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Trial Title Experimenter Effects in Experimental Program Evaluation Evaluating a Free LED Lighting Program
Abstract Are experimental program evaluation studies robust to experimenter effects? Across different recruitment waves, we study this question in the context of a free LED lighting study. Across different recruitment waves, we study a free LED lighting study.
Last Published August 02, 2019 03:30 PM August 08, 2019 08:45 PM
Intervention (Public) Recruitment intervention: Recruitment wave 1: Households will be recruited for a free LED lighting study at their home. Recruitment will be randomly varied across two dimensions. First, whether participants receive a $10 incentive or not. Second, whether a household can opt-out of the study by checking a box on a warning given to them regarding the study. Recruitment wave 2: Households will be recruited for a free LED lighting study on Amazon Mechanical Turk. Recruitment will be randomly varied across one dimension. Participants will either be told their participation would be a favor to the study or not. Program intervention: A free LED lighting program that gives recipients 8 free LED light bulbs
Primary Outcomes (End Points) Recruitment wave 1: Door answer, study participation, and energy usage (all hours and evening hours, 6pm to Midnight) Recruitment wave 2: Study participation and energy usage (all hours and evening hours, 6pm to Midnight) Energy usage
Primary Outcomes (Explanation) Recruitment wave 1: Door answer, study participation, and energy usage (all hours and evening hours, 6pm to Midnight) Recruitment wave 2: Study participation and energy usage (all hours and evening hours, 6pm to Midnight)
Power calculation: Minimum Detectable Effect Size for Main Outcomes Recruitment wave 1 will be powered to observe the door answer effect observed in DellaVigna, List, and Malmendier (2012). Recruitment wave 2 will be powered to observe the strong demand effect in de quidt, Haushofer, and Roth (2018). Across both recruitment waves, simulations suggest this study will be powered to detect a 0.07 kWh effect of the LED lighting program during evening hours. Recruitment wave 1 will be powered to detect the effect found in DellaVigna, List, and Malmendier (2012). Recruitment wave 2 will be powered to observe the effect in de quidt, Haushofer, and Roth (2018). Across both recruitment waves, simulations suggest this study will be powered to detect a 0.07 kWh effect of the LED lighting program during evening hours.
Intervention (Hidden) Recruitment intervention: Recruitment wave 1: Households will be recruited for a free LED lighting study at their home. Recruitment will be randomly varied across two dimensions. First, whether participants receive a $10 incentive or not. Second, whether a household can opt-out of the study by checking a box on a warning given to them regarding the study. Recruitment wave 2: Households will be recruited for a free LED lighting study on Amazon Mechanical Turk. Recruitment will be randomly varied across one dimension. Participants will either be told their participation would be a favor to the study or not. Program intervention: A free LED lighting program that gives recipients 8 free LED light bulbs
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