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  • Despite some convergence in rates, the estimation of a separate logistic regression model for men and women covering the entire study period (1993 to 2007) showed that factors such as age, education level, region of residence, firm size, union coverage, job tenure, hourly wage and industry were significantly associated with the probability of being laid off.
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