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Abstract In recent years, individuals began producing air quality data (AQD) by purchasing and using air quality sensors. At a low cost to adopters, this technology can inform individual decision-making (e.g. air pollution adaptations) with real-time AQD and contribute AQD to publicly available maps. Recent research shows that socioeconomic status predicts air quality sensor adoption, potentially exacerbating existing spatial inequalities in AQD and health damages from air pollution. However, willingness to pay for this technology and its usage patterns are not yet well understood, in particular among different socioeconomic groups. We conduct a field experiment in a socioeconomically heterogeneous, high pollution setting in the United States to evaluate the adoption and use of low-cost air quality sensors. In recent years, individuals began producing air quality data (AQD) by purchasing and using air quality sensors. At a low cost to adopters, this personalized, real-time AQD can inform individual decision-making (e.g. air pollution responses) and contribute to publicly available pollution maps. Recent research shows that socioeconomic status predicts air quality sensor adoption, potentially exacerbating existing spatial inequalities in AQD and health damages from air pollution. However, willingness to pay for this technology and its usage patterns are not yet well understood, in particular among different socioeconomic groups. We conduct a field experiment in a socioeconomically heterogeneous, high pollution setting in the United States to evaluate the adoption and use of low-cost air quality sensors.
Trial End Date March 31, 2023 October 31, 2023
Last Published October 31, 2022 03:42 PM March 31, 2023 04:13 PM
Intervention End Date March 31, 2023 October 31, 2023
Experimental Design (Public) We conduct a field study that randomly assigns households to three treatments: 1) willingness to pay elicitation type, 2) sensor offer, and 3) financial sensor use incentives. We conduct a field study that randomly assigns households to two treatments: 1) willingness to pay elicitation type and 2) sensor offer price.
Randomization Unit We randomize at the individual level (WTP elicitation type and offers) and at the price group level (incentives). We randomize at the individual level (WTP elicitation type and offer level).
Sample size (or number of clusters) by treatment arms Approximately 50 individuals free sensor without incentives, Approximately 50 individuals free sensor with incentives, Approximately 150 individuals low price without incentives, Approximately 150 individuals low price with incentives, Approximately 150 individuals medium price without incentives, Approximately 150 individuals medium price with incentives, Approximately 150 individuals high price without incentives, Approximately 150 individuals high price with incentives Approximately 50 individuals free sensor with hypothetical WTP question, Approximately 50 individuals free sensor with MPL questions, Approximately 150 individuals low price with hypothetical WTP question, Approximately 150 individuals low price with MPL questions, Approximately 150 individuals medium price with hypothetical WTP question, Approximately 150 individuals medium price with MPL questions, Approximately 150 individuals high price with hypothetical WTP question, Approximately 150 individuals high price with MPL questions
Keyword(s) Behavior Behavior, Environment And Energy
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