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Engineer/scientist careers: Patents, online profiles, and misclassification bias
by
Huang, Ke-Wei
, Png, Ivan P. L.
, Ge, Chunmian
in
Bias
/ Careers
/ Data
/ Employers
/ engineer/scientist careers
/ Engineers
/ Human capital
/ Internet
/ Inventors
/ LinkedIn
/ misclassification
/ Mobility
/ Occupations
/ Polls & surveys
/ Recruitment
/ Retention
/ Scientists
/ Social media
/ Social networks
/ Studies
2016
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Engineer/scientist careers: Patents, online profiles, and misclassification bias
by
Huang, Ke-Wei
, Png, Ivan P. L.
, Ge, Chunmian
in
Bias
/ Careers
/ Data
/ Employers
/ engineer/scientist careers
/ Engineers
/ Human capital
/ Internet
/ Inventors
/ LinkedIn
/ misclassification
/ Mobility
/ Occupations
/ Polls & surveys
/ Recruitment
/ Retention
/ Scientists
/ Social media
/ Social networks
/ Studies
2016
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Do you wish to request the book?
Engineer/scientist careers: Patents, online profiles, and misclassification bias
by
Huang, Ke-Wei
, Png, Ivan P. L.
, Ge, Chunmian
in
Bias
/ Careers
/ Data
/ Employers
/ engineer/scientist careers
/ Engineers
/ Human capital
/ Internet
/ Inventors
/ LinkedIn
/ misclassification
/ Mobility
/ Occupations
/ Polls & surveys
/ Recruitment
/ Retention
/ Scientists
/ Social media
/ Social networks
/ Studies
2016
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Engineer/scientist careers: Patents, online profiles, and misclassification bias
Journal Article
Engineer/scientist careers: Patents, online profiles, and misclassification bias
2016
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Overview
Research summary: This article applies data from Linkedln to advance strategy research into the effect of human capital on mobility of engineers and scientists. Through an inventor survey, we show that Linkedln provides more accurate career histories than patents. Compared to Linkedln, patent measures of mobility generate 12 percent false positives and 83 percent false negatives. Using Linkedln, we review findings from previous research using patents to track the effect of human capital on mobility. One previous finding is robust: that mobility is higher in Silicon Valley than elsewhere. Other findings are possibly sensitive to the measure of mobility or sample selection. We interpret our results as the outcome of targeted retention of human capital. Data for this study may be accessed at FIVE, five.dartmouth.edu. Managerial summary: How does the mobility of engineers and scientists depend on their human capital? Previous research used patents to track inventor mobility and concluded that employers targeted inventors for recruitment by their human capital. Here, we introduce data from Linkedln to review the previous research. Through an inventor survey, we show that Linkedln provides more accurate career histories than patents. Compared to Linkedln, patent measures of mobility generate 12 percent false positives and 82 percent false negatives. Among the previous findings, we show that one is robust: mobility is higher among inventors in Silicon Valley than elsewhere. Other findings are possibly sensitive to the measure of mobility or sample selection. Our results suggest that current employers target engineers and scientists for retention according to their human capital.
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