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Regression Modeling and Meta-Analysis for Decision Making

A Cost-Benefit Analysis of Incentives in Telephone Surveys

Datos Bibliográficos

ID19419968
AutoresAndrew Gelman (0000-0002-6975-2601, Columbia University), Matt Stevens, M P Stevens (Columbia University), Valerie Chan, Valerie Ann Chan (Columbia University)
Año2003
Volumen21
Número2
Páginas213-225
Fecha de publicación2003-04-01
Open AccessNo
TipoARTICLE
RevistaJournal of Business and Economic Statistics (JOURNAL)
Identificadores de la revistaISSN: 0735-0015 • E-ISSN: 1537-2707
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1198/073500103288618909
OpenAlexW2083022091
IdiomaEN
Citas recibidas7
Referencias citadas6

Regression models are often used, explicitly or implicitly, for decision making. However, the choices made in setting up the models (e.g., inclusion of predictors based on statistical significance) do not map directly into decision procedures. Bayesian inference works more naturally with decision analysis but presents problems in practice when noninformative prior distributions are used with sparse data. We do not attempt to provide a general solution to this problem, but rather present an application of a decision problem in which inferences from a regression model are used to estimate costs and benefits. Our example is a reanalysis of a recent meta-analysis of incentives for reducing survey nonresponse. We then apply the results of our fitted model to the New York City Social Indicators Survey, a biennial telephone survey with a high nonresponse rate. We consider the balance of estimated costs, cost savings, and response rate for different choices of incentives. The explicit analysis of the decision problem reveals the importance of interactions in the fitted regression model.KEY WORDS: Decision analysisHierarchical linear regressionMeta-analysisSurvey nonresponse

Bayesian inference · Bayesian probability · Decision analysis · Decision rule · Econometrics · Economics · Inference · Machine learning · Regression analysis · Statistical inference · Statistics · Computer Science · Economic and Environmental Valuation · Mathematics · Statistical Methods and Bayesian Inference · Survey Methodology and Nonresponse · Artificial Intelligence

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Citas por año0,35
Intervalo de citas2006 - 2026 (21)
Altamente citadoNo
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