The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Learning-by-Doing, Organizational Forgetting, and Industry Dynamics
Open accessAbstract
Learning-by-doing and organizational forgetting are empirically important in a variety of industrial settings. This paper provides a general model of dynamic competition that accounts for these fundamentals and shows how they shape industry structure and dynamics. We show that forgetting does not simply negate learning. Rather, they are distinct economic forces that interact in subtle ways to produce a great variety of pricing behaviors and industry dynamics. In particular, a model with learning and forgetting can give rise to aggressive pricing behavior, varying degrees of long-run industry concentration ranging from moderate leadership to absolute dominance, and multiple equilibria.
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Cites
The Folk Theorem in Repeated Games with Discounting or with Incomplete Information
Fudenberg, D., & Maskin, E. (1986) · Econometrica · doi:10.2307/1911307 · Cited by 2,395
Wixted, J. T., & Ebbesen, E. B. (1991) · Psychological Science · doi:10.1111/j.1467-9280.1991.tb00175.x · Cited by 513
Cited by
Organizational Learning: From Experience to Knowledge
Argote, L., & Miron-Spektor, E. (2011) · Organization Science · doi:10.1287/orsc.1100.0621 · Cited by 1,917
Constrained Optimization Approaches to Estimation of Structural Models
(2012) · Econometrica · doi:10.3982/ecta7925 · Cited by 365
Metadata
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2010
- Volume
- 78
- Issue
- 2
- Pages
- 453-508
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W3023044121
- Cited by
- 206
- References
- 2
- FWCI
- 45.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.