Table 4
Marginal effects of the determinants of the probability of being laid-off during the last three recessions (1981 to 1984, 1990 to 1994, 2008 to 2011)

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Marginal effects of the determinants of the probability of being laid-off during the last three recessions (1981 to 1984, 1990 to 1994, 2008 to 2011)


Table summary
This table displays the results of marginal effects of the determinants of the probability of being laid-off during the last three recessions (1981 to 1984. The information is grouped by variables (appearing as row headers), 1981 to 1984, 1990 to 1994 and 2008 to 2011, calculated using marginal effect and standard error units of measure (appearing as column headers).
Variables 1981 to 1984 1990 to 1994 2008 to 2011
  marginal effect standard error marginal effect standard error marginal effect standard error
Female 0.001 0.0002  Note *** 0.001 0.0002  Note * -0.002 0.0003  Note ***
Age/10 -0.011 0.0010  Note *** -0.01 0.0010  Note *** -0.016 0.0010  Note ***
Age squared/100 0.001 0.0001  Note *** 0.002 0.0001  Note *** 0.002 0.0001  Note ***
Education attainment (reference:
below university)		  
University -0.02 0.0010  Note *** -0.017 0.0010  Note *** -0.009 0.0004  Note ***
Job tenure (reference: 24 months
or less)		  
25 months to 60 months -0.033 0.0010  Note *** -0.036 0.0010  Note *** -0.018 0.0010  Note ***
More than 60 months -0.064 0.0010  Note *** -0.068 0.0010  Note *** -0.03 0.0010  Note ***
Region (reference: Ontario)  
Atlantic Provinces 0.015 0.0004  Note *** 0.019 0.0010  Note *** 0.01 0.0004  Note ***
Quebec 0.01 0.0004  Note *** 0.011 0.0004  Note *** 0.002 0.0004  Note *
Prairie Provinces -0.001 0.0004  Note *** 0.0003 0.0003 -0.005 0.0004  Note ***
Alberta -0.004 0.0005  Note *** -0.003 0.0004  Note *** -0.006 0.0010  Note ***
British Columbia 0.008 0.0004  Note *** 0.001 0.0004  Note *** -0.001 0.0005
Industry before displacement
(reference: primary industry and construction)		  
Manufacturing -0.021 0.0010  Note *** -0.029 0.0010  Note *** -0.017 0.0010  Note ***
Retail trade, accommodation,
and food services		 -0.045 0.0010  Note *** -0.053 0.0010  Note *** -0.039 0.0010  Note ***
High-skill services -0.059 0.0010  Note *** -0.058 0.0010  Note *** -0.034 0.0010  Note ***
Public services -0.042 0.0010  Note *** -0.048 0.0010  Note *** -0.03 0.0010  Note ***
Other service-producing industries -0.036 0.0010  Note *** -0.042 0.0010  Note *** -0.027 0.0010  Note ***
p<0.05            
p<0.10            
p<0.01            
Note(s): Marginal effects of the logit estimates on the probability of being laid-off are presented. The estimating equation regresses the binary dependent variable of whether a worker with a paid job in month t-1 was laid-off in month t on workers' demographics, education attainment, job tenure, region, and industry. Sample weights are used to provide estimates for the entire population. Standard errors account for complex survey design (stratification, clustering, and non-response).            
             
*
p<0.05
**
p<0.10
***
p<0.01
Note(s):
Marginal effects of the logit estimates on the probability of being laid-off are presented. The estimating equation regresses the binary dependent variable of whether a worker with a paid job in month t-1 was laid-off in month t on workers' demographics, education attainment, job tenure, region, and industry. Sample weights are used to provide estimates for the entire population. Standard errors account for complex survey design (stratification, clustering, and non-response).
Source(s):
Statistics Canada, Labour Force Survey.
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