Research Theme: Poverty, Socioeconomic Status and Inequality

 

Name: Apoorva Jadhav
Institution: University of Michigan
Contact: anjadhav@umich.edu
Completion: Withheld

Project: I am comparing all HRS sister studies to document widowhood and effect on poverty and health. Adding the TILDA would be a good comparison within Europen (With SHARE and ELSA), and with the US.

This research project is also recorded under the theme: Health.

 


 

Name: Steven Haas
Institution: Pennsylvania State University
Contact: sah49@psu.edu
Completion: January 2015

Project: This project investigates the long term impact of poor childhood health and socioeconomic circumstances on later life health outcomes. TILDA will be used in conjunction with the US Health and Retirement Study (HRS), the English Longitudinal Study of Ageing (ELSA) and the Survey of Health, Aging and Retirement in Europen (SHARE) in a cross-national comparative analysis.

This research project is also recorded under the theme: Health.

 


 

Name: Anne O'Farrell
Institution: HSE
Contact: anne.ofarrell@hse.ie
Completion: Withheld

Project: We are currently working on fuel poverty and need to have household data to enhance our findings.

 


 

Name: Helen Russell
Institution: Economic and Social Research Institute
Contact: helen.russell@esri.ie
Completion: 2016

Project: I wish to explore whether the data can be used to examine relating to health and wellbeing at work, in particular issues of work-related ill health. If feasible, this analyses will be undertaken as part of a research programme between the Health and Safety Authority and the ESRI on Health, Safety and Well-being at work. This project will run until the end of 2015. I also wish to use the data to explore issues of gender inequality in later life including topics of labour market experiences, income (including pensions), poverty, and social exclusion. 

This research project is also recorded under the themes: Gender Equality, Quality of Life and Wellbeing  and Work and Employment.

 


 

Name: Keisha Taylor
Institution: Trinity College Dublin
Contact: taylorkr@tcd.ie
Completion: August 2014

Project: The current study will use TILDA data to examine the relationship between smoking and socioeconomic status among older women in Ireland. Particular attention will be paid to life course factors, specifically gendered and domestic aspects of social class. 

This research project is also recorded under the theme: Alcohol Consumption and Smoking.

 


 

Name: Withheld
Institution: Withheld
Contact: Withheld
Completion: May 2017

Project: The overarching aim of this project is to provide new insights into the question of how evolving urban environments can adapt to meet the needs of a diverse ageing population, with particular focus on those experiencing different forms of social exclusion. The social exclusion of older people will be examined through a comparative analysis of data from the English Longitudinal Study of Ageing (ELSA), the Irish Longitudinal Study on Ageing (TILDA) and the Belgian Ageing Studies (BAS). A variety of statistical techniques (factor analysis, multilevel generalised linear models and multilevel growth curve models) will be sued to compare and contrast: the multidimensional nature of social exclusion among urban elders; the area and individual factors predicting the level of social exclusion; and the area and individual factors predicting the development of social exclusion after accounting for individual characteristics in the three selected countries.

 


 

Name: Fan Yang
Institution: Nanjing Medical University
Contact: youngfan@njmu.edu.cn
Completion: December 2016.

Project: Research in social epidemiology and medical sociology has consistently shown that people in lower socioeconomic status (SES) groups experience poorer health and live shorter lives than those in higher status groups. Therefore, the purpose of our study was to test whether SES differentials in mortality exist among the developing and developed countries. Our research question was, for the low-income countries, does SES still affect mortality significantly? More specifically, do SES differentials with respect to mortality disappear or enlarge beyond the particular regions? We will conduct proportional hazard analysis involving time-varying covariates to examine the impact of SES on mortality risk if we can use CLSA dataset.

This research project is also recorded under the theme: Ageing and Mortality.

 

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