Network effects in the German magazine industry

C-Tier
Journal: Economics Letters
Year: 2016
Volume: 143
Issue: C
Pages: 77-79

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

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

Abstract

This paper examines the two-sided network effects in the German magazine industry. We specify and estimate the network effect functions for readers and advertisers nonparametrically and find that they are neither linear nor monotonic.

Technical Details

RePEc Handle
repec:eee:ecolet:v:143:y:2016:i:c:p:77-79
Journal Field
General
Author Count
1
Added to Database
2026-01-29