An Alternative Interpretation of Freedman's Nonresponse Case Study
Bibliographic Data
| ID | 19420184 |
|---|---|
| Authors | R Kirk Steinhorst (University of Idaho), C Randall Byers, Celina Byers (University of Idaho) |
| Year | 1989 |
| Volume | 7 |
| Issue | 1 |
| Pages | 27-28 |
| Publication date | 1989-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Business and Economic Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07350015.1989.10509707 |
| OpenAlex | W2015328681 |
| Language | EN |
| References cited | 6 |
Further analysis of the response–nonresponse data presented by Freedman (1986) shows evidence of a nonresponse bias. Covariates can be useful in comparing respondents with nonrespondents; however, we argue that they were not effective in this case. Follow-up sampling would provide stronger evidence concerning the similarity of the two groups
Covariate · Econometrics · Economics · Freedman · Geography · Missing data · Non-response bias · Statistics · Computer Science · Mathematics · Psychology · Survey Methodology and Nonresponse · Artificial Intelligence
| Highly cited | No |
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