New ideas, products, and practices take time to diffuse, a fact that is often attributed to some form of heterogeneity among potential adopters. This paper examines three broad classes of diffusion models&\#8212;contagion, social influence, and social learning&\#8212;and shows how to incorporate heterogeneity into each at a high level of generality without losing analytical tractability. Each type of model leaves a characteristic &\#8220;footprint&\#8221; on the shape of the adoption curve which provides a basis for discriminating empirically between them. The approach is illustrated using the classic study of Ryan and Gross (1943) on the diffusion of hybrid corn.
%0 Journal Article
%1 Young2009Innovation
%A Young, H. Peyton
%D 2009
%I American Economic Association
%J The American Economic Review
%K mean-field, review complex-contagion
%N 5
%P 1899--1924
%R 10.1257/aer.99.5.1899
%T Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning
%U http://dx.doi.org/10.1257/aer.99.5.1899
%V 99
%X New ideas, products, and practices take time to diffuse, a fact that is often attributed to some form of heterogeneity among potential adopters. This paper examines three broad classes of diffusion models&\#8212;contagion, social influence, and social learning&\#8212;and shows how to incorporate heterogeneity into each at a high level of generality without losing analytical tractability. Each type of model leaves a characteristic &\#8220;footprint&\#8221; on the shape of the adoption curve which provides a basis for discriminating empirically between them. The approach is illustrated using the classic study of Ryan and Gross (1943) on the diffusion of hybrid corn.
@article{Young2009Innovation,
abstract = {{New ideas, products, and practices take time to diffuse, a fact that is often attributed to some form of heterogeneity among potential adopters. This paper examines three broad classes of diffusion models\&\#8212;contagion, social influence, and social learning\&\#8212;and shows how to incorporate heterogeneity into each at a high level of generality without losing analytical tractability. Each type of model leaves a characteristic \&\#8220;footprint\&\#8221; on the shape of the adoption curve which provides a basis for discriminating empirically between them. The approach is illustrated using the classic study of Ryan and Gross (1943) on the diffusion of hybrid corn.}},
added-at = {2019-06-10T14:53:09.000+0200},
author = {Young, H. Peyton},
biburl = {https://www.bibsonomy.org/bibtex/2dba61954c4c8451dc594f195a473f522/nonancourt},
citeulike-article-id = {6493915},
citeulike-linkout-0 = {http://dx.doi.org/10.1257/aer.99.5.1899},
citeulike-linkout-1 = {http://www.ingentaconnect.com/content/aea/aer/2009/00000099/00000005/art00009},
doi = {10.1257/aer.99.5.1899},
interhash = {725b1e3c6dec2a145732be4a735c65bb},
intrahash = {dba61954c4c8451dc594f195a473f522},
issn = {0002-8282},
journal = {The American Economic Review},
keywords = {mean-field, review complex-contagion},
month = dec,
number = 5,
pages = {1899--1924},
posted-at = {2012-11-09 11:22:45},
priority = {2},
publisher = {American Economic Association},
timestamp = {2019-08-22T16:25:27.000+0200},
title = {{Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning}},
url = {http://dx.doi.org/10.1257/aer.99.5.1899},
volume = 99,
year = 2009
}