Regression Modeling and Meta-Analysis for Decision Making
A Cost-Benefit Analysis of Incentives in Telephone Surveys
Datos Bibliográficos
| ID | 19419968 |
|---|---|
| Autores | Andrew Gelman (0000-0002-6975-2601, Columbia University), Matt Stevens, M P Stevens (Columbia University), Valerie Chan, Valerie Ann Chan (Columbia University) |
| Año | 2003 |
| Volumen | 21 |
| Número | 2 |
| Páginas | 213-225 |
| Fecha de publicación | 2003-04-01 |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Journal of Business and Economic Statistics (JOURNAL) |
| Identificadores de la revista | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1198/073500103288618909 |
| OpenAlex | W2083022091 |
| Idioma | EN |
| Citas recibidas | 7 |
| Referencias citadas | 6 |
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
Multilevel (Hierarchical) Modeling
How Much Gets You How Much? Monetary Incentives and Response Rates in Household Surveys
Monetary Incentives in Large-Scale Face-to-Face Surveys
Are Incentive Effects on Response Rates and Nonresponse Bias in Large-scale, Face-to-face Surveys Generalizable to Germany? Evidence from Ten Experiments
Can Incentive Effects in Web Surveys Be Generalized to Non-Western Countries? Conditional and Unconditional Cash Incentives in a Web Survey of Ghanaian University Students
Examining Variation in Survey Costs Across Surveys
The Use and Effects of Incentives in Surveys
| Citas por año | 0,35 |
|---|---|
| Intervalo de citas | 2006 - 2026 (21) |
| Altamente citado | No |