Research and Development, Competition and Innovation; Pseudo Maximum Likelihood and Simulated Maximum Likelihood Methods Applied to Count Data Models with Heterogeneity
Bruno Crépon and
Emmanuel Duguet
Papiers d'Economie Mathématique et Applications from Université Panthéon-Sorbonne (Paris 1)
Keywords: RESEARCH AND DEVELOPMENT; COMPETITION; INNOVATIONS; EVALUATION (search for similar items in EconPapers)
JEL-codes: C10 C13 O30 O31 O32 (search for similar items in EconPapers)
Pages: 31 pages
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (7)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: Research and development, competition and innovation pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity (1997) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fth:pariem:95.08
Access Statistics for this paper
More papers in Papiers d'Economie Mathématique et Applications from Université Panthéon-Sorbonne (Paris 1) France; Universite de Paris I - Pantheon- Sorbonne, 12 Place de Pantheon-75005 Paris, France. Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().