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Field
Primary Outcomes (End Points)
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Before
Number of acceptances, Number of complete rows entered, Number of correct rows entered, Uninterrupted time spent on the web portal, number of rows correctly entered/time spent actively working and number of rows correctly entered/time spent actively working, Self assessment of productivity, Adjustments made to schedule, difficulty in finding time for the task, room for oneself during the task, stopping for caring responsibility, self assessment of work experience.
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After
Number of acceptances, Number of complete cells entered, Number of correct cells entered, Uninterrupted time spent on the web portal, number of cells correctly entered/time spent actively working and number of cells correctly entered/time spent actively working, Number of complete rows entered, Number of correct rows entered, Uninterrupted time spent on the web portal, number of rows correctly entered/time spent actively working and number of rows correctly entered/time spent actively working, Self assessment of productivity, Adjustments made to schedule, difficulty in finding time for the task, room for oneself during the task, stopping for caring responsibility, self assessment of work experience.
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Field
Secondary Outcomes (End Points)
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Before
Cover letter length, work samples, experience measures (total prior contracts, total prior contracted hours, total prior earnings), counteroffer, underbids, overbids and hourly wage, Age, married, number of children, number of young children, spouse employment, full time status on the platform, fixed work hour schedule, responsibilities during the day and educational qualification.
Our primary interest of heterogeneity is by gender. We will look at heterogeneous effects by gender for all the variables. We will also look at heterogeneity by region and stated hourly wage level.
Other variables of interest are stated preference for flexibility, stated time preference, acceptance of an inflexible job, chose to answer the optional survey and employer niceness. For continuous outcome variables we will also use log transformations of the outcome variables.
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After
Cover letter length, work samples, experience measures (total prior contracts, total prior contracted hours, total prior earnings), counteroffer, underbids, overbids and hourly wage, Age, married, number of children, number of young children, spouse employment, full time status on the platform, fixed work hour schedule, responsibilities during the day and educational qualification. completion of the task in the first attempt (compliance) and completion of the survey.
Our primary interest of heterogeneity is by gender. We will look at heterogeneous effects by gender for all the variables. We will also look at heterogeneity by region and stated hourly wage level.
Other variables of interest are stated preference for flexibility, stated time preference, acceptance of an inflexible job, chose to answer the optional survey and employer niceness. For continuous outcome variables we will also use log transformations of the outcome variables.
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