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Erschienen in: Social Indicators Research 3/2018

07.04.2017

Mismatch in the Norwegian Labour Market 2003–2013: Did Immigrants Make a Difference?

verfasst von: Dag Kolsrud

Erschienen in: Social Indicators Research | Ausgabe 3/2018

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Abstract

For the Norwegian economy, 2003–2013 was a period of large growth and big business cycle fluctuations. The aggregate uv-curve reflects this and shows a reduction in both the vacancy rate and the unemployment rate from 2003 to 2013, suggesting improved labour market matching over the period. The inclusion of Eastern European countries in the European Union in 2004 and 2007 caused an increasing influx of foreign job seekers. I quantify regional and occupational mismatch, and make a distinction between natives and immigrants. Indicators show no reduction in mismatch over time, which therefore cannot account for the increased labour market efficiency that the uv-curve suggests. However, ‘footloose’ immigrants seem to have adapted better than ‘rooted’ natives to the structure of labour demand in the regional dimension, and thus to have contributed to a lower level of mismatch than would have resulted without immigrants. In the occupational dimension immigrants made no significant difference. Levels and differences in employment and unemployment among and between immigrants and natives were not well explained by their education levels or types.

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Fußnoten
1
In the literature many authors do not distinguish between the empirical uv-curve and the theoretical Beveridge curve, but use the two terms interchangeably.
 
2
The approximate equality of the variance expression and the logarithmic expressions of M u and the coefficient ½ comes from expanding log(u s /u) around 1 and weighing with each sector’s share of the labour force, see Layard et al. (1997, ch. 6.3) for derivations based on economic theory.
 
3
In the expression for M U,V , the factor 2 comes from assigning equal elasticity ½ to U and V in the Cobb-Douglas form of a hiring function (making U and V equally important) and assuming that the sum is larger than ½ and closer to 1. See Layard et al. (1997, ch. 6.6) for derivations based on economic theory.
 
4
A time subscript t was dropped to simplify notation and make the formulas easier to read.
 
5
The ‘general’ indicator sums up the absolute differences between two distributions of shares. Specific examples are e.g. the mismatch indicator I 1 in Jackman and Roper (1987) and the segregation index D in Duncan and Duncan (1955).
 
6
Dividing by 2 is necessary to get the proportion that equalises the shares, e.g. two groups of 11 and 7 persons are equalized to 9 persons each by moving (11–7)/2 = 2 persons from the larger to the smaller group.
 
7
Eleven yearly observations are too little for calculations of reliable second order moments like correlations. The data also have to be stationary (no trend) for correlations not to be spurious. Nevertheless, the only meaningful correlation is between M u and M U,V for natives (and for all) in counties: 0.75. The other series either have low correlation, or very high correlation due to trends.
 
8
Immigrants increased in construction, services, engineering and ICT; natives in health and care, education and academia.
 
9
Reduced differences between the proportion of immigrants and the proportion of natives that were unemployed in manufacturing, engineering and ICT, children and youth work.
 
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Metadaten
Titel
Mismatch in the Norwegian Labour Market 2003–2013: Did Immigrants Make a Difference?
verfasst von
Dag Kolsrud
Publikationsdatum
07.04.2017
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 3/2018
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-017-1628-y

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