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Patenting an Industry: Tracking Semiconductor Investors in Silicon Valley and Beyond

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thesis
posted on 18.08.2020, 22:15 authored by Sebastian Wai
This paper uses newly collected patent and biographical data to identify and profile semiconductor inventors and track their backgrounds. This data are used to study the famous cluster of semiconductor firms in Silicon Valley and make comparisons to firms in other regions. Logistic regressions are used to estimate probabilities that firms hire inventors from a given background, dependent on characteristics of the firm. These logit models test whether Silicon Valley firms behave differently than other firms outside the region in terms of inventor hiring and assess claims made about Silicon Valley by other authors.

History

Date

15/05/2011

Degree

BS in Economics

Advisor(s)

Steven Klepper