The Relative Impact of Family Income Vs Per Student Expenditures on Education Outcomes in Washington
DOI:
https://doi.org/10.47611/jsrhs.v11i3.2939Keywords:
Wealth Inequality, Education Outcomes, Socioeconomic Status, Education Inequality, Public School Districts, High School Graduation Rates, Post-Secondary Education, Achievement GapAbstract
Since education is often attributed to reducing wealth inequality, the growing wealth inequality in the United States has led to concerns on how wealth might affect education outcomes. Research regarding socioeconomic and per student expenditures on education outcomes, suggest a correlation between student outcomes and wealth inequality. However, prior research has only been conducted on how these factors influence education outcomes individually, no research has been done comparing the relative impact of family income and per student expenditures on student outcomes. I used multiple linear regression to determine the relationship between wealth and student outcomes, and compare the effects of median household income versus per student expenditures. I found that median household income overall had a more significant influence on education outcomes than per student expenditures in Washington public high schools. These outcomes were measured by graduation rates of high school, enrollment into four-year education, and percent not enrolled in post-secondary education. While median household income was found to have a significant relationship with all education outcomes, per student expenditures only had a statistically relationship with percent not enrolled in post-secondary education. Thus, inequality in per student expenditures had a significantly less influence on college enrollment compared to what previous research suggested. This suggests targeting differences in education originating from differences in socioeconomic status would be more effective than focusing on programs targeted at per student expenditures. Therefore, this research holds implications for policy makers and school administrators looking to improve student outcomes in high school.
Downloads
References or Bibliography
Albers. (2017). Introduction to quantitative data analysis in the behavioral and social sciences. Wiley.
Baker, B. (2018). Educational inequality and school finance : Why money matters for America's students. Cambridge, Massachusetts: Harvard Education Press.
Bradbury, B., Corak, M., Waldfogel, J., & Washbrook, E. (2015). Too Many Children Left Behind. New York: Russell Sage Foundation.
Breen, R., & Chung, I. (2015). Income inequality and education. Sociological Science, 2, 454-477. doi:http://dx.doi.org/10.15195/v2.a22
Bricker, Jesse, Sarena Goodman, Kevin B. Moore, and Alice Henriques Volz (2020). "Wealth and Income Concentration in the SCF: 1989–2019," FEDS Notes. Washington: Board of Governors of the Federal Reserve System, September 28, 2020, https://doi.org/10.17016/2380-7172.2795.
DFA. (n.d.). Distribution of Household Wealth in the U.S. since 1989. Board of Governors of the Federal Reserve System. Retrieved May 31, 2022, from https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/chart/
Education Research & Data Center. (2020, June). High School Graduate Outcomes. Education Research & Data Center. https://erdc.wa.gov/
Goldhaber, D., Quince, V., & Theobald, R. (2018). Has It Always Been This Way? Tracing the Evolution of Teacher Quality Gaps in U.S. Public Schools. American Educational Research Journal, 55(1), 171-201.
Hyman. (2017). Does money matter in the long run? American Economic Journal. Economic Policy, 9(4), 256–280. https://doi.org/10.1257/pol.20150249
Jackson, Johnson, R. C., & Persico, C. (2016). The effects of school spending on educational and economic outcomes. The Quarterly Journal of Economics, 131(1), 157–218. https://doi.org/10.1093/qje/qjv036
OSPI. (2020, December 16). Report Card Graduation 2017-18 [Data set]. Data.WA.gov. https://data.wa.gov/
Parker, Jerrim, J., Schoon, I., & Marsh, H. W. (2016). A Multination Study of Socioeconomic Inequality in Expectations for Progression to Higher Education: The Role of Between-School Tracking and Ability Stratification. American Educational Research Journal, 53(1), 6–32. https://doi.org/10.3102/0002831215621786
Pfeffer, F. (2018). Growing Wealth Gaps in Education. Demography, 55(3), 1033-1068.
U.S. Department of Education. (n.d.). Institute of Education Sciences, National Center for Education Statistics.
Von Hippel, P., Workman, J., & Downey, D. (2018). Inequality in Reading and Math Skills Forms Mainly before Kindergarten. Sociology of Education, 91(4), 323-357.
Webber, D. (2021). A Growing Divide: The Promise and Pitfalls of Higher Education for the Working Class. The Annals of the American Academy of Political and Social Science, 695(1), 94-106.
Zach. (2020, March 24). How to Calculate VIF in Excel. Statology. Retrieved April 20, 2022, from https://www.statology.org/how-to-calculate-vif-in-excel/
Zach. (2020, March 26). How to Perform a Breusch-Pagan Test in Excel. Statology. Retrieved April 20, 2022, from https://www.statology.org/breusch-pagan-test-excel/
Zach. (2021, November 16). The Five Assumptions of Multiple Linear Regression. Statology. Retrieved May 2, 2022, from https://www.statology.org/multiple-linear-regression-assumptions/
Zucman, G., & Saez, E. (2016). Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data. The Quarterly Journal of Economics, 131(2), 519-578.
Published
How to Cite
Issue
Section
Copyright (c) 2022 Lilymoon Whalen
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.