Mismatch unemployment in Austria: the role of regional labour markets for skills

Figures & data

Table 1. Employment and unemployment shares, by federal state.

	Employment (%)	Unemployment (%, PES)	Unemployment (%, ILO)
Burgenland	3.3%	3.2%	3.0%
Carinthia	6.3%	7.7%	6.0%
Lower Austria	19.2%	17.1%	16.9%
Salzburg	6.6%	4.6%	4.2%
Styria	14.3%	13.6%	12.1%
Tyrol	8.9%	7.2%	5.3%
Upper Austria	17.6%	11.4%	12.8%
Vienna	19.2%	31.9%	36.0%
Vorarlberg	4.6%	3.5%	3.7%

Note: Percentages are calculated on pooled data from 2004:Q1 to 2016:Q4 (52 observations).

Sources: Data on registered unemployed (PES) are from AMS Österreich (2020); and data on employment and International Labour Organization (ILO) unemployment are from Statistik Austria (2020).

Table 2. Employment and unemployment, by skill category.

	Employment (%)	Unemployment (%)
Analytical non-routine tasks	15.4%	7.3%
Interactive non-routine tasks	21.6%	13.4%
Cognitive routine tasks	19.2%	14.6%
Manual routine tasks	13.3%	31.7%
Manual non-routine tasks	30.5%	30.7%

Note: Shares are calculated as a fraction of total values for Austria. Quarterly data are from 2004:Q1 to 2016:Q4 (52 observations).

Source: Data on registered unemployed (PES) are from AMS Österreich (2020); and data on employment are from Statistik Austria (2020).

Figure 1. Unemployment rates and vacancy rates, by region.

Note: Quarterly data, 2004–16.

Source: Statistik Austria (2020).

Figure 2. Unemployment rates and vacancy rates, by skill category.

Note: Quarterly data, 2004–16.

Source: Statistik Austria (2020).

Figure 3. Transition rates between labour market statuses, Austria, 2004–16.

Note: Calculations are based on quarterly data from 2004 to 2016.

Source: Statistik Austria (2020).

Figure 4. Job-finding rates, by region and skill category.

Note: Calculations are based on quarterly data from 2004 to 2016. ISCO-08 occupations are grouped as manual routine tasks, manual non-routine tasks, analytical non-routine tasks, interactive non-routine task and cognitive routine tasks (see Table B4 in Appendix B in the supplemental data online for details).

Source: Statistik Austria (2020).

Figure 5. Mismatch indicator and Beveridge curves, aggregated data for Austria, 2004–16.

Note: The trend was obtained by local linear smoothing. The hypothetical Beveridge curves are estimated with the average matching efficiency before 2014 and after 2014.

Sources: Calculations based on data from Statistik Austria (2020); and AMS Österreich (2020).

Figure 6. Mismatch unemployment, aggregated data for Austria, 2004–16.

Note: Mismatch unemployment is the difference between the unemployment rate under a stable matching productivity and the steady-state unemployment rate.

Figure 7. Mismatch unemployment, by region.

Note: Mismatch unemployment is the difference between the unemployment rate under a stable matching productivity and the steady-state unemployment rate.

Figure 8. Mismatch unemployment, by skill level.

Note: Mismatch unemployment is the difference between the unemployment rate under a stable matching productivity and the steady-state unemployment rate.

Figure 9. Mismatch unemployment, by region and skill level.

Note: Mismatch unemployment is the difference between the unemployment rate under a stable matching productivity and the steady-state unemployment rate.

AMS Österreich. (2020). Arbeitsmarktdaten online. Data at http://iambweb.ams.or.at/ambweb/.

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Statistik Austria. (2020). Mikrozensus-Arbeitskräfteerhebung. Data at https://www.statistik.at/web_de/services/mikrodaten_fuer_forschung_und_lehre/datenangebot/standardisierte_datensaetze_sds/index.html#index3.

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