The emerging shape of educational adequacy: From theoretical assumptions to empirical evidence

Journal of Education Finance

Volumn 30, Issue 3, 2005, Pages 259-287

  Baker, Bruce D ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33746048771     PISSN: 00989495     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (89)

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50. W. Duncombe and J. Johnston, "The Impacts of School Finance Reform in Kansas: Equity Is in the Eye of the Beholder," in Helping Children Left Behind: State Aid and the Pursuit of Educational Equity, ed. J. M. Yinger (Cambridge, MA: MIT Press, 2004).
51. T. J. Gronberg and D. Jansen, Navigating Newly Chartered Waters: An Analysis of Texas Charter School Performance (Austin: Texas Public Policy Foundation, 2001);
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69. B. D. Baker, L. L. Taylor, and A. Vedlitz, Measuring Educational Adequacy in Public Schools (Austin: Texas Select Joint Committee on Education Finance, 2004), available at http://www.capitol.state.tx.us/psf/Reports/ Measuring%20Educational%20Adequacy.pdf.
70. J. Imazeki, Grade Dependent Costs of Education: Evidence from Illinois, Working Paper (San Diego: Department of Economics, San Diego State University, 2001);
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72. C. Alexander, T. Gronberg, D. Jansen, H. Keller, L. Taylor, and U. Triesman, A Study of Uncontrollable Variations in the Costs of Texas Public Education: A Summary Report Prepared for the 77th Texas Legislature (Austin: Charles A. Dana Center, University of Texas at Austin, 2002).
73. Reschovsky and Imazeki, "Achieving Educational Adequacy."
74. For the simulation from which this equation was derived, see http://www.cpr.maxwell.syr.edu/faculty/duncombe/special%20report/ aid%20simulation%20on%20the%20web.xls. For supporting documentation,
75. see W. D. Duncombe, Estimating the Cost of an Adequate Education in New York, Center for Policy Research Working Paper #44 (Syracuse, NY: Maxwell School of Citizenship and Public Affairs, Syracuse University, 2002), available at http:/www.cpr.maxwell.syr.edu/cprwps/pdf/wp44.pdf.
76. A minor inconsistency in Figure 7 is that the intercept of the performance component of the model was not set to $o.
77. J. Augenblick, J. Myers, J. Silverstein, and A. Barkis, Calculation of the Cost of an Adequate Education in Kansas in 2000-2001 Using Two Different Analytic Approaches (Topeka, KS: Kansas Legislative Coordinating Council, 2001);
78. J. Augenblick and J. Myers, Calculation of the Cost of an Adequate Education in Maryland in 2000-2001 Using Two Different Analytic Approaches (Annapolis: Maryland Commission on Education Finance, Equity and Excellence, 2001);
79. J. Augenblick and I. Myers, Calculation of the Cost of an Adequate Education in Missouri Using the Professional Judgment and the Successful School Districts Approaches (Jefferson City: Missouri Education Coalition for Adequacy, 2003);
80. J. Augenblick and J. Myers, Calculation of the Cost of an Adequate Education in Nebraska in 2002-2003 Using the Professional Judgment Approach (Omaha, NE: Nebraska State Education Association, Greater Nebraska Schools Association, Lincoln Public Schools, Nebraska Association of School Boards, Nebraska Coalition for Educational Equity and Adequacy, Nebraska Council of School Administrators, Nebraska Rural Communities Association, Omaha Public Schools, Westside Community Schools, 2003);
81. Augenblick, Palaich and Associates, Calculation of the Cost of an Adequate Education in North Dakota in 2002-03 using the Professional Judgment Approach (Bismarck: North Dakota Department of Public Instruction, 2003).
82. Alexander et al., Study of Uncontrollable Variations.
83. Duncombe, Estimating the Cost of an Adequate Education in New York.
84. Recently released estimates from a report to the Texas Joint Committee on Public School Finance are somewhat more moderate, finding poverty weights around 30%. Available at http://www.capitol.state.tx.us/psf/Reports/ School%20Outcomes%20and%20School%20Costs.pdf, Slide 42.
85. Recently released estimates from a report to the Texas Joint Committee on Public School Finance are somewhat more moderate, finding limited English proficiency weights around 20%. Available at http://www.capitol.state.tx.us/psf/ Reports/School%2oOutcomes%20and%20School%20Costs.pdf, Slide 42.
86. I made this choice primarily because I was granted access (via court order in Montoy v. Kansas) to more precise outcome data than the Center for Educational Testing at the University of Kansas was willing to release to Duncombe and Johnston. The use of the student-level testing data appeared to increase the sensitivity of the cost function to costs in higher-need midsized rural towns, an effect that did not arise in the Duncombe and Johnston cost function. Estimates for larger urban high-poverty districts are similar across the two cost functions, and scale effects to small remote rural districts are also quite similar.
87. Augenblick et al., Calculation of the Cost of an Adequate Education in Kansas.
88. A cost index is generated from the Augenblick and Myers report by using their base cost and pupil weights to estimate adequate aid allocations for all Kansas districts, then dividing those aid allocations by the median allocation. An index-implicit cost index-of the current formula allocation is derived via the same method.
89. L. Taylor and H. Keller, "Competing Perspectives on the Cost of Education," in Developments in School Finance: 2001-02, NCES 2003-403, ed. W. Fowler (Washington, DC: National Center for Education Statistics, 2003): 127-154.