Abstract
dc:description.abstractThe purpose of this study is to examine what factors predict who received monthly Child Tax Credit payments and how they were spent. In March of 2021, Congress passed the American Rescue Plan (ARP). Included in this bill was an expansion of the Child Tax Credit (CTC), a program providing tax relief to families with children. The ARP directed the treasury to issue half of the credit in monthly payments from July to December of 2021. These monthly payments contributed to a lowering of the poverty rate from July through December of 2021 (Parolin et al. 2022). This study was conducted using secondary data from the Household Pulse Survey (HPS) public microdata (US Census Bureau 2021). Logistic regression was used to analyze what factors predicted recipience of CTC payments and how these payments were utilized. Results indicate that factors such as race, sex, education, income, employment status, and marital status were predictive of recpience and use patterns for expanded Child Tax Credit Payments.
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- masters
- Discipline thesis:degree_discipline
- Sociology
- Department dc:contributor.department
- Sociology
- Grantor dc:publisher
- Virginia Tech
- Year dc:date.issued
- 2025
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Likosar, Andrew James
- Chair dc:contributor.committeechair
-
- Roos, Jason Micah
- Committee members dc:contributor.committeemember
-
- Reichelmann, Ashley Veronica
- Ritchie, Liesel Ashley
Subjects
dc:subject × 5Rights
dc:rights- Statement dc:rights
-
- In Copyright
- Licence dc:rights.uri
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Dc Identifier Other
- vt_gsexam:44074
- OAI identifier oai:identifier
- oai:vtechworks.lib.vt.edu:10919/134252