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Modeliranje rasta prihoda od prodaje iz panel podataka
Filip Vašarević (2017)
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Pure Mathematics
Probability and Mathematical Statistics Research Group
Cite this document

Vašarević, F. (2017). Modeliranje rasta prihoda od prodaje iz panel podataka (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:221102

Vašarević, Filip. "Modeliranje rasta prihoda od prodaje iz panel podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. https://urn.nsk.hr/urn:nbn:hr:126:221102

Vašarević, Filip. "Modeliranje rasta prihoda od prodaje iz panel podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2017. https://urn.nsk.hr/urn:nbn:hr:126:221102

Vašarević, F. (2017). 'Modeliranje rasta prihoda od prodaje iz panel podataka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 25 February 2020, https://urn.nsk.hr/urn:nbn:hr:126:221102

Vašarević F. Modeliranje rasta prihoda od prodaje iz panel podataka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2017 [cited 2020 February 25] Available at: https://urn.nsk.hr/urn:nbn:hr:126:221102

F. Vašarević, "Modeliranje rasta prihoda od prodaje iz panel podataka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:126:221102

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Metadata
TitleModeliranje rasta prihoda od prodaje iz panel podataka
Title (english)Panel Data Model for Sales Growth
AuthorFilip Vašarević
MentorMirta Benšić (mentor)
Committee memberNenad Šuvak (predsjednik povjerenstva)
Committee memberMirta Benšić (član povjerenstva)
Committee memberNataša Šarlija (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Pure Mathematics)
(Probability and Mathematical Statistics Research Group)
Osijek
Defense date and country2017-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Financial and Business Mathematics
Abstract
U radu smo predstavili posebnu strukturu podataka koju nazivamo panel podaci. Upoznali smo se s modelima koji se primjenjuju na takve podatke, njihovim pretpostavkama te procijeniteljima uz pomoć kojih dobivamo koeficijente svakog modela. Obradili smo teorijsku pozadinu najvažnijih statističkih testova koji služe za usmjeravanje pri modeliranju i ispitivanju ispravnosti pojedinog modela. Objasnili smo rast poduzeća temeljen na prihodu od prodaje što je vrlo zanimljivo za ekonomska istraživanja te smo se upoznali s osnovnim varijablama koje pokazuju vezu s rastom prihoda od prodaje. Detaljnije smo opisali sve financijske omjere koji su bile korištenje u modeliranju. Modelirali smo na primjeru od 3839 poduzeća iz preradivačke industrije u razdoblju od 2010. do 2014. godine. Opisali smo koje financijske omjere sadrže te smo pogledali deskriptivnu statistiku. Nakon toga smo modelirali prihod od prodaje pomoću nezavisnih varijabli iz panela. U konačnom modelu, kojeg smo dobili primjenom postupaka napravljenih u teorijskom djelu rada izdvojeno je 13 nezavisnih varijabli, te smo taj model diskutirali u ekonomskom smislu.
Abstract (english)
In this paper panel data are explained and used for modeling revenue growth from sales. Different models for panel data modeling are discussed as well as statistical tests which can be used for model selection. Revenue growth from sales and its variables are also explained, which is very interesting for economic research. The panel data for 3839 Croatian firms in manufacturing industry in the period form 2010. to 2014. was used for revenue growth modeling. The modeling was done with the program R by using estimators and statistical tests which are explained in the theoretical part of this paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:221102
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 usehttp://rightsstatements.org/vocab/InC/1.0/
Created on2020-01-14 07:38:34