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master's thesis
Modeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. urn:nbn:hr:126:245630
Blažević, Andrijana
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Pure Mathematics and Mathematics Teaching
Probability, Mathematical Statistics and Data Science Research Group

Institutional repository: Repository of School of Applied Mathematics and Informatics

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Blažević, A. (2020). Modeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:245630

Blažević, Andrijana. "Modeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:245630

Blažević, Andrijana. "Modeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:245630

Blažević, A. (2020). 'Modeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 28 November 2024, https://urn.nsk.hr/urn:nbn:hr:126:245630

Blažević A. Modeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2020 [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:126:245630

A. Blažević, "Modeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:126:245630

Metadata
TitleModeliranje rasta poduzeća u Hrvatskoj: analiza panel podataka
Title (english)Croatian Firm's Growth Modeling: Panel Data Analysis
AuthorAndrijana Blažević
MentorNataša Šarlija (mentor)
Committee memberDanijel Grahovac (predsjednik povjerenstva)
Committee memberNataša Šarlija (član povjerenstva)
Committee memberMirta Benšić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Pure Mathematics and Mathematics Teaching)
(Probability, Mathematical Statistics and Data Science Research Group)
Osijek
Defense date and country2020-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Applied Mathematics and Mathematical Modeling
Abstract
U ovom radu stražujemo vezu između rizika insolventnosti i rasta za hrvatske tvrtke koristeći panel podatke. U prvom dijelu definirani su različiti modeli primjenjivi na panel strukturu, kao i logistička regresija koja je korištena za modeliranje insolventnosti. Objašnjeni su i statistički testovi korišteni za odabir najadekvatnijeg modela. Drugi dio prikazuje primjenu panel podataka u ekonomiji. Cjelokupno modeliranje rađeno je programom R.
Abstract (english)
We investigate the relationship between insolvency risk and growth for Croatian firms using panel data. Different models for panel data are discussed in first part, as well as logistic regression which was used for modeling insolvency. Statistical tests used for model selection are also explained. The second part shows the application of panel data in economics. Entire modeling was done with the R program.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:245630
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Financial and Statistical Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-10-01 08:06:53