Skip to main content

Call Me Maybe: Experimental Evidence on Using Mobile Phones to Survey Microenterprises

Publication ,  Journal Article
Garlick, RJ; Orkin, K; Quinn, S
Published in: Economic Research Initiatives at Duke (ERID)
July 27, 2016

High-frequency data is useful to measure volatility, reduce recall bias, and measure dynamic treatment effects. We conduct the first experimental evaluation of high-frequency phone surveys in a developing country or with microenterprises. We randomly assign microenterprise owners to monthly in-person, weekly in-person, or weekly phone interviews. We find high-frequency phone surveys are useful and accurate. Phone and in-person surveys yield similar measurements, with few large or significant differences in reported outcome means or distributions. Neither interview frequency nor medium affects reported outcomes in a common in-person endline. Phone surveys reduce costs without increasing permanent attrition from the panel.

Duke Scholars

Published In

Economic Research Initiatives at Duke (ERID)

Publication Date

July 27, 2016

Issue

224
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Garlick, R. J., Orkin, K., & Quinn, S. (2016). Call Me Maybe: Experimental Evidence on Using Mobile Phones to Survey Microenterprises. Economic Research Initiatives at Duke (ERID), (224).
Garlick, R. J., K. Orkin, and S. Quinn. “Call Me Maybe: Experimental Evidence on Using Mobile Phones to Survey Microenterprises.” Economic Research Initiatives at Duke (ERID), no. 224 (July 27, 2016).
Garlick RJ, Orkin K, Quinn S. Call Me Maybe: Experimental Evidence on Using Mobile Phones to Survey Microenterprises. Economic Research Initiatives at Duke (ERID). 2016 Jul 27;(224).
Garlick, R. J., et al. “Call Me Maybe: Experimental Evidence on Using Mobile Phones to Survey Microenterprises.” Economic Research Initiatives at Duke (ERID), no. 224, July 2016.
Garlick RJ, Orkin K, Quinn S. Call Me Maybe: Experimental Evidence on Using Mobile Phones to Survey Microenterprises. Economic Research Initiatives at Duke (ERID). 2016 Jul 27;(224).

Published In

Economic Research Initiatives at Duke (ERID)

Publication Date

July 27, 2016

Issue

224