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International Journal of
            Population Studies                                                         Atypical workers and COVID-19




            Table 5. Empirical results: Atypical jobs and the impact of COVID‑19 by sector
            Dependent variable: Firms that decreased   (1)  (2)  (3)  (4)     (5)      (6)      (7)     (8)
            the number of temporary workers since the
            outbreak of COVID‑19
            Ln (age)                        −0.104  −0.0985  −0.0972  −0.0942  −0.0933  −0.0951  −0.101  −0.0948
                                            (0.0670)  (0.0667)  (0.0667)  (0.0668)  (0.0668)  (0.0668)  (0.0666)  (0.0668)
            Ln (manager experience)         −0.0685  −0.0674  −0.0730  −0.0682  −0.0687  −0.0688  −0.0724  −0.0724
                                            (0.0617)  (0.0616)  (0.0616)  (0.0617)  (0.0617)  (0.0617)  (0.0616)  (0.0618)
            Top Manager Female              0.0651   0.0631  0.0292   0.0481  0.0485  0.0498   0.0517  0.0576
                                            (0.0991)  (0.0992)  (0.0994)  (0.0988)  (0.0988)  (0.0988)  (0.0986)  (0.0991)
            How Much of An Obstacle: Labor   0.183*  0.184*  0.179    0.185*  0.184*  0.184*   0.172   0.185*
            Regulations?
                                            (0.109)  (0.109)  (0.109)  (0.109)  (0.109)  (0.109)  (0.109)  (0.109)
            How Much of An Obstacle: An Inadequately   0.0443  0.0357  0.0439  0.0459  0.0485  0.0477  0.0270  0.0402
            Educated Workforce?
                                            (0.0935)  (0.0937)  (0.0935)  (0.0936)  (0.0936)  (0.0936)  (0.0937)  (0.0937)
            Has this establishment received any national   0.0698  0.0689  0.0682  0.0663  0.0657  0.0662  0.0762  0.0677
            or local government measures issued?
                                            (0.0752)  (0.0752)  (0.0752)  (0.0752)  (0.0752)  (0.0752)  (0.0752)  (0.0752)
            Adjustment policy: Has this establishment   0.347***  0.347***  0.347***  0.347***  0.345***  0.347***  0.346***  0.346***
            converted its production or services in
            response to COVID-19?
                                            (0.0760)  (0.0760)  (0.0760)  (0.0760)  (0.0760)  (0.0760)  (0.0759)  (0.0760)
            Stringency index               −0.0169*** −0.0174*** −0.0175*** −0.0175*** −0.0176*** −0.0174*** −0.0166*** −0.0174***
                                            (0.00257)  (0.00255)  (0.00256)  (0.00256)  (0.00256)  (0.00256)  (0.00256)  (0.00256)
            Sectors
             Hotel and restaurants          −0.321*
                                            (0.175)
             Retail                                  −0.156
                                                    (0.0981)
             Construction                                    −0.227*
                                                             (0.133)
             IT                                                      −0.0742
                                                                     (0.305)
             Transport                                                        −0.253
                                                                              (0.211)
             Electronics                                                               0.178
                                                                                      (0.352)
             Machinery and equipment                                                          0.525***
                                                                                               (0.159)
             Fabricated metal products                                                                 0.181
                                                                                                       (0.134)
             Constant                      −1.199***  −1.192***  −1.180***  −1.230***  −1.219***  −1.230***  −1.244***  −1.236***
                                            (0.217)  (0.217)  (0.218)  (0.216)  (0.216)  (0.216)  (0.216)  (0.216)


             Prob>chi2 (Hausman test)       0.0744   0.0719  0.0810   0.0735  0.0749  0.0779   0.0761  0.0762
             Appropriate model                RE      RE      RE       RE      RE       RE      RE      RE
             Observations                    7,396   7,396   7,396    7,396   7,396    7,396   7,396   7,396
             Number of firms                 3,452   3,452   3,452    3,452   3,452    3,452   3,452   3,452
            Source: Authors’ calculations. Standard errors are in parentheses. *p<0.1, **p<0.05, ***p<0.01.

            Volume 11 Issue 5 (2025)                        62                        https://doi.org/10.36922/ijps.3575
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