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Call Me Maybe: Experimental Evidence on Frequency and Medium Effects in Microenterprise Surveys

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  • Robert Garlick
  • Kate Orkin
  • Simon Quinn

Abstract

This study analyzes the effects of differences in survey frequency and medium on microenterprise survey data. A sample of enterprises were randomly assigned to monthly in-person, weekly in-person, or weekly phone surveys for a 12-week panel. The results show few differences across the groups in measured means, distributions, and deviations of measured data from an objective data-quality standard provided by Benford’s Law. However, phone interviews generated higher within-enterprise variation through time in several variables and may be more sensitive to social desirability bias. Higher-frequency interviews did not lead to persistent changes in reporting or increase permanent attrition from the panel but did increase the share of missed interviews. These findings show that collecting high-frequency survey data by phone does not substantially affect data quality. However, researchers who are particularly interested in within-enterprise dynamics should exercise caution when choosing survey medium.

Suggested Citation

  • Robert Garlick & Kate Orkin & Simon Quinn, 2020. "Call Me Maybe: Experimental Evidence on Frequency and Medium Effects in Microenterprise Surveys," The World Bank Economic Review, World Bank, vol. 34(2), pages 418-443.
    • Handle: RePEc:oup:wbecrv:v:34:y:2020:i:2:p:418-443.
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    File URL: http://hdl.handle.net/10.1093/wber/lhz021
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    Cited by:

    1. Fiala, Nathan & Rose, Julian & Aryemo, Filder & Peters, Jörg, 2022. "The (very) long-run impacts of cash grants during a crisis," Ruhr Economic Papers 961, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Kalaj, Jozefina & Rogger, Daniel & Somani, Ravi, 2022. "Bureaucrat time-use: Evidence from a survey experiment," World Development, Elsevier, vol. 152(C).
    3. Elena Serfilippi & Daniele Giovannucci & David Ameyaw & Ankur Bansal & Thomas Asafua Nketsia Wobill & Roberta Blankson & Rashi Mishra, 2022. "Benefits and Challenges of Making Data More Agile: A Review of Recent Key Approaches in Agriculture," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    4. Kiss, Andrea & Garlick, Robert & Orkin, Kate & Hensel, Lukas, 2023. "Jobseekers' Beliefs about Comparative Advantage and (Mis)Directed Search," IZA Discussion Papers 16522, Institute of Labor Economics (IZA).
    5. Wang, Delu & Chen, Fan & Mao, Jinqi & Liu, Nannan & Rong, Fangyu, 2022. "Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries," Energy Economics, Elsevier, vol. 114(C).
    6. Abate, Gashaw T. & de Brauw, Alan & Hirvonen, Kalle & Wolle, Abdulazize, 2023. "Measuring consumption over the phone: Evidence from a survey experiment in urban Ethiopia," Journal of Development Economics, Elsevier, vol. 161(C).
    7. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    8. Monteiro Amaral,Sofia Fernando & Dinarte Diaz,Lelys Ileana & Dominguez,Patricio & Perez-Vincent,Santiago M. & Romero,Steffanny, 2022. "Talk or Text ? Evaluating Response Rates by Remote Survey Method during COVID-19," Policy Research Working Paper Series 9999, The World Bank.
    9. Ambler, Kate & Herskowitz, Sylvan & Maredia, Mywish K., 2021. "Rural Labor and Long Recall Loss," Staff Paper Series 316616, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    10. Beam, Emily A., 2022. "Social Media as a Recruitment and Data Collection Tool: Experimental Evidence on the Relative Effectiveness of Web Surveys and Chatbots," IZA Discussion Papers 15597, Institute of Labor Economics (IZA).
    11. Crawfurd, Lee & Evans, David K. & Hares, Susannah & Sandefur, Justin, 2023. "Live tutoring calls did not improve learning during the COVID-19 pandemic in Sierra Leone," Journal of Development Economics, Elsevier, vol. 164(C).
    12. Laurel Wheeler & Robert Garlick & Eric Johnson & Patrick Shaw & Marissa Gargano, 2022. "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 101-125, April.
    13. Beam, Emily A., 2023. "Social media as a recruitment and data collection tool: Experimental evidence on the relative effectiveness of web surveys and chatbots," Journal of Development Economics, Elsevier, vol. 162(C).
    14. Fiala, Nathan & Masselus, Lise, 2022. "Whom to ask? Testing respondent effects in household surveys," Ruhr Economic Papers 935, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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    Keywords

    survey methodology; microenterprises;

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