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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