Skills Mismatch Measurement in Moldova

Autor/in	Midari, Veronica
Institution	European Training Foundation (ETF) (Italy)
Titel	Skills Mismatch Measurement in Moldova
Quelle	(2019), (60 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Quantitative Daten; Foreign Countries; Job Skills; Labor Market; Supply and Demand; Employment Qualifications; Education Work Relationship; Underemployment; Labor Force; Unemployment; Youth Employment; Wages; Educational Attainment; Age Differences; Demography; Elementary Secondary Education; Higher Education; Vocational Education; Gender Differences; Moldova + Suchen Sie Ihr Suchwort? Ausland; Produktive Fertigkeit; Labour market; Arbeitsmarkt; Bedarfsplanung; Employment qualification; Vocational qualification; Vocational qualifications; Berufliche Qualifikation; Unterbeschäftigung; Labour force; Arbeitskraft; Erwerbsbevölkerung; Arbeitslosigkeit; Youth work; Jugendarbeit; Wage; Löhne; Bildungsabschluss; Bildungsgut; Age; Difference; Age difference; Altersunterschied; Demografie; Hochschulbildung; Hochschulsystem; Hochschulwesen; Ausbildung; Berufsbildung; Geschlechterkonflikt; Moldava; Moldau (Republik); Moldau; Moldawien; Moldawa; Moldowa
Abstract	The report looks into the incidence of skills mismatches in the Republic of Moldova (hereafter referred to as Moldova). In 2017, the European Training Foundation (ETF) initiated a mismatch measurement project in selected ETF partner countries with a view to showcasing gaps and shortages in skills utilisation on the labour market including aspects of the transition to work. In 2017 four pilot countries were selected: Egypt, Georgia, Morocco, and Serbia. The work continued in 2018 with another three: North Macedonia, Montenegro, and Moldova. A skills mismatch in the current context entails a mismatch in the level of education or skills with those required in the position, the so-called vertical mismatch, but it also includes a horizontal mismatch in which the types of skills gained in education do not match the requirements even though the overall education level does match. Seven indicators (or clusters of indicators) are calculated and discussed in this report: (1) unemployment rates by various dimensions, including proportion of unemployed versus employed; (2) young people not in employment, education or training (NEET); (3) variance of relative unemployment rates; (4) coefficient of variation (CVAR) by skills; (5) relative wages; (6) occupational mismatch; and (7) over- and under-education. Chapter 1 provides a quick overview of the main socio-demographic, economy and labour market, education and skills aspects; while Chapter 2 discusses the major trends of skills supply and demand over the last years, including difficulties in school to work transition or upskilling, re-skilling, and job placement of adults. Chapter 3 focuses on data situation, in particular issues related to availability, regularity, reliability. It also explains the methodological approach to skills mismatch indicators, including calculation aspects. The results of the skills mismatch calculation are discussed at length in Chapter 4. The final chapter concludes and hints at main avenues for further work and follow up. [For the cross-country report, "Skills Mismatch Measurement in ETF Partner Countries," see ED597236.] (ERIC).
Anmerkungen	European Training Foundation. Villa Gualino Viale Settimio Severo 65, I-10133 Torino, Italy. Tel: +39-011-630-2222; Fax: +39-011-630-2200; e-mail: info@etf.europa.eu; Web site: https://www.etf.europa.eu/en
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01