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The matching process in the Swedish labour market : A study of the matching efficiency´s development over time and the regional differences

Sofie Andersson-2015-01-01
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Purpose: Estimate the matching efficiency on the Swedish labour market to see how it has developed over time as well as determine whether there are any regional differences. I will use a panel data set extending from January 1996 to December 2014 on county level.Method: Estimate labour market matching functions with a fixed effects model including dummy variables for each county, year and month in order to capture the region and time fixed effects.Result: The results indicate that the labour market matching process has impaired during recent years where a significant decrease occurred between the years 2004 and 2005. Since then, the matching efficiency has continued to decrease, thus implying that structural changes have occurred in the labour market. The regional differences in matching efficiency between the Swedish counties still exist when comparing the results to previous studies’ conclusions. Blekinge continues to be in the bottom with the lowest matching efficiency whilst Jamtla

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Purpose: Estimate the matching efficiency on the Swedish labour market to see how it has developed over time as well as determine whether there are any regional differences. I will use a panel data set extending from January 1996 to December 2014 on county level.Method: Estimate labour market matching functions with a fixed effects model including dummy variables for each county, year and month in order to capture the region and time fixed effects.Result: The results indicate that the labour market matching process has impaired during recent years where a significant decrease occurred between the years 2004 and 2005. Since then, the matching efficiency has continued to decrease, thus implying that structural changes have occurred in the labour market. The regional differences in matching efficiency between the Swedish counties still exist when comparing the results to previous studies’ conclusions. Blekinge continues to be in the bottom with the lowest matching efficiency whilst Jamtla

Keywords

Matching (statistics)EconomicsEconometricsSet (abstract data type)Order (exchange)Demographic economicsLabour economicsMathematics

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