EUROPEAN WEB INTELLIGENCE HUB (WIH) AS A DEDICATED TOOL FOR PRODUCING EXPERIMENTAL INDICATORS FROM ONLINE JOB ADVERTISEMENTS AT NATIONAL LEVEL Cover Image

ЕВРОПЕЙСКА СИСТЕМА ЗА СЪБИРАНЕ И АНАЛИЗ НА УЕБ ДАННИ (WIH) КАТО СРЕДСТВО ЗА ПРОИЗВОДСТВО НА ЕКСПЕРИМЕНТАЛНИ ПОКАЗАТЕЛИ ОТ ОНЛАЙН ОБЯВИТЕ ЗА РАБОТА НА НАЦИОНАЛНО НИВО
EUROPEAN WEB INTELLIGENCE HUB (WIH) AS A DEDICATED TOOL FOR PRODUCING EXPERIMENTAL INDICATORS FROM ONLINE JOB ADVERTISEMENTS AT NATIONAL LEVEL

Author(s): Galja Stateva, Kostadin Georgiev
Subject(s): Economy, National Economy, Human Resources in Economy, ICT Information and Communications Technologies, Socio-Economic Research
Published by: Национален статистически институт

Summary/Abstract: The Web Intelligence Hub (WIH) is a modern tool and part of the innovative agenda of the European Statistical System (ESS). The ambition is for WIH to become a high-quality source of web data, methodologies, and algorithms ready to be used for producing official innovative statistics at both European and national levels. The functionalities of WIH are applied through specific use cases. The subject of this article is the sole implemented and established use case - the collection and analysis of web data from online job advertisements (WIH-OJA) and the initial efforts of the National Statistical Institute’s (NSI) team to generate national experimental indicators based on data from online job advertisements within WIH. The data from OJA can be used as an additional source of information regarding requested skills for specific occupations, required levels of education, types of contracts, salary levels, and other characteristics of online job offerings. Such enriched data obviously offer an advantage over data from traditional surveys. Structural changes and labor market trends can be analyzed more timely than traditional official statistics allow.

  • Issue Year: 2023
  • Issue No: 2
  • Page Range: 45-57
  • Page Count: 13
  • Language: Bulgarian
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