‘Poor prison flowers’: convict mothers and their children in Ireland, 1853-1900

Pregnant women and mothers were among the thousands of individuals who were sentenced to at least three years’ penal servitude and admitted to the nineteenth-century Irish female convict prison. While some babies were born behind bars, others were permitted to accompany their convicted mothers into the prison after the penal practice of transportation had ceased. Other dependent children were separated from their convicted mothers for years, cared for by family members or friends, or accommodated in Ireland’s growing web of institutions. Using individual case studies, this article focuses on convict mothers and their young offspring. It draws attention to the increasing restrictions on the admission of infants that were imposed as the nineteenth century progressed, the problems that children of various ages in the penal system seemed to pose for officials, and the difficulties faced by incarcerated mothers who wished to maintain communication with their offspring. This article argues that while there were benefits to parenting within the confines of the prison, sentences of penal servitude had a significant impact on the lives of dependent offspring by dislocating families, separating siblings, or initiating institutional or other care that broke familial bonds permanently. In so doing, the article reveals attitudes towards motherhood as well as female criminality and institutionalization generally during this period and sheds light on an aspect of convict life unique to the women’s prison.

Irish Credit Unions: Differential Regulation based on Business Model Complexity

This study examines the business model complexity of Irish credit unions using a latent class approach to measure structural performance over the period 2002 to 2013. The latent class approach allows the endogenous identification of a multi-class framework for business models based on credit union specific characteristics. The analysis finds a three class system to be appropriate with the multi-class model dependent on three financial viability characteristics. This finding is consistent with the deliberations of the Irish Commission on Credit Unions (2012) which identified complexity and diversity in the business models of Irish credit unions and recommended that such complexity and diversity could not be accommodated within a one size fits all regulatory framework. The analysis also highlights that two of the classes are subject to diseconomies of scale. This may suggest credit unions would benefit from a reduction in scale or perhaps that there is an imbalance in the present change process. Finally, relative performance differences are identified for each class in terms of technical efficiency. This suggests that there is an opportunity for credit unions to improve their performance by using within-class best practice or alternatively by switching to another class.

Outlier effects on robust joint modelling of longitudinal and survival data

Robust joint modelling is an emerging field of research. Through the advancements in electronic patient healthcare records, the popularly of joint modelling approaches has grown rapidly in recent years providing simultaneous analysis of longitudinal and survival data. This research advances previous work through the development of a novel robust joint modelling methodology for one of the most common types of standard joint models, that which links a linear mixed model with a Cox proportional hazards model. Through t-distributional assumptions, longitudinal outliers are accommodated with their detrimental impact being down weighed and thus providing more efficient and reliable estimates. The robust joint modelling technique and its major benefits are showcased through the analysis of Northern Irish end stage renal disease patients. With an ageing population and growing prevalence of chronic kidney disease within the United Kingdom, there is a pressing demand to investigate the detrimental relationship between the changing haemoglobin levels of haemodialysis patients and their survival. As outliers within the NI renal data were found to have significantly worse survival, identification of outlying individuals through robust joint modelling may aid nephrologists to improve patient's survival. A simulation study was also undertaken to explore the difference between robust and standard joint models in the presence of increasing proportions and extremity of longitudinal outliers. More efficient and reliable estimates were obtained by robust joint models with increasing contrast between the robust and standard joint models when a greater proportion of more extreme outliers are present. Through illustration of the gains in efficiency and reliability of parameters when outliers exist, the potential of robust joint modelling is evident. The research presented in this thesis highlights the benefits and stresses the need to utilise a more robust approach to joint modelling in the presence of longitudinal outliers.