id: 05762407
dt: a
an: 05762407
au: Jurun, Elza; Pivac, Snježana
ti: Multiple Monte Carlo simulations ‒ case study of Croatian counties.
so: Zadnik Stirn, Lidija (ed.) et al., SOR ’09. Proceedings. The 10th
    international symposium on operational research in Slovenia, Nova
    Gorica, Slovenia, September 23‒25, 2009. Ljubljana: Slovenian Society
    Informatika (SDI), Section for Operational Research (SOR) (ISBN
    978-961-6165-30-3/pbk). 507-516 (2009).
py: 2009
pu: Ljubljana: Slovenian Society Informatika (SDI), Section for Operational
    Research (SOR)
la: EN
cc: 
ut: multiple regression model; Gauss Markov conditions; regional GDP per
    capita; comparative analysis
ci: 
li: 
ab: Summary: This paper is part of an extensive research about Croatian
    economic challenges within the global recession environment. Its focus
    is on estimation of integral Croatian Counties models by multiple Monte
    Carlo simulations. The main intention is to quantify each partial
    influence of a set of independent regional variables (employment, gross
    investment, production of more important agricultural products, GVA per
    person employed, value of construction works, exports, imports, foreign
    tourist arrivals, foreign tourist nights, ecology\dots) on the regional
    GDP per capita. An integral part of this paper is the comparative
    analysis with the results given by the classical approach of
    econometric multiple regression.
rv: