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Obtaining statistical data

Organisations source: ARIS

SICENTER Socio-economic Indicators Center

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Research activity

Code Science Field Subfield
5.02.01  Social sciences  Economics  Economy sciences 
5.02.02  Social sciences  Economics  Business sciences 

Code Science Field
S188  Social sciences  Economics of development 
S180  Social sciences  Economics, econometrics, economic theory, economic systems, economic policy 
S196  Social sciences  Social economics 
S189  Social sciences  Organizational science 
P160  Natural sciences and mathematics  Statistics, operations research, programming, actuarial mathematics 

Code Description
1  Consultancy 
2  Research 
Evaluation (rules)
source: COBISS
Points
180.73
A''
150.73
A'
150.73
A1/2
150.73
CI10
121
CImax
97
h10
4
A1
0.78
A3
0
Data for the last 5 years (citations for the last 10 years) on September 21, 2023; A3 for period 2017-2021
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS 7  130  120  17.14 
Scopus 11  189  179  16.27 
Research groups (1)
no. Code Name of group Responsible person No. of publications
1. 1516-001  Development and Inequality, Time Distance in Economics and Statistics  PhD Pavle Sicherl   279 
Researchers (3)
no. Code Name and surname Research area Status No. of publications
1. 32852  Jaka Hajnšek    Junior expert or technical associate  0 
2. 50694  Jaka Kus    Junior expert or technical associate  0 
3. 03881  PhD Pavle Sicherl  Social sciences  Researcher  279 
Research projects (5) Legend
no. Code Title Period Responsible person No. of publications
1. V2-0501  Slovenija - nizkoogljična družba (Slovene)  9/1/2008 - 8/31/2011  PhD Stanko Hočevar   5,454 
2. V5-0269  Implikacije dolgoročnih prognoz razvoja sveta, EU in držav BRIK na slovensko strategijo odnosov z velikimi silami (Slovene)  10/1/2006 - 3/31/2008  PhD Marjan Svetličič   2,144 
3. L5-6461  Extension of the time distance method to the problem of digital divides  7/1/2004 - 6/30/2007  PhD Vasja Vehovar   1,544 
4. V5-0538  Krovni sistem indikatorjev za spremljanje SGRS (Slovene)  1/1/2002 - 10/31/2004  PhD Pavle Sicherl   325 
5. V5-0378  Krovni sistem indikatorjev za spremljanje SGRS (Slovene)  11/1/2000 - 4/30/2001  PhD Pavle Sicherl   325 
ARIS research and infrastructure programmes (3) Legend
no. Code Title Period Responsible person No. of publications
1. P5-0117  Competitiveness, innovativeness, efficency and sustainable development of the Slovenian economy in the context of EU development  1/1/2014 - 12/31/2017  PhD Nevenka Hrovatin   6,976 
2. P5-0117  Konkurenčnost, inovativnost, učinkovitost in trajnostni razvoj slovenskega gospodarstva v procesih razvoja EU (Slovene)  1/1/2009 - 12/31/2013  PhD Nevenka Hrovatin   7,189 
3. P5-0117  Industrial Policy, competitiveness and entrepreneurship in the light of the European Union enlargement  1/1/2004 - 12/31/2008  PhD Nevenka Hrovatin   5,659 
International projects (1) source: SICRIS
no. Code Title Period Responsible person
1. FP5-HUMAN POTENTIAL-HWF-52485  Households, work and flexibility  4/1/2000 - 3/31/2003   
Description
SICENTER (Socio-economic Indicators Center) is a private non-profit research institution registered with the Ministry of Science and Technology in Slovenia. Its main focus of activities is research and consultancy in the field of analysis of economic and social indicators at various levels of aggregation, with application in economics, politics, business and statistics. In empirical research and decision making the art of handling and understanding of different views of data is crucial for discovering the relevant patterns. A novel conceptual and analytical approach in integrating comparisons across time and space has been developed. It offers a new view in comparative analysis in many fields, providing a novel statistical measure, and a concept of multidimensional comparison and evaluation that introduces new possibilities for presentation, visualization and semantics. The new statistical measure, time distance (expressed in units of time), has been generalised to complement conventional measures in time series comparisons, regressions, models, forecasting and monitoring, and to provide from existing data new insights due to an added dimension of analysis. Time distance concept is theoretically universal, intuitively understandable and immanently practical. It has two great advantages: it offers a new view of data that is exceptionally easy to understand and communicate, and it may allow for developing and exploring new hypotheses and perspectives that cannot be adequately dealt without the new concept. Potential users such as governments, international organizations, banks, consultancy organisations, and companies may be interested in the additional insight from existing data provided by the time distance. The obvious applications to business problems are benchmarking, gap analysis, scenarios, and monitoring. Recent applications in studies and papers deal with cohesion in the EU (for DG XVI), time distances between actual and estimated values in regressions (for National Bank of Slovenia), disparities between countries, regions, social and economic groups (for Strategy of Economic Development of Slovenia), and a number of papers for international conferences.
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