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

Bruce D Spencer

doi:10.1177/0193841X8500900408

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

Bruce D Spencer

Statistics

Research output: Contribution to journal › Article

1 Scopus citations

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.

Original language	English
Pages (from-to)	511-518
Journal	Evaluation Review
Volume	9
DOIs	https://doi.org/10.1177/0193841X8500900408
State	Published - 1985

Access to Document

10.1177/0193841X8500900408

Fingerprint Dive into the research topics of 'Avoiding Bias in Estimates of the Effect of Data Error on Allocations of Public Funds'. Together they form a unique fingerprint.

Cite this

Spencer, B. D. (1985). Avoiding Bias in Estimates of the Effect of Data Error on Allocations of Public Funds. Evaluation Review, 9, 511-518. https://doi.org/10.1177/0193841X8500900408

@article{1ccc485b9a114665994568673aec9b88,

title = "Avoiding Bias in Estimates of the Effect of Data Error on Allocations of Public Funds",

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.",

author = "Spencer, {Bruce D}",

year = "1985",

doi = "10.1177/0193841X8500900408",

language = "English",

volume = "9",

pages = "511--518",

journal = "Evaluation Review",

issn = "0193-841X",

publisher = "SAGE Publications Inc.",

}

TY - JOUR

T1 - Avoiding Bias in Estimates of the Effect of Data Error on Allocations of Public Funds

AU - Spencer, Bruce D

PY - 1985

Y1 - 1985

N2 - 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.

AB - 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.

U2 - 10.1177/0193841X8500900408

DO - 10.1177/0193841X8500900408

M3 - Article

VL - 9

SP - 511

EP - 518

JO - Evaluation Review

JF - Evaluation Review

SN - 0193-841X

ER -