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Trial Title Discontinuous Labour Supply and Wage Bunching on an Online Labor Market. Left-digit Bias in Wage Perceptions and Labor Supply in an Online Labor Market
Abstract Randomize wages for census image classification task to estimate discontinuous labor supply elasticities at round numbers ( in particular at 10 cents, to test for left-digit bias). We also aim to replicate the upward sloping labor supply functions to a given task estimated in Horton et al (2011). We randomize wages for census image classification task to estimate discontinuous labor supply elasticities at round numbers---in particular at 10 cents, to test for left-digit bias. We also aim to replicate the upward sloping labor supply functions to a given task estimated in Horton et al (2011).
Last Published July 06, 2016 12:52 AM March 01, 2017 01:32 PM
Experimental Design (Public) We will post a total of 5,500 unique HITS on MTurk tasks for $0.10 that includes a brief survey and a screening task, where respondents view a digital image of a historical slave census schedule from 1850 or 1860, and answer whether they see markings in the “fugitives” column. Some respondents are offered a choice of completing an additional set of classification tasks for a specific wage. We will post a total of 5,500 unique HITS on MTurk tasks for $0.10 that includes a brief survey and a screening task, where respondents view a digital image of a historical slave census schedule from 1850 or 1860, and answer whether they see markings in the “fugitives” column. Some respondents are offered a choice of completing an additional set of classification tasks for a specific wage. Extension: we have also run a version of this experiment with a recipe tagging task, at 90, 99, 100, 101, and 110 cents.
Planned Number of Clusters 5500 5500 400 for extension
Planned Number of Observations 5500 5500 400 for extension
Sample size (or number of clusters) by treatment arms 5500 5500 400 for extension
Intervention (Hidden) Randomize rate for tagging historical census images. We aim to assess the left-digit bias in wage perceptions experimentally by randomizing the offered wages for HITs on MTurk by randomizing a wage offer for a HIT to vary between $0.05 and $0.15, and assessing whether there is a jump in the acceptance probability between $0.09 and $0.10 as would be predicted by a left-digit bias. Randomize rate for tagging historical census images. We aim to assess the left-digit bias in wage perceptions experimentally by randomizing the offered wages for HITs on MTurk by randomizing a wage offer for a HIT to vary between $0.05 and $0.15, and assessing whether there is a jump in the acceptance probability between $0.09 and $0.10 as would be predicted by a left-digit bias. Extension: we also run a version of this experiment with a recipe tagging task, at 90, 99, 100, 101, and 110 cents. The analysis remains the same as the previous experiment.
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