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TEXT-BASED NETWORK INDUSTRIES AND ENDOGENOUS PRODUCT DIFFERENTIATION
We also find evidence that firm R&D and advertising are associated with subsequent differentiation from competitors, consistent with theories of endogenous product differentiation.
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TEXT-BASED NETWORK INDUSTRIES AND ENDOGENOUS PRODUCT DIFFERENTIATION
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.
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TEXT-BASED NETWORK INDUSTRIES AND ENDOGENOUS PRODUCT …
Aug 31, 2016 Our paper is based on the premise that product similarity is core to classifying industries and that empirical work can benefit from more flexible measures of industry …
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FINSETS - HOBERG, PHILLIPS (2010, 2016)
This module downloads and processes data developed by: Text-Based Network Industries and Endogenous Product Differentiation. Gerard Hoberg and Gordon Phillips, 2016, Journal of …
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DYNAMIC TEXT-BASED INDUSTRY CLASSIFICATIONS AND …
Using these new dynamic industry classifications, we examine endogenous product differentiation. We show that firms use R&D and advertising to differentiate themselves from competitors and …
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PRODUCT DIFFERENTIATION AND OLIGOPOLY: A NETWORK APPROACH
In the next empirical exercise, I use the database of announced mergers between public Ewens, Peters and Wang (2019) and Phillips and Zhdanov (2013), which covers the period up to 2016.
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AWESOME-QUANT-PAPERS/HOBERG AND PHILLIPS- 2016- TEXT-BASED ... - GITHUB
This repository hosts my reading notes for academic papers. - awesome-quant-papers/Hoberg and Phillips- 2016- Text-based network industries and endogenous product …
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TEXT-BASED NETWORK INDUSTRIES AND ENDOGENOUS PRODUCT DIFFERENTIATION
Aug 31, 2016 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.
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HOBERG AND PHILLIPS DATA LIBRARY
For an exercise with Python code and underlying data to replicate one year of the Hoberg-Phillips TNIC network from the original JPE 2016 paper, please download this zip file: Download here.
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TEXT-BASED NETWORK INDUSTRIES AND ENDOGENOUS PRODUCT DIFFERENTIATION ...
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.
From bing.com


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