Using online job postings to predict key labour market indicators

Number of the records: 1

Title	Using online job postings to predict key labour market indicators
Author	Štefánik Miroslav 1983- SAVEKON - Ekonomický ústav SAV ^SCOPUS ^RID ^ORCID
Co-authors	Lyócsa Štefan 1982- SAVEKON - Ekonomický ústav SAV ^SCOPUS ^RID ^ORCID
	Bilka Matúš SAVEKON - Ekonomický ústav SAV

Source document	Social Science Computer Review. Vol. 41, iss. 5 (2023), pp. 1630-1649
Language	eng - English
Country	US - United States of America
Document kind	rozpis článkov z periodík (rbx)
Citations	FABO, B. - MÝTNA KUKREKOVÁ, L. Methodological issues related to the use of online labour market data. In ILO Working Paper (Geneva, ILO), 2022, no. 68, pp. 1-40. Dostupné na: https://doi.org/10.54394/ZZBC8484
Category	ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)
Category of document (from 2022)	V3 - Vedecký výstup publikačnej činnosti z časopisu
Type of document	článok
Year	2023
Registered in	WOS
Registered in	SCOPUS
DOI	10.1177/08944393221085705

article

	File name	Access	Size	Downloaded	Type	License
	Using online job postings to predict key labour market indicators.pdf	Neprístupný/archív	620.5 KB	2	Publisher's version

rok	CC	IF	IF Q (best)	JCR Av Jour IF Perc	SJR	SJR Q (best)	CiteScore
	A

rok vydania	rok metriky	IF	IF Q (best)	SJR	SJR Q (best)
2023	2022	4.1	Q1	1.662	Q1

Number of the records: 1