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Table 1 Summary statistics of the regression data set

From: International trade and unemployment: towards an investigation of the Swiss case

Dependent variable Change in employment status Employment status
  (1) (2)
Observations and individuals:
 No. of observations 20,928 40,875
  With status “becoming unemployed” 463  
  With status “being unemployed”   1226
 No. of observed individuals 10,242 18,995
  Of which becoming unemployed at least once 461 (733 obs.)  
  Of which being unemployed at least once   1008 (2838 obs.)
 Mean no. of observations/individual 2.0 2.2
Trade covariates:
 Mean annual import changes 6.9% 6.3%
 Median annual import changes 5.8% 4.6%
 Mean annual export changes 7.6% 7.1%
 Median annual export changes 6.9% 6.4%
Industry characteristics:
 ICT intensive 37.2% 36.3%
 Not ICT intensive 62.8% 63.7%
 GAV sector 40.1% 39.6%
 Non-GAV sector 59.9% 60.4%
Worker and job characteristics:
 Mean age 42.6 41.2
 High-skilled 25.2% 23.9%
 Medium-skilled 52.1% 52.5%
 Low-skilled 22.8% 23.5%
 Swiss citizen 60.6% 59.0%
 Foreigner 39.4% 41.0%
 Male 70.4% 69.0%
 Female 29.6% 31.0%
 Single 24.4% 27.5%
 Married 64.0% 61.2%
 Widowed 1.7% 1.6%
 Divorced 10.0% 9.7%
 Full-time 86.4% 85.7%
 Part-time 13.6% 14.3%
 Fixed contract 98.6% 97.2%
 Temporary 1.4% 2.8%
 Short tenure (< 1 year) 2.5% 11.3%
 Medium tenure (1 to < 5 years) 29.3% 29.0%
 Long tenure (> 5 years) 68.3% 59.7%
  1. Source: Panel data set constructed using data from FOS (2009a), EZV (2009), KOF (2005) and FOS (2009b). Note that trade covariates and industry characteristics describe the industry which an individual is employed in