The Impact of Enhanced Air Pollution Awareness on Defensive Actions and the Demand for Clean Air
Last registered on October 04, 2019

Pre-Trial

Trial Information
General Information
Title
The Impact of Enhanced Air Pollution Awareness on Defensive Actions and the Demand for Clean Air
RCT ID
AEARCTR-0004742
Initial registration date
October 03, 2019
Last updated
October 04, 2019 11:53 AM EDT
Location(s)

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Primary Investigator
Affiliation
University of Chicago
Other Primary Investigator(s)
PI Affiliation
University of Chicago
PI Affiliation
University of Chicago
Additional Trial Information
Status
In development
Start date
2019-10-04
End date
2020-09-30
Secondary IDs
Abstract
The residents of Delhi, India face some of the highest concentrations of air pollution in the world. Yet it has been fairly uncommon to observe people defending themselves against the harmful effects of air pollution. Although air quality has recently emerged as a political priority, anecdotal evidence suggests that demand for clean air remains low. A potential explanation for low demand is lack of awareness about both pollution and its long-term health impacts. In this proposed experiment, we randomly assign (a) indoor air-quality sensors, (b) information about the health impacts of air pollution and common defensive tactics, (c) peer comparisons, and (d) novel air purifier rental contracts across roughly 3,000 households across Delhi. The experimental design will allow us to estimate the causal impact of enhancing air pollution awareness on the willingness-to-pay for clean air.
External Link(s)
Registration Citation
Citation
Greenstone, Michael, Ken Lee and Harshil Sahai. 2019. "The Impact of Enhanced Air Pollution Awareness on Defensive Actions and the Demand for Clean Air." AEA RCT Registry. October 04. https://doi.org/10.1257/rct.4742-1.0.
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Experimental Details
Interventions
Intervention(s)
Planned interventions include: (a) installation of indoor air-quality sensors; (b) providing educational materials about the health impacts of air pollution and common defensive tactics; (c) presenting home air quality reports and peer comparisons; and (d) providing novel opportunities to rent air purifiers.
Intervention Start Date
2019-10-04
Intervention End Date
2020-04-30
Primary Outcomes
Primary Outcomes (end points)
Key outcome variables include: (a) average indoor air quality; (b) defensive attitudes and behaviors; (c) defensive investments; (d) willingness-to-pay for clean air.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
In the proposed experiment, we will randomly assign (a) indoor air-quality sensors, (b) information about the health impacts of air pollution and common defensive tactics, (c) peer comparisons, and (d) air purifier rental contracts.
Experimental Design Details
Not available
Randomization Method
Randomization on a computer.
Randomization Unit
Neighborhood blocks (clusters).
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
300 neighborhood blocks
Sample size: planned number of observations
3,000 households
Sample size (or number of clusters) by treatment arms
3,000 households (10 households per cluster) will be randomly assigned into one of 12 cells.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
The University of Chicago Social and Behavioral Sciences IRB
IRB Approval Date
2019-10-03
IRB Approval Number
IRB19-1444