Text-Based Network Industries and Endogenous Product Differentiation

S-Tier
Journal: Journal of Political Economy
Year: 2016
Volume: 124
Issue: 5
Pages: 1423 - 1465

Authors (2)

Gerard Hoberg (not in RePEc) Gordon Phillips (Dartmouth College)

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We study how firms differ from their competitors using new time-varying measures of product similarity based on text-based analysis of firm 10-K product descriptions. This year-by-year set of product similarity measures allows us to generate a new set of industries in which firms can have their own distinct set of competitors. Our new sets of competitors explain specific discussion of high competition, rivals identified by managers as peer firms, and changes to industry competitors following exogenous industry shocks. We also find evidence that firm R&D and advertising are associated with subsequent differentiation from competitors, consistent with theories of endogenous product differentiation.

Technical Details

RePEc Handle
repec:ucp:jpolec:doi:10.1086/688176
Journal Field
General
Author Count
2
Added to Database
2026-01-29