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Title: How Bad is Occupational Coding Error? A Task-based Approach
Resulting in 1 citation.
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Speer, Jamin D. |
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How Bad is Occupational Coding Error? A Task-based Approach Economics Letters 141 (April 2016): 166-168. Also: http://www.sciencedirect.com/science/article/pii/S0165176516300544 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Mobility, Occupational; Occupational Choice; Occupational Information Network (O*NET); Research Methodology Studies of occupational choice and mobility are often plagued by rampant occupational coding error. Use of task-based occupation measures, such as O*Net, may mitigate the bias caused by coding error if the occupation is misclassified as an occupation similar to the true occupation. Measuring occupational changes in "task space," I find that task-based measures reduce the problems of coding error, but only slightly. If one does not correct for coding error, one overestimates traditional occupational mobility rates by about 90%; using task-based measures, the overestimate of mobility is still 75%. I also show that when tasks are used as regressors and coding error is not corrected, estimates will be attenuated by 15-20%. Task-based measures are a slight improvement over census occupation codes but are no panacea for dealing with coding error. |
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Bibliography Citation
Speer, Jamin D. "How Bad is Occupational Coding Error? A Task-based Approach." Economics Letters 141 (April 2016): 166-168.
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