Statistical Analysis of Local Education Agency Funding and Demographics in the Finger Lakes Region, New York
DOI:
https://doi.org/10.29327/2565368.3.1-4Keywords:
local education agency, race, New York, Finger Lakes Region, demographics, multiple linear regression, ordinary least sqaures, revenue, education funding, statistical modelingAbstract
Local education agencies (LEAs) nationally face revenue disparities, greatly impacting minorities and socioeconomic groups. These disparities can negatively affect student achievement and subject proficiency. Using data from the National Center for Education Statistics during the 2018-2019 school year, 36 multiple linear regression models were fitted to analyze the associations between racial and ethnic groups on local, state, and federal revenue sources. It was found that White and Asian students were positively associated with local revenue sources, particularly local property taxes, and Asian students were negatively associated with state and federal revenue. Black or African American students were negatively associated with property tax revenue but had strong positive associations with state and federal revenue. Hispanic/Latino students had limited significant associations, which were positively linked to federal revenue. Students of two or more races had many positive and negative associations at the local, state, and federal levels. This study highlights the differences in LEA funding based on student demographics and provides insights into policy to provide equitable funding for LEAs in the Finger Lakes Region across racial and ethnic groups.
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