Air Pollution and Labor
Last registered on August 13, 2019

Pre-Trial

Trial Information
General Information
Title
Air Pollution and Labor
RCT ID
AEARCTR-0004578
Initial registration date
August 13, 2019
Last updated
August 13, 2019 5:06 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
University of Ottawa
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2019-08-14
End date
2019-12-31
Secondary IDs
Abstract
This experiment will test the effects of air pollution on labor supply. We will measure both the external margin and internal margins.
External Link(s)
Registration Citation
Citation
Cook, Nikolai. 2019. "Air Pollution and Labor." AEA RCT Registry. August 13. https://doi.org/10.1257/rct.4578-1.0.
Experimental Details
Interventions
Intervention(s)
Please refer to hidden intervention field.
Intervention Start Date
2019-08-14
Intervention End Date
2019-08-21
Primary Outcomes
Primary Outcomes (end points)
The primary outcome variable for this experiment is external margin. When treated, are subjects less likely to take the experimenter's up on an employment offer? The second outcome for this experiment is the internal margin. Given that a worker chooses to continue, how well do they complete the task they are assigned. We will measure both attempts and accuracy.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
We will employ text analysis on subject's journals.
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Please see the hidden field.
Experimental Design Details
In this study, we begin by taking subject demographics. Then we will expose subjects to 10 images (media) of polluted (treatment) or clean (control) cities. The images are drawn from Lu et al. 2018, "Polluted morality: Air pollution predicts criminal activity and unethical behavior". Subjects are asked to correctly identify the subject and conditions of the images. Subjects are then asked to journalize a hypothetical experience in the pictured city. Subjects then are offered the opportunity for a lucrative real effort task. If subjects decline, they fill an STAI followed by two subjective air pollution questions. Once completed subjects who opted out will be given a code to submit to mechanical turk for payment. However, if subjects accept, they are then made aware of the nature of their assigned RET task. The RET will either be transcription of character strings (routine task) or summations of sums (cognitive task). We record the attempts as well as the score. After completion, they will fill the same STAI and subjective air pollution questions. They will then be given a code to submit to MT for payment.
Randomization Method
Randomization by computer.
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
2000
Sample size: planned number of observations
2000
Sample size (or number of clusters) by treatment arms
2X2 design. 500 to each.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
GPower. Two Tailed Test. d=0.15, a=0.05, B=0.90. N = 1870.
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of Ottawa
IRB Approval Date
2019-08-10
IRB Approval Number
S-06-18-796
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports and Papers
Preliminary Reports
Relevant Papers