Logistic Propensity Models to Adjust for Nonresponse in Physician Surveys.

Looks at the advantages of using a different number of weighting cells or propensity scores to adjust for nonresponse in the Community Tracking Study physician survey. Finds a large difference between the two methods in their ability to reduce bias and produce variation in weights.

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Year of publication:	2002-08-30
Authors:	Diaz-Tena, Nuria ; Potter, Frank ; Sinclair, Michael ; Williams, Stephen
Institutions:	Mathematica Policy Research
Subject:	Nonresponse \| weighting \| Propensity Modeling \| Weighting Classes \| Community Trackiing Study \| Physician Surveys

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Extent:	application/pdf
Series:	Mathematica Policy Research Reports.
Type of publication:	Book / Working Paper
Notes:	6 pages long
Classification:	C - Mathematical and Quantitative Methods
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010923685