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Title:Ekonometrična analiza zaposlitvene funkcije za Madžarsko in Estonijo
Authors:Muršič, Valentina (Author)
Boršič, Darja (Mentor) More about this mentor... New window
Files:.pdf UN_Mursic_Valentina_2020.pdf (1,08 MB)
MD5: 4FE63ED208B9C8BF3E12BAFF68C48B5B
 
Language:Slovenian
Work type:Diploma project paper (mb13)
Typology:2.11 - Undergraduate Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Zaposlitvena funkcija ekonomski stroki služi kot pomemben instrument na mikroekonomski ali makroekonomski ravni. Na mikroekonomski ravni je v pomoč pri vodenju politike zaposlovanja. Splošneje, torej na makroekonomski ravni pa je v pomoč pri analizi podatkov, ki služijo kot podlaga za sprejemanje odločitev ekonomske politike določenega gospodarstva in so v veliki meri vezane na trg dela. Delo diplomskega projekta temelji na analizi modelov zaposlitvene funkcije za Madžarsko in Estonijo. Analiza se opira na podatke, uvožene iz evropske statistične baze Eurostat, in zajema obdobje med letoma 2000 in 2019. Na podlagi ekonomske teorije v naš model vključimo dve pojasnjevalni spremenljivki, realni bruto domači proizvod (RBDP) in realne plače (RW). Odvisno spremenljivko nam predstavlja zaposlenost (E). Za vsako izmed analiziranih gospodarstev določimo tri različne funkcijske oblike in se tako srečamo z linearno funkcijo, dvojno logaritemsko funkcijo in funkcijo z odloženo odvisno spremenljivko. Na podlagi velikosti determinacijskih koeficientov in rezultatov RESET-testa, Box-Coxovega testa ter Chowovega testa izberemo najustreznejšo funkcijsko obliko za vsako izmed držav. V zadnjem koraku v izbranem modelu s primernimi ekonometričnimi testi preverimo izpolnjevanje predpostavk metode najmanjših kvadratov. Natančneje, v modelu preverjamo normalno porazdelitev, multikolinearnost, heteroskedastičnost in avtokorelacijo.
Keywords:ekonometrična analiza, zaposlitvena funkcija, trg dela, metoda najmanjših kvadratov, Madžarska, Estonija
Year of publishing:2020
Publisher:[V. Muršič]
Source:Maribor
UDC:330.4
COBISS_ID:38174723 New window
NUK URN:URN:SI:UM:DK:NSNJGDNR
Views:306
Downloads:62
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:29.07.2020

Secondary language

Language:English
Title:An econometric analysis of the employment function for Hungary and Estonia
Abstract:The employment function serves the economic profession as an important instrument at the microeconomic or macroeconomic level. At the microeconomic level, it helps guiding the employment policy. More broadly, at the macroeconomic level, it helps analyzing data that serves as basis for decision-making of economic policy of a particular economy and is largely tied to the labor market. The diploma project is based on the analysis of employment function models for Hungary and Estonia. The analysis is based on data imported from the European statistical database Eurostat and covers the period between 2000 and 2019. Based on economic theory, two explanatory variables are included in our model: real gross domestic product (RBDP) and real wages (RW). The dependent variable is employment (E). For each of the analyzed economies, three different functions are determined and thus a linear function, a log-log function, and a function with a deferred dependent variable are encountered. Based on the size of the determination coefficients and the results of the RESET-test, the Box-Cox test and the Chow test, the most appropriate functional form for each of the countries is being selected. In the last step, in the selected model, the validity of the assumptions of the least squares method are to be inspected with appropriate econometric tests, more specifically, we are inspecting normal distribution, multicollinearity, heteroskedasticity, and autocorrelation in the model.
Keywords:econometric analysis, employment function, labor market, ordinary least squares method, Hungary, Estonia


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