulnerable climatic region in the country, Khulna City is increasingly experiencing climate‐change‐induced urban problems. For instance, occupancy by climate migrants (delete the term “illegal migrant”), drainage congestion, water logging and reduced fresh water availability are all increasing problems. In the last decade, the population in the city increased by more than 20 per cent due to migration from nearby climate vulnerable districts. This study explores the health disorders of climate migrants occupying the urban slums and squats of the Khulna City area. This study found that these climate migrants settled in the urban slums and squats and, as such, they do not have access to urban amenities such as clean drinking water, hygiene services, and health facilities. This study noted that these displaced people are at increased risk of health issues from unhygienic and overcrowded living conditions and from water and sanitation problems. They often suffer from different waterborne diseases, under‐nutrition and micronutrient deficiencies. This study suggests that there is a need for better planning, preparation and training in Bangladesh to which migrants move, including better training in health and related services on how to recognize and respond to health problems that may be slow to manifest. Education and training also need to be provided for the migrants themselves, to help them adapt culturally and to enhance their skills and potential for employment.     

The Roman Catholic Church: A Centuries Old History of Awareness of Clerical Child Sexual Abuse (from the First to the 19th Century)

Debates in international forums and in mainstream media on the role, responsibility, liability, and response of ecclesiastical authorities of the Roman Catholic Church (RCC) toward clerical child sexual abuse (cCSA) fail to take into account the historical roots and awareness of the problem. Reports also fail to mention the historic organizational laws RCC developed over centuries. In contrast, RCC documents evidence that the Catholic Church not only carried century’s old history of cCSA, but also repeatedly condemned cCSA by successive papal authorities, organizational laws, and institutional management mechanisms. During the first millennium, however, church laws remained confined to the bookshelves and were not converted into appropriate management policies and infrastructural models. This was largely due to the absence of a central administrative organizational structure, which developed later in the 12th century, following the Second Council of Lateran (1139) when the Papacy asserted its authority to establish administrative control over the organizational church. It was only then that management policies started to be framed and institutional structures enacted to deal more appropriately with cCSA from the 14th to 20th centuries. Despite this, RCC developed a culture of secrecy using clandestine organizational management models and institutional laws prescribed in 1568, 1622, 1741, 1866, 1922, and 1962 which aimed to manage cCSA. The current study traces reported cCSA as far back as the first century and critically examines the organizational laws, and institutional policies developed by RCC to address clerical sexual misconduct up to the end of the 19th century.     

Rank-based analysis of repeated measures block designs

A rank-based inference is developed for repeated measures balanced incomplete block and randomized complete block designs using a suitable dispersion function. Asymptotic distributions of rank estimators are developed after establishing approximate linearity of the gradient vector of the dispersion function. Unlike available nonparametric procedures for those designs, estimation and testing are tied together. Three different test statistics are developed for testing the linear hypotheses. Friedman's (1937) statistic and Durbin's (1951) statistic are particular cases of one of the three proposed statistics. An estimate of a scale parameter which appears in the ARE expression as well as as in the variences and covariances of the rank estimators is discussed.     

MULTIVARLYTE ANALYSIS OF CLUSTERED SURVEY DATA: TESTING EQUALITY OF COVARLANCE MATRICES

The problem of testing the hypothesis of equality of covariance matrices in the presence of two-stage sampling is considered. Asymptotic test procedures based on linearization, grouping and jackknifing with or without transformation are proposed. The finite sample properties of these procedures are investigated in sampling experiments both from simulated known distributions and from a natural population.     

Control charts for location based on different sampling schemes

Control charts are the most important statistical process control tool for monitoring variations in a process. A number of articles are available in the literature for the X? control chart based on simple random sampling, ranked set sampling, median-ranked set sampling (MRSS), extreme-ranked set sampling, double-ranked set sampling, double median-ranked set sampling and median double-ranked set sampling. In this study, we highlight some limitations of the existing ranked set charting structures. Besides, we propose different runs rules-based control charting structures under a variety of sampling strategies. We evaluate the performance of the control charting structures using power curves as a performance criterion. We observe that the proposed merger of varying runs rules schemes with different sampling strategies improve significantly the detection ability of location control charting structures. More specifically, the MRSS performs the best under both single- and double-ranked set strategies with varying runs rules schemes. We also include a real-life example to explain the proposal and highlight its significance for practical data sets.     

Does Remittance Outflow Stimulate or Retard Economic Growth?

This article evaluates the association between remittance outflow (RMO) and economic growth in the Gulf Cooperation Council (GCC) countries. The results of this evaluation indicate that RMO Granger creates gross domestic product (GDP) per capita in three countries, namely, Bahrain, Oman and Saudi Arabia. Similarly, the results for causality from GDP per capita to RMO are significant for four countries, namely, Bahrain, Kuwait, Qatar, and Saudi Arabia. The findings differ from those of the household consumption model, stating that higher RMO will decrease economic activity. GDP per capita is the main determinant of RMO, suggesting that economic growth promises and encourages continuous RMO and vice versa. The adverse impact of RMO can be minimized by encouraging the local population to be productive in the private sector, as local productivity will reduce the huge influx of foreign workers and provide valuable local investment opportunities to lessen the amount being remitted.