Temperature, Worker Productivity, and Adaptation: Evidence from Survey Data Production

Melissa LoPalo

American Economic Journal: Applied Economics, 2023, vol. 15, issue 1, 192-229

Abstract: This paper estimates the impact of daily weather on worker productivity by using household survey data to study interviewers. Using data from over 9,000 Demographic and Health Surveys interviewers in 46 countries, I find that interviewers complete 13.6 percent fewer interviews per hour on the hottest and most humid days. Workers maintain the same total output by starting earlier in the day and spending more time on each interview at the expense of spending more hours in the field with the same total pay. In addition, interviewers become differentially less productive on tasks that are less easily monitored.

JEL-codes: C83 J22 J24 J81 O12 Q54 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (26)

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DOI: 10.1257/app.20200547

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