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Title:Ekonometrična analiza vpliva človeškega kapitala na bruto domači proizvod na Norveškem in Švedskem
Authors:ID Prelog, Blaž (Author)
ID Boršič, Darja (Mentor) More about this mentor... New window
Files:.pdf UN_Prelog_Blaz_2021.pdf (3,40 MB)
MD5: 8560148084E432A555653CAAE8A0CD08
PID: 20.500.12556/dkum/37b1be8d-29da-4788-910d-ce7bef73afd7
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Koncept človeškega kapitala je postal ena izmed ključnih spremenljivk v sodobni teoriji gospodarske rasti. Gre za investicije v posameznikovo izobrazbo in zdravje, kar ima za posledico večjo produktivnost posameznika in višji potencialni zaslužek. Diplomsko delo obravnava vpliv človeškega kapitala na bruto domači proizvod na Norveškem in Švedskem. V uvodnih poglavjih sta predstavljeni teoriji gospodarske rasti in človeškega kapitala ter obstoječe empirične študije gospodarske rasti. V nadaljevanju sta predstavljena indeksa, ki prikazujeta razvoj države in človeškega kapitala; to sta indeks človekovega razvoja in indeks človeškega kapitala. Izhodiščne podatke za ekonometrično analizo smo pridobili iz nacionalnih statističnih uradov Norveške in Švedske. Za obe državi smo s pomočjo računalniškega programa EViews 11, izdelali tri ustrezne regresijske funkcije, za katere smo razložili osnovne statistike in pomen dobljenih regresijskih koeficientov. Vse funkcije smo testirali na ustreznost specifikacije z RESET testom in oceno stabilnosti parametrov s Chow testom. Za odločitev o izbiri najprimernejšega modela pa smo primerjali primerljive determinacijske koeficiente ter primerljive nepojasnjene vsote kvadratov. Za izbrani funkciji smo izračunali standardizirane koeficiente in preverili veljavnost predpostavk metode najmanjših kvadratov. Zaradi prisotnosti heteroskedastičnosti in avtokorelacije smo izračunali robustne standardne napake ocen regresijskih koeficientov s heteroskedastično in avtokorelacijsko konsistentno variančno-kovariančno matriko, znano tudi kot HAC metoda.
Keywords:Bruto domači proizvod, izobrazba, zdravje, ekonometrična analiza, Norveška, Švedska.
Place of publishing:[Maribor
Publisher:B. Prelog
Year of publishing:2021
PID:20.500.12556/DKUM-79292 New window
UDC:330.55:330.43
COBISS.SI-ID:84300035 New window
Publication date in DKUM:10.11.2021
Views:1870
Downloads:112
Metadata:XML DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-ND 4.0, Creative Commons Attribution-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nd/4.0/
Description:Under the NoDerivatives Creative Commons license one can take a work released under this license and re-distribute it, but it cannot be shared with others in adapted form, and credit must be provided to the author.
Licensing start date:09.06.2021

Secondary language

Language:English
Title:An Econometric Analysis of the Impact of Human Capital on Gross Domestic Product in Norway and Sweden
Abstract:The concept of human capital became one of the key variables in modern theory of economic growth. It is about investments in individual's education and health, consequently there is a higher productivity of individuals and higher potential earnings. The thesis discusses the impact of human capital on gross domestic product in Norway and Sweden. In the first few chapters, the theory of economic growth and human capital are presented as well as the existing empirical studies of economic growth. Furthermore, there are the human development index and the human capital index presented. Data for the econometric analysis were required from national statistical services in Norway and Sweden. For each country three different regression functions were estimated using EViews 11. The basic statistics and the meaning of the estimated regression coefficients are explained. All functions were tested for specification with the RESET test and stability of the parameters was tested with the Chow test to decide about the most suitable model. Comparable determination coefficients and comparable residual sum of squares were calculated. For the chosen functions standardized coefficients were calculated and the validity of assumptions of the method of ordinary least squares was checked. Because of the existence of heteroscedasticity and autocorrelation in the model heteroscedasticity and autocorrelation consistent variance-covariance matrix, known also as the HAC method, was calculated.
Keywords:Gross Domestic Product, Education, Health, Econometric Analysis, Norway, Sweden.


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