Pregled bibliografske jedinice broj: 937900
Maternity support policies: a cluster analysis of 22 European Union countries
Maternity support policies: a cluster analysis of 22 European Union countries // Proceedings of the ISCCRO - International Statistical Conference in Croatia / Dumičić, Ksenija ; Erjavec, Nataša ; Pejić Bach, Mirjana ; Žmuk, Berislav (ur.).
Zagreb: Hrvatsko statističko društvo, 2018. str. 117-124 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 937900 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Maternity support policies: a cluster analysis of 22 European Union countries
Autori
Pezer, Martina
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the ISCCRO - International Statistical Conference in Croatia
/ Dumičić, Ksenija ; Erjavec, Nataša ; Pejić Bach, Mirjana ; Žmuk, Berislav - Zagreb : Hrvatsko statističko društvo, 2018, 117-124
Skup
2nd International Statistical Conference in Croatia (ISCCRO 2018)
Mjesto i datum
Opatija, Hrvatska, 10.05.2018. - 11.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
cluster analysis ; fertility ; gender equality ; maternity
Sažetak
Maternity support varies among the European Union countries, but with shared goals such as improving natality, gender equality, fostering employment and maintaining incomes. Objective of the research is to identify clusters of countries regarding the maternity support policies on the trail of Esping-Andersen’s categorisation of welfare states. Twelve indicators are used to capture the following three dimensions of the variety of the maternity support: design of public policies, their generosity and national context (economic performance, education and poverty levels, inequality, etc.). By using clustering methods and principal component analysis, the results suggest four regional/cultural clusters. Additionally, the proposed clusters are used to analyse the differences among countries in fertility levels, mothers’ employment rates and gender gap in human development. Results are not definite, but do indicate that fertility levels are higher in economically stronger clusters, while lower gender gaps could be attributed to longer and better paid parental leaves.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Projekti:
HRZZ-UIP-2014-09-4096 - Primjena mikrosimulacijskih modela u analizi poreza i socijalnih naknada u Hrvatskoj (AMMATSBC) (Urban, Ivica, HRZZ ) ( CroRIS)
Ustanove:
Institut za javne financije, Zagreb
Profili:
Martina Pezer
(autor)