Replication data for: Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning

Principal Investigator(s): View help for Principal Investigator(s) H. Peyton Young

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AER20071161R2Table-6---Data.xls	application/vnd.ms-excel	24.5 KB	10/12/2019 06:03:AM
LICENSE.txt	text/plain	14.6 KB	10/12/2019 06:03:AM

Project Citation:

Young, H. Peyton. Replication data for: Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning. Nashville, TN: American Economic Association [publisher], 2009. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113338V1

Project Description

Summary: 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 -- contagion, social influence, and social learning -- 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 "footprint" 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. (JEL D83, O33, Q16, Z13)

Scope of Project

JEL Classification:
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      O33 Technological Change: Choices and Consequences; Diffusion Processes
      Q16 Agricultural R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
      Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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Published Versions

V1 [2019-10-12]

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DDI 2.5

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