Evidence on Learning and Network Externalities in the Diffusion of Home Computers

Working Paper: NBER ID: w7329

Authors: Austan Goolsbee; Peter J. Klenow

Abstract: In this paper we examine the importance of local spillovers such as network externalities and learning from others in the diffusion of home computers using data on 110,000 U.S. households in 1997. Controlling for many individual characteristics, we find that people are more likely to buy their first home computer in areas where a high fraction of households already own computers or when a large share of their friends and family own computers. Further results suggest that these patterns are unlikely to be explained by city-specific unobserved traits. Looked at in more detail, the spillovers appear to come from experienced and intensive computer users. They are not associated with the use of any particular type of software but do seem to be highly tied to the use of e-mail and the Internet, consistent with computers being part of a local information and communications network.

Keywords: No keywords provided

JEL Codes: L6


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
High local ownership rates (R21)Increased likelihood of first-time computer adoption (L86)
Existing computer owners (L63)Increased likelihood of first-time computer adoption (L86)
Experienced users (Y60)Increased likelihood of first-time computer adoption (L86)
Local networks (D85)Increased likelihood of first-time computer adoption (L86)
Unobserved common traits (C29)Potential biases in local ownership rates and first-time computer adoption (R21)

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