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Opinions On Government Spending On Social Security: A Year And Cohort Analysis

Abstract

dc:description.abstract

This paper is an analysis of American's opinions on government spending on Social Security. The main objectives were to analyze the effect of year and cohort membership on the likelihood for American's to say that they think the government is spending too little on Social Security. The data was obtained from the General Social Survey. Results of the analysis conclude that year is statistically significant in predicting the likelihood of those who say the government is spending too little on Social Security. When comparing every year to 1994, 1996 is the only year that year that respondents were less likely to respond that the government was spending too little on Social Security. Every other test year, up to and including 2004, there is a growing likelihood of respondents indicating that the government is spending too little on Social Security. Finally, cohort membership was included in the analysis. Results conclude that the Swing cohort and the Babyboom cohort are statistically significant in predicting opinions on government spending on Social Security when being compared to the youngest cohort, the Babyboomlet-bust cohort. However, the results of the analysis show opposite direction in opinions between these two cohorts. Interestingly, the only cohort not statistically significant is the Silent generation.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Castora, Melissa
Contributors dc:contributor
  • Dietz, Tracy

Subjects

dc:subject × 4

Rights

Language dc:language
English

Identifiers

dc:identifier.*
Identifier
CFE0001016
OAI identifier oai:identifier
oai:stars.library.ucf.edu:etd-1816

Chain of custody

source
Harvested from
Central Florida
Base URL
stars.library.ucf.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Castora, Melissa. Opinions On Government Spending On Social Security: A Year And Cohort Analysis. 2006. https://stars.library.ucf.edu/etd/817