Informing Federal School Finance Policy with Empirical Evidence

Autor/inn/en	Baker, Bruce D.; Weber, Mark; Srikanth, Ajay
Titel	Informing Federal School Finance Policy with Empirical Evidence
Quelle	In: Journal of Education Finance, 47 (2021) 1, S.1-25 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0098-9495
Schlagwörter	Models; Educational Finance; Grade 3; Grade 4; Grade 5; Grade 6; Grade 7; Grade 8; Expenditure per Student; School Districts; Funding Formulas; Costs; Computation; Outcomes of Education + Suchen Sie Ihr Suchwort? Analogiemodell; Bildungsfonds; School year 03; 3. Schuljahr; Schuljahr 03; School year 04; 4. Schuljahr; Schuljahr 04; School year 05; 5. Schuljahr; Schuljahr 05; School year 06; 6. Schuljahr; Schuljahr 06; School year 07; 7. Schuljahr; Schuljahr 07; School year 08; 8. Schuljahr; Schuljahr 08; School district; Schulbezirk; Funding; Finanzierung; Cost; Kosten; Lernleistung; Schulerfolg
Abstract	This article explains the process behind estimating a National Education Cost Model (NECM) and generating from that model projections of per-pupil costs to achieve 2016 national average outcomes (reading and math grades 3 to 8) across all districts in the United States, from 2019-20 to 2020-21. This article is a follow-up to a preliminary report prepared in 2018 in which the authors made a first attempt to estimate a National Education Cost Model using methods most often applied to individual states (Baker, Weber, Srikanth, Atzbi, Kim, 2018). Here, the authors have expanded on this process, to develop a three-step method from an estimated cost model using district level data on approximately 10,000 districts per year from 2009 to 2016, to a simulation of estimated costs for over 13,000 districts for 2019 through 2021. That process involves the following steps to be explained in detail in this article: Step 1: Estimating a National Education Cost Model to historical district level panel data with missing data; Step 2: Estimating a set of parsimonious weighting factors that approximate the cost model estimates with more easily updated, limited measures, covering all districts; and Step 3: Developing a formula simulation to apply to current and future district level data, complete panel. (ERIC).
Anmerkungen	University of Illinois Press. 1325 South Oak Street, Champaign, IL 61820-6903. Tel: 217-244-0626; Fax: 217-244-8082; e-mail: journals@uillinois.edu; Web site: http://www.press.uillinois.edu/journals.php
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01