WORKING PAPER

Familiar Faces, Honest Answers? The Impacts of Enumerator Familiarity and Modality on Survey Responses

by
Travis Baseler
,
Lipeng Chen
and
September 01, 2026

Survey data can be distorted through mistrust, discomfort, or demand effects on the part of respondents. We test whether familiar enumerators—those with whom a respondent has completed a prior survey—influence data quality in a panel survey with small business owners in Uganda. We randomly assign respondents to a familiar or a new enumerator and cross-cut a second randomization to an in-person or phone-based interview modality. Across a broad set of outcome types, we observe few impacts of either survey method on means, distributions, or attrition. However, respondents are significantly more likely to give socially desirable answers to new surveyors compared to familiar ones. The effect of familiarity does not interact significantly with a prior experiment conducted with the same sample, suggesting that familiarity influences estimates of levels but not of treatment impacts. These findings suggest that surveys by familiar enumerators can improve the measurement of sensitive beliefs.

This paper is forthcoming in the Journal of Development Economics. This version is the preprint.

Topics

CITATION

Baseler, Travis, Lipeng Chen, and Thomas Ginn. 2026. Familiar Faces, Honest Answers? The Impacts of Enumerator Familiarity and Modality on Survey Responses. Center for Global Development.

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