[gov3009-l] Applied Statistics - 4/20 - Heidi Williams

Aaron Kaufman aaronkaufman at fas.harvard.edu
Sun Apr 17 22:36:04 EDT 2016


Hi everyone!

This week at the Applied Statistics Workshop we will be welcoming *Heidi
Williams*, Assistant Professor of Economics at MIT. She will be presenting
joint work with Bhaven Sampat entitled *Do Patents Affect Follow-on
Innovation? Evidence from the Human Genome**.*  Please find the abstract
below and on the website
<http://projects.iq.harvard.edu/applied.stats.workshop-gov3009/presentations/4202016-heidi-williams-mit-title-coming-soon>
.

As usual, we will meet in CGIS Knafel Room 354 from noon to 1:30pm, and
lunch will be provided.  See you all there! To view previous Applied
Statistics presentations, please visit the website
<http://projects.iq.harvard.edu/applied.stats.workshop-gov3009/videos>.

-- Aaron Kaufman

Title: Do Patents Affect Follow-on Innovation? Evidence from the Human
Genome

Abstract: We investigate whether patents on human genes have affected
follow-on scientific research and product development. Using administrative
data on successful and unsuccessful patent applications submitted to the US
Patent and Trademark Office, we link the exact gene sequences claimed in
each application with data measuring follow-on scientific research and
commercial investments. Using this data, we document novel evidence of
selection into patenting: patented genes appear more valuable — prior to
being patented — than non-patented genes. This evidence of selection
motivates two quasi-experimental approaches, both of which suggest that on
average gene patents have had no effect on follow-on innovation.
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