A Resampling Analysis of Federal Family Assistance Program Quality Control Data

Michael L. Hand
Additional contact information
Michael L. Hand: Willamette University

Evaluation Review, 1990, vol. 14, issue 4, 391-410

Abstract: Federal quality control (QC) programs for the measurement of payment allocation errors in federally funded Family Assistance Programs have been at the center of a hot controversy. In 1986, Congress directed the Department of Health and Human Services to contract with the National Academy of Sciences to study these QC programs. The Academy's Panel on Quality Control of Family Assistance Programs has recently completed its work on the study. Existing federal QC methodology employs a two-phase sampling scheme, giving rise to a regression estimator of the allotment error rate. A key issue in the QC debate is the appropriateness of the regression estimator in view of marked departure of the QC data from the standard model-based conditions for linear regression -linearity, constancy of variance, and normality of error. In this study, we employ bootstrap resampling methods to investigate the effects of these departures on the efficiency of the regresscon estimator of the error rate. The analysis is based upon actual QC data from the Oregon Food Stamp Program.

Date: 1990
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0193841X9001400404 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:14:y:1990:i:4:p:391-410

DOI: 10.1177/0193841X9001400404

Access Statistics for this article

More articles in Evaluation Review
Bibliographic data for series maintained by SAGE Publications ().