Tools
Tools
Puranik, Rohit (2023) Exploring and forecasting income disparities across Irish counties: A comprehensive socioeconomic research. Masters thesis, Dublin, National College of Ireland.
Preview |
PDF (Master of Science)
Download (1MB) | Preview |
Preview |
PDF (Configuration Manual)
Download (543kB) | Preview |
Abstract
Income inequality between urban and rural populations and among the various counties of Ireland constitutes a significant social and economic challenge for both society and policymakers. This research seeks to quantify and analyze these disparities within urban and rural counties of Ireland, utilizing two socioeconomic factors: Disposable Income per Person and Disposable Income per Person (excluding Rent). Drawing upon data from the Central Statistics Office of Ireland, this research aims to offer a comprehensive understanding of the extent and nature of income inequalities among the counties of Ireland.
Within the context of Ireland's historical and economic background, this research delves into the urban and rural classification of counties. The project underscores the global concern of income inequality and highlights a research gap specific to Ireland. To address this issue, visualization tools like Power BI and Python visualization libraries are employed. Additionally, forecasting time series machine learning models are utilized to predict future income disparities among the counties in the region. Throughout this research, there is also a focus on the impact of the Potato Famine (1845-1852).
To ascertain the significance of changes in income disparity, statistical tools such as the Lorenz Curve and Gini Coefficient are implemented. These tools are further validated through statistical tests such as t-tests and Wilcoxon rank-sum tests. The overarching goal of this research is to provide valuable insights for policymakers, contributing to the establishment of a more equitable society and fostering a sustainable Irish economy.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Chikkankod, Arjun UNSPECIFIED |
| Uncontrolled Keywords: | Irish Economy; Income Disparity; Urban & Rural Counties; Forecasting Disparity; Potato Famine |
| Subjects: | H Social Sciences > HT Communities. Classes. Races Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > Economics > Wealth > Income Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning |
| Divisions: | School of Computing > Master of Science in Data Analytics |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 20 May 2025 16:34 |
| Last Modified: | 20 May 2025 16:34 |
| URI: | https://norma.ncirl.ie/id/eprint/7595 |
Actions (login required)
 |
View Item |