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A statistical theory of overconfidence is proposed and applied to the issue of occupational choice. Individuals who can choose whether to engage in an activity or not must estimate their performance. The estimates have error and that error has positive expectation among those who engage in the activity. As a result, an unbiased ex ante estimate of performance in an occupatoin results in an ex post biased estimate of ability among those enter. The statistical theory of overconfidence provides a number of testable implications, most significant of which is that overconfidence should be more prevalent in occupations where estimates of ability are noisier. This and other implications are tested and found to hold using the Current Population Survey and Panel Study of Income Dynamics data.
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A model of hiring into posted job slots suggests hiring is based on comparative advantage: being hired depends not only on one's own skill but also on the skills of other applicants. The model has numerous implications. First, bumping of applicants occurs when one job-seeker is slotted into a lower paying job by another applicant who is more skilled. Second, less able workers are more likely to be unemployed because they are bumped. Third, vacancies are higher for harder to fill skilled jobs. Fourth, some workers are over-qualified for their jobs whereas others are under-qualified. These implications are borne out using four different data sets.
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A statistical theory of overconfidence is proposed and applied to the issue of occupational choice. Individuals who can choose whether to engage in an activity or not must estimate their performance. The estimates have error and that error has positive expectation among those who engage in the activity. As a result, an unbiased ex ante estimate of performance in an occupatoin results in an ex post biased estimate of ability among those enter. The statistical theory of overconfidence provides a number of testable implications, most significant of which is that overconfidence should be more prevalent in occupations where estimates of ability are noisier. This and other implications are tested and found to hold using the Current Population Survey and Panel Study of Income Dynamics data.
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A model of hiring into posted job slots suggests hiring is based on comparative advantage: being hired depends not only on one's own skill but also on the skills of other applicants. The model has numerous implications. First, bumping of applicants occurs when one job-seeker is slotted into a lower paying job by another applicant who is more skilled. Second, less able workers are more likely to be unemployed because they are bumped. Third, vacancies are higher for harder to fill skilled jobs. Fourth, some workers are over-qualified for their jobs whereas others are under-qualified. These implications are borne out using four different data sets.
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