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Faktory růstu malých rodinných podniků: robustní odhad chování podniků pomocí panelových dat

dc.contributor.authorBenáček, Vladimírcs
dc.contributor.authorMichalíková, Evacs
dc.date.accessioned2021-08-20T10:52:08Z
dc.date.available2021-08-20T10:52:08Z
dc.date.issued2015-09-03cs
dc.identifier.citationPRAGUE ECON PAP. 2015, vol. 25, issue 1, p. 85-98.en
dc.identifier.issn1210-0455cs
dc.identifier.other116238cs
dc.identifier.urihttp://hdl.handle.net/11012/201067
dc.description.abstractThe paper quantifies the role of factors associated with the growth (or decline) of micro and small businesses in European economies. The growth is related to the levels of employment and value added in enterprises, as well as, ten institutional variables. We test the data for consistency of behavioural patterns in various countries and gradually remove outlying observations that can lead to erroneous conclusions when using the classic estimators; this is a quite unique approach in panel data analysis. In the first part of this paper we outline a highly robust method of estimation based on fixed effects and least trimmed squares (LTS). In its second part we apply this method on the panel data of 28 countries in 2002–2008 testing for the hypothesis that micro and small businesses in Europe use different strategies for their growth. We run a series of econometric tests where we regress employment and total net production in micro and small businesses on three economic factors: gross capital returns, labour cost gaps in small relative to large enterprises and GDP per capita. In addition, we test the role of 10 institutional factors in the growth of family businesses.en
dc.description.abstractThe paper quantifies the role of factors associated with the growth (or decline) of micro and small businesses in European economies. The growth is related to the levels of employment and value added in enterprises, as well as, ten institutional variables. We test the data for consistency of behavioural patterns in various countries and gradually remove outlying observations that can lead to erroneous conclusions when using the classic estimators; this is a quite unique approach in panel data analysis. In the first part of this paper we outline a highly robust method of estimation based on fixed effects and least trimmed squares (LTS). In its second part we apply this method on the panel data of 28 countries in 2002–2008 testing for the hypothesis that micro and small businesses in Europe use different strategies for their growth. We run a series of econometric tests where we regress employment and total net production in micro and small businesses on three economic factors: gross capital returns, labour cost gaps in small relative to large enterprises and GDP per capita. In addition, we test the role of 10 institutional factors in the growth of family businesses.cs
dc.formattextcs
dc.format.extent85-98cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherPrague University of Economics and Businesscs
dc.relation.ispartofPRAGUE ECON PAPcs
dc.relation.urihttp://pep.vse.cz/artkey/pep-201601-0006_the-factors-of-growth-of-small-family-businesses-a-robust-estimation-of-the-behavioural-consistency-in-panel.phpcs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectfamily businessen
dc.subjectfixed effectsen
dc.subjectLTSen
dc.subjectrobust estimatoren
dc.titleThe Factors of Growth of Small Family Businesses. A Robust Estimation of the Behavioural Consistency in Panel Data Modelsen
dc.title.alternativeFaktory růstu malých rodinných podniků: robustní odhad chování podniků pomocí panelových datcs
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav informatikycs
sync.item.dbidVAV-116238en
sync.item.dbtypeVAVen
sync.item.insts2021.08.20 12:52:08en
sync.item.modts2021.08.20 12:14:22en
dc.coverage.issue1cs
dc.coverage.volume25cs
dc.identifier.doi10.18267/j.pep.538cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1210-0455/cs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International