Personal Information
Svetlana Jesiļevska

Faculty of Business, Economics and Management, University of Latvia, Riga, Latvia

Svetlana Jesiļevska
Educations
to 2009, Bachelor’s degree in Management Sciences , University of Latvia
to 2011, Master’s degree in Management Sciences (Mg. sc. administr.) , University of Latvia
to 2017, PhD in Economics (Dr.oec.) , University of Latvia
Work Experiences
From 2009 , senior officer , Central statistical bureau of Latvia
From 2012 , Eurostat STI working group member
From 2015 , OECD NESTI group member
From 2017 , researcher , University of Latvia
From 2017 , president , Eurointegration and economic development public unit
Projects
From 2011 to 2012, ESSnet on consistency of concepts and methods of business-related statistics 2010 project on statistical units n° 30121.2010.005 - 2010.405, European Commission - EUROSTAT. , • Prole, S., Jesiļevsla, S. “Deliverable 3.1. Identification and evaluation of business statistics regulations inconssitency.” Available: http://ec.europa.eu/eurostat/cros/system/files/Deliverable_31_0.pdf • Jesiļevska, S. et al. “Deliverable 3.2. Identification and evaluation of Member States inconsistency. Part 1.” Available: http://ec.europa.eu/eurostat/cros/system/files/Deliverable_32_Part1.pdf • Prole, S., Jesiļevsla, S. “Deliverable 4.3. Riga Workshop: ESSnet on Consistency – Project on statistical units. Report.” Available: http://ec.europa.eu/eurostat/cros/system/files/Deliverable_43_Riga%20Workshp%20Report_0.pdf • “Outline on identification and evaluation of inconsistencies in regulations for business related statistics”: ESSnet on Consistency – Project on Statistical Units – Workshop Riga 2012, Latvija, Rīga, 19.-20.06.2012.
Speciality
statistics on innovation and R&D
data quality
economic development
eurointegration
Book
Jesiļevska, S. 2014, Latvijas ārvalstu tiešo investīciju gravitācijas modelis. Globeedit. ISBN:978-3-639-48250-8
Šķiltere D., Jesiļevska S., Apsalone M., Cals I., Apsīte A., Flores R. M., Batraga A., Rūtītis D. (2017). Latvijas uzņēmējdarbības konkurētspējas uzlabošanas starpdisciplinārie aspekti. Monogrāfija. Rīga: LU Akadēmiskais apgāds. R. Škapara un Ē. Šumilo redakcijā, 120 lpp., ISBN 978-9934-18-218-1
Journal Articles
Jesiļevska, S. “Data quality dimensions to ensure optimal data quality”, The Romanian Economic Journal, 2017, Year XX, No 63, pp. 89-103.
Jesiļevska, S. “Aspects of Statistics on Innovation in Latvia and Some Guidelines for Its Effective Use”, Scientific Journal of RTU / Economics and Business, 2016, Volume 29, pp. 37-42.
Jesiļevska, S. “A New Framework for Data Validity and Some Shortcomings of Most Important Data Quality Dimensions”, Scientia et Societas, 2016, Volume XII, Issue 2, pp. 123-142.
Jesiļevska, S. “Iterative method for reducing the impact of outlying data points: Ensuring data quality”, Statistical Journal of the IAOS: Journal of the International Association for Official Statistics, 2016, Vol. 32, No. 2, pp. 257-263.
Jesiļevska, S. “Data quality aspects in Latvian Innovation System”, Proceedings of the International Conference New Challenges of Economic and Business Development – 2016 Society, Innovations and Collaborative Economy: Riga, LU, 12.-14.05.2016., pp. 307-320.
Jesiļevska, S. “Some notes on statistics on innovations and innovation support policy in Latvia”, Proceedings of the 57th Internatinal Scientific Conference of Daugavpils University: Daugavpils, DU, 16.-17.04.2015., pp. 13-28.
Šķiltere, D., Jesiļevska, S. “Examining Dimensions of Data Validity”, International Journal of Statistics and Economics, 2014, Vol. 15, No. 3, pp.18-24.
Šķiltere, D., Jesiļevska, S. “Data quality evaluation in statistical data processing”, Statistical Journal of the IAOS: Journal of the International Association for Official Statistics, 2014, Vol. 30., No. 4., pp. 425-430.
Jesiļevska, S. “Difficulties with Innovation Statistics: Some Key Issues”, Proceeding of the International Scientific Conference New Challenges of Economic and Business Development – 2014: Riga, LU, 8.-10.05.2014., pp. 199-207.
Jesiļevska, S. “Similarities and differences of conducting innovation survey – Latvian and Estonian approaches”, Journal of Economics and Management Research, 2014, Vol. 3, pp. 42–52.
Šķiltere, D., Jesiļevska, S. “Overview and prerequisites of well-functioning Latvian national innovation system”, The Romanian Economic Journal, 2013, Year XVI, No 47, pp. 111-127.
Šķiltere, D., Jesiļevska, S. “Innovative Performance and Innovation System of Latvia”, Regional Formation and Development Studies. Journal of Social Sciences, 2013, No. 2 (10), pp. 211-218.
Šķiltere, D., Jesiļevska, S. “Latvian Innovation Activity and Perspectives in the EU Context”, Scientific Journal “European Integration Studies”, 2013, No.7, pp. 185-193.
Šķiltere, D., Jesiļevska, S. “Building the System of Innovation Capability Indicators: Case of Latvia”, Eurasian Journal of Business and Economics, 2013, 6 (12), pp. 113-128.
Šķiltere, D., Jesiļevska, S. “Aspects of Properly-Functioning National Innovation System: the case of Latvia”, Societas et Iurisprudentia. International Scientific Online Journal for the Study of Legal Issues in the Interdisciplinary Context, 2013, Volume 1, pp. 224-243.
Šķiltere, D., Jesiļevska, S. “Data quality measurement principles and dimensions”, Journal of Social and Economic Statistics, 2013, Volume 2, Number 2, pp.61-70.
Jesiļevska, S. “Measuring Innovative Performance”, Proceeding of the International Scientific Conference New Challenges of Economic and Business Development – 2013: Riga, LU, 9.-11.05.2013., pp. 327-338.
Šķiltere, D., Jesiļevska, S. “Ārvalstu tiešās investīcijas kā inovatīvās darbības veicināšanas faktors Latvijas ekonomikā”, Statistikas zinātnisko pētījumu rezultāti 2012. Zinātniskie raksti: Riga, CSP, 2012, 93-107 lpp.
Jesiļevska, S. “Methodological aspects of innovation statistics and innovativeness of Latvia”, Lithuanian Journal of Statistics, 2012, Vol. 51, No 1, pp. 57-65.
Jesiļevska, S. “Statistical aspects of collecting innovation data”, Journal of Economics and Management Research, 2012, Vol. 1, pp. 54–66.
Jesiļevska, S. “Innovation in a knowledge-based economy and Latvia’s innovative performance”, Humanities and Social Sciences, 2012, Vol 20, Issue 2, pp. 67-85.
Conference Papers
“The Community Innovation survey – Latvian experience”: Fifth Meeting of the Eastern Partnership’s Panel of Statistics on R&D, ICT, Innovation Statistics. Uniter Platform 2: “Economic Integration and Convergence with EU Policies”, Georgia, Tbilisi, 22.-23.05.2017.
“Analysis of Deficiencies of Data Quality Dimensions”: International Conference “New Challenges of Economic and Business Development – 2017”, Latvia, Rīga, 18.-20.05.2017
“Data quality aspects in Latvian Innovation System”: International Conference “New Challenges of Economic and Business Development – 2016 Society, Innovations and Collaborative Economy”, Latvia, Rīga, 12.-14.05. 2016.
“What can be learned from an innovation survey?”: International Conference “European Integration and Baltic Sea Region: Diversity and Perspectives 2015”, Latvia, Rīga, 11.–13.06.2015. (acknowledgement for the best section’s presentation)
“Some notes on statistics on innovations and innovation support policy in Latvia”: International Conference “The 57th International Scientific Conference of Daugavpils University”, Latvia, Rīga, 16. – 17.04.2015.
“Difficulties with Innovation Statistics: Some Key Issues”: International Conference “New Challenges of Economic and Business Development – 2014”, Latvia, Rīga, 8.-10.05.2014.
“Data – based innovation: understanding the value of data”: International Conference “55th International RTU Conference SCEE – 2014”, Latvia, Rīga, 14.-17.10.2014.
“Latvian Innovation Activity and Perspectives in the EU contex”: 11th International Scientific Conference “Political and Economic Challenges Stimulating Strategic Choices towards Europe of Knowledge”, Lithuania, Kaunas, 26.04.2013.
“Measuring Innovative Performance”: International Conference “New Challenges of Economic and Business Development – 2013”, Latvia, Rīga, 9.-11.05.2013.
Honors and Awards
Iterative method for the reducing the impact of outlying data points received the 3rd Young Statisticians Prize 2015 organized by the International Association of Official Statistics – IAOS.
Invited Talks
“The Community Innovation survey – Latvian experience”: Fifth Meeting of the Eastern Partnership’s Panel of Statistics on R&D, ICT, Innovation Statistics. Uniter Platform 2: “Economic Integration and Convergence with EU Policies”, Georgia, Tbilisi, 22.-23.05.2017.
ADDRESS
Science Publishing Group
548 FASHION AVENUE
NEW YORK, NY 10018
U.S.A.
Tel: (001)347-688-8931