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Pregled bibliografske jedinice broj: 228749

A multivariate methodology for modelling regional development in Croatia


Cziraky, Dario; Puljiz, Jakša; Jurlin, Krešimir; Maleković, Sanja; Polić, Mario
A multivariate methodology for modelling regional development in Croatia // Croatian international relations review, 8 (2002), 26/27; 35-52 (podatak o recenziji nije dostupan, članak, znanstveni)


CROSBI ID: 228749 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A multivariate methodology for modelling regional development in Croatia

Autori
Cziraky, Dario ; Puljiz, Jakša ; Jurlin, Krešimir ; Maleković, Sanja ; Polić, Mario

Izvornik
Croatian international relations review (1331-1182) 8 (2002), 26/27; 35-52

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Croatia; regional development; statistics; methodology; multivariate methodology; covariance structure analysis; factor analysis; structural equation modelling; latent variables

Sažetak
His paper proposes a multivariate statistical approach based on covariance structure analysis for assessment of the regional development level with an application to development ranking of 545 Croatian municipalities. Municipality-level data ware collected on economic, structural, and demographic dimensions and preliminary factor and principal component analysis were computed to analyse empirical groupings of the variables. Next, confirmatory factor analytic models were estimated with the maximum likelihood technique and subsequently their implied structure was formally tested. Testing was extended to a joint model including all three dimensions (economic, structural and demographic) and their covariance structure was modelled with a recursive structural equation model. Finally, scores were estimated for latent variables thereby allowing (i) estimation of the latent development level of the territorial units, (ii) ranking of all units on an interval scale in respect to their latent development level, and (iii) selection of a given percentage of units for inclusion into special state-care subsidy programme.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Projekti:
0017001

Ustanove:
Institut za razvoj i međunarodne odnose

Profili:

Avatar Url Krešimir Jurlin (autor)

Avatar Url Mario Polić (autor)

Avatar Url Sanja Maleković (autor)

Avatar Url Jakša Puljiz (autor)

Poveznice na cjeloviti tekst rada:

Hrčak

Citiraj ovu publikaciju:

Cziraky, Dario; Puljiz, Jakša; Jurlin, Krešimir; Maleković, Sanja; Polić, Mario
A multivariate methodology for modelling regional development in Croatia // Croatian international relations review, 8 (2002), 26/27; 35-52 (podatak o recenziji nije dostupan, članak, znanstveni)
Cziraky, D., Puljiz, J., Jurlin, K., Maleković, S. & Polić, M. (2002) A multivariate methodology for modelling regional development in Croatia. Croatian international relations review, 8 (26/27), 35-52.
@article{article, year = {2002}, pages = {35-52}, keywords = {Croatia, regional development, statistics, methodology, multivariate methodology, covariance structure analysis, factor analysis, structural equation modelling, latent variables}, journal = {Croatian international relations review}, volume = {8}, number = {26/27}, issn = {1331-1182}, title = {A multivariate methodology for modelling regional development in Croatia}, keyword = {Croatia, regional development, statistics, methodology, multivariate methodology, covariance structure analysis, factor analysis, structural equation modelling, latent variables} }
@article{article, year = {2002}, pages = {35-52}, keywords = {Croatia, regional development, statistics, methodology, multivariate methodology, covariance structure analysis, factor analysis, structural equation modelling, latent variables}, journal = {Croatian international relations review}, volume = {8}, number = {26/27}, issn = {1331-1182}, title = {A multivariate methodology for modelling regional development in Croatia}, keyword = {Croatia, regional development, statistics, methodology, multivariate methodology, covariance structure analysis, factor analysis, structural equation modelling, latent variables} }




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