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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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References

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Brown, P.S. 2002 Impact of Title I formula factors on school year 2000-01 state allocations. Journal of Official Statistics Special Issue (September):441-464.

Burnam, M.A., P. Reuter, J.L. Adams, A.R. Palmer, K.E. Model, J.E. Rolph, J.Z. Heilbrunn, G.N. Marshall, D. McCaffrey, S.L. Wenzel, and R.C. Kessler 1997 Review and Evaluation of the Substance Abuse and Mental Health Services Block Grant Allotment Formula. RAND Drug Policy Research Center, MR-533-HHS. Santa Monica, CA: RAND.


Czajka, J.L., and T.B. Jabine 2002 Using survey data to allocate federal funds for the State Children’s Health Insurance Program (SCHIP). Journal of Official Statistics Special Issue (September):409-428.


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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Downes, T.A., and T.F. Pogue 1994 Accounting for fiscal capacity and need in the design of school aid formulas. In Fiscal Equalization for State and Local Government Finance, J.E. Anderson, ed. New York: Praeger Publishers.

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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Page 91
Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Page 93
Suggested Citation:"References." National Research Council. 2003. Statistical Issues in Allocating Funds by Formula. Washington, DC: The National Academies Press. doi: 10.17226/10580.
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Page 94
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In 2000, the federal government distributed over $260 billion of funding to state and local governments via 180 formula programs. These programs promote a wide spectrum of economic and social objectives, such as improving educational outcomes and increasing accessibility to medical care, and many are designed to compensate for differences in fiscal capacity that affect governments’ abilities to address identified needs. Large amounts of state revenues are also distributed through formula allocation programs to counties, cities, and other jurisdictions. Statistical Issues in Allocating Funds by Formula identifies key issues concerning the design and use of these formulas and advances recommendations for improving the process. In addition to the more narrow issues relating to formula design and input data, the book discusses broader issues created by the interaction of the political process and the use of formulas to allocate funds.

Statistical Issues in Allocating Funds by Formula is only up-to-date guide for policymakers who design fund allocation programs. Congress members who are crafting legislation for these programs and federal employees who are in charge of distributing the funds will find this book indispensable.

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