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Field
Abstract
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Before
How do first-time workers make choices about jobs? We partner with the UMass Boston Career Center and the UC Berkeley Career Center to conduct a survey of the senior graduating Classes of 2025 and 2026. Using hypothetical firm-choice experiments, we examine how students trade off first-job salaries with other human capital investments.
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After
How do early career workers make choices about jobs? We run a Prolific survey and partner with the UMass Boston Career Center to conduct a study on early-career job choice. Using hypothetical firm-choice experiments, we examine how workers trade off first-job salaries with other human capital investments.
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Last Published
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Before
October 27, 2025 06:15 AM
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After
April 07, 2026 12:34 AM
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Experimental Design (Public)
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Before
We partner with the UMass Boston Career Center and the UC Berkeley Career Center to conduct a survey of the senior graduating Classes of 2025 and 2026. Using hypothetical firm-choice experiments, we examine how students trade off first-job salaries with other human capital investments.
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After
We conduct a Prolific survey of early-career workers aged 18-26. Using hypothetical firm-choice experiments, we examine how students trade off first-job salaries with other human capital investments. We additionally partner with the UMass Boston Career Center to survey the senior graduating Classes of 2025 and 2026.
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Planned Number of Clusters
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Before
We plan to survey at least 1000 individuals, across 2 schools. If we do not attain enough individuals across the two schools, we are considering expanding the survey to other schools in the University of Massachusetts and University of California system.
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After
We plan to survey 2000 participants on Prolific and 500 participants in the University of Massachusetts system.
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Planned Number of Observations
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Before
1000 individuals
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After
2500 individuals
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Sample size (or number of clusters) by treatment arms
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Before
1000 individuals, split 500/500 into the AI treatment vs. not.
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After
2500 individuals, split 50/50 into the AI treatment vs. not.
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Power calculation: Minimum Detectable Effect Size for Main Outcomes
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Before
With 1000 individuals, assuming 80% power and 5% statistical significance, our minimum detectable effect size is 0.18 of a standard deviation.
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After
With 2500 individuals, assuming 80% power and 5% statistical significance, our minimum detectable effect size is 0.11 of a standard deviation.
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