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Table 1 Empirical studies assessing the economic results of network effects across user groups

From: Network effects in two-sided markets: why a 50/50 user split is not necessarily revenue optimal

Authors

Main research topics

Data gen.

Analysis methods

Industry/data sets

Economic dependent variables

Considers

CNE

SNE

Ackerberg and Gowrisankaran (2006)

NEs for banks and customers

T

Max. likelihood

ACH banking

Number of transactions

Yes

No

Brynjolfsson and Kemerer (1996)

User base on price

M

Semi-log, OLS

Spreadsheet software

Prices

Yes

No

Chacko and Mitchell (1998)

User base on company growth

M

OLS

3 technology sectors

Corporate growth rate

Yes

No

Chao and Derdenger (2013)

NEs on revenue-opt. price structure

M

Regression with IV

Portable game consoles

Associated prices

Yes

No

Chen and Xie (2007)

Implications of customer loyalty

M

Regression

Newspaper

Advertising rate, market share diff.

Yes

No

Chu and Manchanda (2013)

User base on other group’s growth

T

Max. likelihood

C2C retail platform

Growth of other user group

Yes

No

Clements and Ohashi (2005)

Indirect NEs, hardw. diffusion

M

Two-stage least squares

Video game systems

Hardware and software adoption

Yes

No

Gandal et al. (2000)

Hardw. prices and softw. on diffusion

M

OLS

CD players and titles

Change in variety and sales

Yes

No

Mantrala et al. (2007)

Marketing invest on profits

M

Two-segment SURE

Newspapers

Subscriptions, ad revenue, sales

Yes

No

Nair et al. (2004)

Indirect NEs in competition

M

Monte Carlo, OLS

PDAs and software

Hardw. demand, softw. provision

Yes

No

Rysman (2004)

Importance of CNEs

M

Nested logit

Yellow pages

Consumer and advertiser demand

Yes

No

Rysman (2007)

Card usage and acceptance

M, T

Logit

Payment card transactions

Choice of favorite network

Yes

No

Shankar and Bayus (2003)

Network strength in competition

M

SEM

Video game consoles

Network strength

Yes

No

Wilbur (2008)

Ads on audience size and vice versa

M

Logit

TV ads

Viewer and advertiser demand

Yes

No

Asvanund et al. (2004)

Incremental value of new users

T

Logit, OLS

Peer-to-peer networks

Network value

Yes

Yes

Sridhar et al. (2011)

Optimal marketing invests with CNEs

M

DMR

Local newspaper

Demand from both sides

Yes

(Yes)

Tucker and Zhang (2010)

Installed base on listing behavior

F

Probit

Classifieds platform

Number of listings

Yes

Yes

This paper

Network effects on revenue; revenue-optimal user split

T

SURE, logit, OLS

Online dating platform

Revenue, user net gain, number of subscribers

Yes

Yes

  1. Data generation: F field experiment, M market level data, T transactional company data