The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Modelling proportions: random effects models of UK firm entry

Modelling proportions: random effects models of UK firm entry
Modelling proportions: random effects models of UK firm entry
A long-standing issue in industrial economics is the understanding of the relative prevalence of labour-managed firms (LMFs) and capitalist firms across industries. In proportionate terms, LMF entry tends to be highly concentrated in particular industries. We provide empirical evidence on this by modelling the proportions of industry entrants that are LMFs, using a panel of UK manufacturing industries. Random effects proportions models indicate the role and importance of risk and capital requirements as potential deterrents to LMF entry.
0217-5908
367-377
Podivinsky, Jan M.
68b5a6e8-9d09-4a3e-97b2-4a9e4f1efbb9
Stewart, Geoff
a94573f3-bb92-416f-ba18-3c6272224d18
Podivinsky, Jan M.
68b5a6e8-9d09-4a3e-97b2-4a9e4f1efbb9
Stewart, Geoff
a94573f3-bb92-416f-ba18-3c6272224d18

Podivinsky, Jan M. and Stewart, Geoff (2009) Modelling proportions: random effects models of UK firm entry. Singapore Economic Review, 54 (3), 367-377. (doi:10.1142/S0217590809003380).

Record type: Article

Abstract

A long-standing issue in industrial economics is the understanding of the relative prevalence of labour-managed firms (LMFs) and capitalist firms across industries. In proportionate terms, LMF entry tends to be highly concentrated in particular industries. We provide empirical evidence on this by modelling the proportions of industry entrants that are LMFs, using a panel of UK manufacturing industries. Random effects proportions models indicate the role and importance of risk and capital requirements as potential deterrents to LMF entry.

This record has no associated files available for download.

More information

Published date: 2009
Additional Information: Special issue on Panel Data Econometrics, ed. by Jan F Kiviet
Related URLs:

Identifiers

Local EPrints ID: 65178
URI: http://eprints.soton.ac.uk/id/eprint/65178
DOI: doi:10.1142/S0217590809003380
ISSN: 0217-5908
PURE UUID: 08787cf5-1a53-4677-9ce6-7aba58b4cfa0
ORCID for Jan M. Podivinsky: ORCID iD orcid.org/0000-0002-4921-1189

Catalogue record

Date deposited: 09 Feb 2009
Last modified: 16 Mar 2024 02:33

Export record

Altmetrics

Contributors

Author: Jan M. Podivinsky ORCID iD
Author: Geoff Stewart

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×