Subject evaluation in social experiments.
This paper analyzes how self-interested subjects, as opposed to altruistic investigators, evaluate treatments in social experiments. We argue that the attrition behavior of subjects reveals their evaluation of treatments, and we discuss the usefulness of using such data in performing subject-based e...
| Publicado en: | Econometrica Vol. 66; no. 2; pp. 381 - 409 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
March 1998
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=512622800&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 512622800 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00129682 ECN jtl: Econometrica issn: 00129682 maglogo: N pubinfo: dt: March 1998 vid: 66 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 512622800 10.2307/2998563 ppf: 381 ppct: 28 formats: tig: atl: Subject evaluation in social experiments. aug: au: Philipson, Tomas J. Hedges, Larry V. su: Experimental economics Human research subjects Statistical hypothesis testing Econometrics Clinical trials sug: subj: Experimental economics Human research subjects Statistical hypothesis testing Econometrics Clinical trials ab: This paper analyzes how self-interested subjects, as opposed to altruistic investigators, evaluate treatments in social experiments. We argue that the attrition behavior of subjects reveals their evaluation of treatments, and we discuss the usefulness of using such data in performing subject-based evaluation. We examine the possible causes of disagreements between investigators and subjects in their evaluation of treatments, and empirically assess the extent to which they disagree. Given that disagreements between subject evaluation and evaluation done by investigators could be due to sampling error, this paper provides an empirical framework for estimating the systematic level of disagreement in the presence of such errors. We illustrate this framework by estimating the extent of disagreement in clinical trials, and we find substantial evidence of over-approval by investigators in about one-third of the trials analyzed. Reprinted by permission of the Econometric Society. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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