Modeliranje rasta prihoda od prodaje iz panel podataka

Vašarević, Filip

master's thesis

Modeliranje rasta prihoda od prodaje iz panel podataka

Vašarević, Filip (2017)

Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Pure Mathematics
Probability and Mathematical Statistics Research Group

Cite this document

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

Harvard

Vašarević, F. (2017). 'Modeliranje rasta prihoda od prodaje iz panel podataka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 06 August 2020, https://urn.nsk.hr/urn:nbn:hr:126:221102

Vancouver

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 August 06] Available at: https://urn.nsk.hr/urn:nbn:hr:126:221102

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:126:221102

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Metadata

Title	Modeliranje rasta prihoda od prodaje iz panel podataka
Title (english)	Panel Data Model for Sales Growth
Author	Filip Vašarević
Mentor	Mirta Benšić (mentor)
Committee member	Nenad Šuvak (predsjednik povjerenstva)
Committee member	Mirta Benšić (član povjerenstva)
Committee member	Nataša Šarlija (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Department of Mathematics (Chair of Pure Mathematics) (Probability and Mathematical Statistics Research Group) Osijek
Defense date and country	2017-07-07, 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)
Language	croatian
URN:NBN	urn:nbn:hr:126:221102
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2020-01-14 07:38:34