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Heterogeneous Distributions of Firms Sustained by Innovation Dynamics-A Model with Empirical Illustrations and Analysis
KTH, School of Industrial Engineering and Management (ITM), Centres, Centre of Excellence for Science and Innovation Studies, CESIS.
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Economics (Closed (20130101). KTH, School of Industrial Engineering and Management (ITM), Centres, Centre of Excellence for Science and Innovation Studies, CESIS.
2012 (English)In: Journal of Industry, Competition and Trade, ISSN 1566-1679, E-ISSN 1573-7012, Vol. 12, no 2, 239-263 p.Article in journal (Refereed) Published
Abstract [en]

This paper develops a framework of innovation dynamics to appreciate observed heterogeneity of firm size distributions, in which dynamics refer to exit and entry of product varieties and variety markets of individual firms. The analysis is based on a model of variety-triplets where every such triplet in the economy is identified by a unique combination of a variety, destination and firm. New variety triplets are introduced by innovating firms in a quasi-temporal setting of monopolistic competition. Ideas for variety-triplets arrive to firms according to a firm-specific and state dependent Poisson process, whereas variety triplets exit according to a destination-specific Poisson process. The empirical analysis employs a detailed firm-level data base which provides information about all variety triplets. Firm size is measured by a firm's number of variety triplets. The empirical results are compatible with the model predictions of (i) a persistent distribution of firm sizes, (ii) frequent events of exit and entry, and (iii) state dependent entry, where a state may be given by each firm's composition of triplets and/or other firm attributes.

Place, publisher, year, edition, pages
2012. Vol. 12, no 2, 239-263 p.
Keyword [en]
dynamics, entry, exit, firm heterogeneity, innovation, size distribution
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:kth:diva-96178DOI: 10.1007/s10842-010-0092-zScopus ID: 2-s2.0-84860919080OAI: oai:DiVA.org:kth-96178DiVA: diva2:532344
Note

QC 20120611

Available from: 2012-06-11 Created: 2012-05-31 Last updated: 2017-12-07Bibliographically approved

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