Hasselback's Faculty Roster

Compiled Data of James R. Hasselback's Faculty lists, combined with Scopus IDs

What is this?

James Hasselback publishes a near-complete list of faculties of Economics, Management, Finance and Accounting departments in the US, Canada and some other places for various years. I have compiled those lists (available at http://www.jrhasselback.com/FacDir.html as pdfs) to make them usable in my research. They are augmented with the Scopus IDs of the researchers. The following year-field combinations are available:

	Accounting	Economics	Finance	Management
2000-2001	x		x	x
2001-2002	x	x
2002-2003			x
2003-2004	x	x

Feel free to use them in your research, too. You can find a variable description on James' website. I am open to data additions and gladly accept Pull Requests. Note that I only aggregated information for researchers holding a PhD.

How do I use this?

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Usage in your scripts is easy:

• In python (with pandas):

import pandas as pd

FACULTY_FILE = ('https://raw.githubusercontent.com/Michael-E-Rose/Hasselback'
                'FacultyRoster/master/hasselback.csv')
hass = pd.read_csv(FACULTY_FILE, index_col=0)

• In R:

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• In Stata:

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What's the benefit?

• Central online storage for seamless inclusion in local scripts.
• Longitudinal collection of faculty information for US-based researchers including academic rank, year of PhD and PhD school and more.

Workflow

• ./mapping_files/institutions.csv and ./mapping_files/persons.csv are mapping files to aggregate over differently used university names and to map researchers to their Scopus profile IDs (identifaction in the Scopus database uses available information).
• condense_faculty_lists.py combines the information.
• hasselback.csv is the resulting file.