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We recommend starting by reading README.pdf for a general description of the construction of these data files. For a more detailed discussion of the contents of the Orange Book, see “The NBER Orange Book Dataset: A User’s Guide.”

Contents and Directory Structure

  • /1_orange_book_PDFs/ contains the full FDA Orange Books, obtained via a FOIA request, for years 1980- 2016 (Patent and Exclusivity tables begin in 1985). This folder also contains excerpts of the PDFs that were sent to a data entry firm for hand-entry. Also within this directory is documentation of the FOIA request.
    To download this entire folder as a zipped file click on
  • /2_hand_entered_by_firm_excel/ contains the raw Excel files as entered by the data entry firm.
    To download this entire folder as a zipped file click on
  • /3_cross_check_sources/ contains the Stata files and PDFs that were used for cross-checking the data entry firm’s output.
    To download this entire folder as a zipped file click on
  • /4_clean_exclusivity_tables_stata/ contains the clean data files as well as code and other intermediate files used in creating the clean files, including the following:
    • – The subfolder /scripts/ contains the .do file that creates the clean data sets and the .log file.
    • – The subfolder /corrected_discrepancies_excel/ contains hand-entered corrections made during data construction. These files should not be deleted or altered in any way.
    • – There are three subfolders – /temp/, /txt/, and /exported_discrepancies_excel/ that are created when the .do file is run. These subfolders can safely be removed after the .do file completes.
    • – Running the file creates the clean Stata files. The code was written for Stata 15 running on a Linux operating system.
    • – Each of the files contains data for all Orange Books 1985-2016 (excluding 1986, for which there is no Orange Book). If you want exclusivity data only for a particular edition, simply open the data file and keep only that year.

    To download this entire folder as a zipped file click on


Supported by the National Institute on Aging grants #P01AG005842 and #3P01AG005842-32S1

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