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Using unobtrusive sensors to measure and minimize Hawthorne effects: Evidence from cookstoves

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  • Simons, Andrew M.
  • Beltramo, Theresa
  • Blalock, Garrick
  • Levine, David I.
Abstract
People act differently when they know they are being observed. This phenomenon, the Hawthorne effect, can bias estimates of program impacts. Unobtrusive sensors substituting for human observation can alleviate this bias. To demonstrate this potential, we used temperature loggers to measure fuel-efficient cookstoves as a replacement for three-stone fires. We find a large Hawthorne effect: when in-person measurement begins, participants increase fuel-efficient stove use approximately three hours/day (53%) and reduce three-stone fire use by approximately two hours/day (29%). When in-person measurement ends, participants reverse those changes. We then examine how this Hawthorne effect biases estimates of fuel use and pollution concentrations. Our results reinforce concerns about Hawthorne effects, especially in policy-relevant impact evaluations. By measuring the Hawthorne effect we permit researchers to correct for the bias it introduces.

Suggested Citation

  • Simons, Andrew M. & Beltramo, Theresa & Blalock, Garrick & Levine, David I., 2017. "Using unobtrusive sensors to measure and minimize Hawthorne effects: Evidence from cookstoves," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 68-80.
  • Handle: RePEc:eee:jeeman:v:86:y:2017:i:c:p:68-80
    DOI: 10.1016/j.jeem.2017.05.007
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    3. Kar, Abhishek & Brauer, Michael & Bailis, Rob & Zerriffi, Hisham, 2020. "The risk of survey bias in self-reports vs. actual consumption of clean cooking fuels," World Development Perspectives, Elsevier, vol. 18(C).
    4. Grabher, Harald F. & Erb, Karlheinz & Singh, Simron & Haberl, Helmut, 2024. "Household energy systems based on biomass: Tracing material flows from source to service in rural Ethiopia," Ecological Economics, Elsevier, vol. 217(C).
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    6. Simons, Andrew M., 2020. "Making Business Statistics Come Alive: Incorporating Field Trial Data from a Cookstove Study into the Classroom," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 2(3), July.
    7. Jack, B. Kelsey, 2017. "Environmental economics in developing countries: An introduction to the special issue," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 1-7.

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    More about this item

    Keywords

    Q56; O13; I32; O22; D01; Observation bias; Hawthorne effect; Sensors; Improved cookstoves; Monitoring and evaluation; Impact evaluation;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles

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