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Avoiding Bias in Estimates of the Effect of Data Error on Allocations of Public Funds

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  • Bruce D. Spencer

    (Northwestern University)

Abstract

Commonly used techniques for estimating the effect of data error on fund allocations are biased because they fail to account for numerous sources of data error and for misspecification of the allocation formula itself. Alternative techniquesfor estimating the effect of data error are presented and applied to estimate the effect of census undercount on general revenue sharing allocations.

Suggested Citation

  • Bruce D. Spencer, 1985. "Avoiding Bias in Estimates of the Effect of Data Error on Allocations of Public Funds," Evaluation Review, , vol. 9(4), pages 511-518, August.
    • Handle: RePEc:sae:evarev:v:9:y:1985:i:4:p:511-518
    DOI: 10.1177/0193841X8500900408
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