Details

Pokojninske reforme v baltskih državah : diplomsko delo
ID Božič, Tilen (Author), ID Stanovnik, Tine (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/u_diplome/bozic4149.pdf This link opens in a new window

Language:Slovenian
Keywords:Litva, Latvija, Estonija, pokojninsko zavarovanje, invalidsko zavarovanje, reforme, demografija, trendi, mednarodne primerjave
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[T. Božič]
Year:2010
Number of pages:II, 47, 13 str.
PID:20.500.12556/RUL-14279 This link opens in a new window
UDC:368.914
COBISS.SI-ID:19306982 This link opens in a new window
Publication date in RUL:11.07.2014
Views:1407
Downloads:472
Metadata:XML DC-XML DC-RDF
:
BOŽIČ, Tilen, 2010, Pokojninske reforme v baltskih državah : diplomsko delo [online]. Bachelor’s thesis. Ljubljana : T. Božič. [Accessed 31 March 2025]. Retrieved from: http://www.cek.ef.uni-lj.si/u_diplome/bozic4149.pdf
Copy citation
Share:Bookmark and Share

Secondary language

Language:Unknown
Keywords:Lithuania, Latvia, Estonia, old-age pension insurance, disability insurance, reforms, demography, trends, international comparisons

Similar documents

Similar works from RUL:
  1. Deep learning methods and their applications
  2. Automatic text summarization of Slovene texts using deep neural networks
  3. Automatic image captioning using deep neural networks
  4. Operational calculus on program spaces
  5. Online benchmark environment for multi-agent reinforcement learning
Similar works from other Slovenian collections:
  1. Zaznavanje sentimenta v novicah z globokimi nevronskimi mrežami
  2. Predicting GPS tracks with deep neural networks
  3. Person age estimation based on digital images using convolutional neural networks
  4. Forecasting probability of default with neural networks
  5. Comparing adversarial example attacks on deep neural networks and defensive approaches

Back