2011
DOI: 10.1073/pnas.1000776108
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Being surveyed can change later behavior and related parameter estimates

Abstract: Does completing a household survey change the later behavior of those surveyed? In three field studies of health and two of microlending, we randomly assigned subjects to be surveyed about health and/or household finances and then measured subsequent use of a related product with data that does not rely on subjects' selfreports. In the three health experiments, we find that being surveyed increases use of water treatment products and take-up of medical insurance. Frequent surveys on reported diarrhea also led … Show more

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Cited by 232 publications
(184 citation statements)
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“…The use of LP and monthly outcome measurements is further constraint as the authors illustrate the need to considerably increase sample size maintaining the same power of the study [36]. We concur with Zwane and colleagues that frequent contacts and measurements may influence illness reporting and, thus, potentially bias intervention effects [42]. However, given the features of our interventions and household surveillance in both study arms we believe that any potentially resulting bias will be balanced.…”
Section: Discussionsupporting
confidence: 52%
“…The use of LP and monthly outcome measurements is further constraint as the authors illustrate the need to considerably increase sample size maintaining the same power of the study [36]. We concur with Zwane and colleagues that frequent contacts and measurements may influence illness reporting and, thus, potentially bias intervention effects [42]. However, given the features of our interventions and household surveillance in both study arms we believe that any potentially resulting bias will be balanced.…”
Section: Discussionsupporting
confidence: 52%
“…Additionally, the implementers remained programmatically engaged with communities throughout the study. This could have influenced household behaviours and responses McCarney et al, 2007;Zwane et al, 2011). There was also high attrition in this study (12.6%), particularly among the intervention arm (19.5%).…”
Section: Discussionmentioning
confidence: 95%
“…In particular, it is difficult to know whether declines in self-reported measures of protective behaviors across the entire sample were the result of seasonal adjustments or some other factors. 19 Our DiD approach is likely, however, to sweep out biases arising from misclassification in the self-reports. In addition, our study does not provide data on the extent to which behavior change led to measurable improvements in water quality, which others have shown to be more difficult.…”
Section: Discussionmentioning
confidence: 99%