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17 Yale J.L. & Tech. 203 (2015)
What Is the Probability of Receiving a U.S. Patent

handle is hein.journals/yjolt17 and id is 205 raw text is: 





                WHAT IS THE PROBABILITY OF
                RECEIVING A U.S. PATENT?

           Michael Carley, Deepak Hegde, and Alan Marco'

                   17 YALE J.L. & TECH. 203 (2015)

                             ABSTRACT

    What proportion of patent applications filed at the U.S. Patent and
Trademark Office (USPTO) are eventually granted? Many experts have
suggested that the USPTO approves nearly all applications, blaming
this apparent leniency for many problems with the U.S. patent system.
To test this assumption, we follow the prosecution histories of 2.15
million U.S. patent applications from 1996 to mid-2013. We find that
only 55.8% of the applications emerged as patents without using
continuation procedures to create related applications. The allowance
rate  has   decreased  substantially  over  time, particularly   for
applications in the Drugs and Medical Instruments and Computers
and Communications fields. Furthermore, applications filed by small
firms were less likely to emerge as patents than those filed by large
firms. We discuss the implications of our findings for inventors,
policymakers, and legal scholars.

                        TABLE OF CONTENTS

In trodu ction   ........................................................................................  2 04
I.   D ata and M ethodology ............................................................... 206
II.  Patent Examination in the United States ................................ 207
       A. The Exam  ination Process .................................................. 207
       B. Continuation Procedures ................................................... 209
III. Allowance Rates Across Technology Fields .............................. 212
IV. Allowance Rates Across Inventor Types ................................... 213
V .  C on clu sion   .................................................................................. 2 15
A p p en d ix  .............................................................................................  2 17



   The authors thank Wesley Cohen, Paul D'Agostino, Charles Eloshway, Kira
   Fabrizio, Dan Hunter, Jenny Kuan, Joanne Oxley, Gregory Mills, Cecil Quillen,
   Binta Robinson, Patrick Ross, Robert Seamans, and Arvids Ziedonis for helpful
   discussions and suggestions. Alan Marco is the Chief Economist at the U.S. Patent
   and Trademark Office (USPTO), Michael Carley is a Senior Data Analyst at T-
   Mobile, and Deepak Hegde is an Assistant Professor at New York University and
   Thomas Alva Edison Research Fellow at the USPTO. Hegde's research was funded
   by  the  2012-2013 Kauffman  Faculty Fellowship. The analysis and
   recommendations in this manuscript, however, are solely the authors' and do not
   necessarily reflect the views of either the USPTO or the Kauffman Foundation.

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