Text-Based Network Industries and Endogenous Product Differentiation
By Gordon M. Phillips, Gerard Hoberg. Journal of Political Economy, 2016
1,643 citations recorded by the source corpus.
Subfields: Accounting, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/bb8fa7e2ff16f335986c12db96165689af5293d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Terry Shevlin
- Nemit Shroff
- Michelle Hanlon
- John R. Graham
- Gordon M. Phillips
- Thomas Philippon
- L. Frésard
- Germán Gutiérrez
In Strategy and Management
- Michelle Hanlon
- Terry Shevlin
- Nemit Shroff
- Germán Gutiérrez
- Thomas Philippon
- John R. Graham
- Praveen Kumar
- Hadiye Aslan
Citations in the corpus
- R&D Networks: Theory, Empirics, and Policy Implications (2019, background): “…three alternative specifications for the competition matrix based on the primary and secondary industry classification codes that can be found in the Compustat Segments database, the Orbis database (Bloom et al., 2013), or the Hoberg-Phillips product similarity database (Hoberg & Phillips, 2016).”
- Machine Learning: An Applied Econometric Approach (2017, background): “Hoberg and Phillips (2016) extract similarity of firms from their 10-”
- Learning from Peers' Stock Prices and Corporate Investment (2014, neutral): “Hoberg and Phillips (2011) s TNIC industries have three important features.”
- From Good to Bad Concentration? US Industries over the Past 30 Years (2019, methodology): “They find evidence of product differentiation using the index of Hoberg and Phillips (2017).”
- News Implied Volatility and Disaster Concerns (2017, background): “Hoberg and Phillips (2010, 2011) use the similarity of company descriptions to determine competitive relationships.”
- Search Based Peer Firms: Aggregating Investor Perceptions through Internet Co-Searches (2015, methodology): “While the existing body of work using data such as Google Trends measures the nominal level of traffic at the firm level, our (7)Hoberg and Phillips (2010) propose another interesting alternative approach to peer identification through textual analysis of firms’ self-reported business descriptions a”
- Can Innovation Help U.S. Manufacturing Firms Escape Import Competition from China? (2015, neutral): “These results are consistent with the finding of Hoberg and Phillips (2016) that firms with higher (endogenous) R&D have more differentiated products.”