Table 21.

Industries with the largest Rotemberg weights: Norway

Plastic chemicalsAutomotiveExposure to robotPlastic chemicalsElectronicsExposure to Chinese imports
(1)(2)(3)(4)(5)(6)
Log population0.0060.0020.1170.031***0.031***7.279
(0.004)(0.002)(0.099)(0.006)(0.006)(6.901)
Male population share−0.1500.51214.963−0.0620.495245.564
(0.722)(0.336)(18.421)(0.851)(0.851)(1,216.842)
Population share above 650.0680.1347.2330.434**0.415*228.405
(0.134)(0.093)(5.129)(0.197)(0.230)(294.943)
Population share with high education−0.149*0.018−2.298−0.480***0.099123.555
(0.083)(0.028)(1.569)(0.081)(0.097)(163.671)
Foreign penetration0.003−0.005−0.0980.014−0.006−13.237
(0.007)(0.004)(0.166)(0.009)(0.007)(11.273)
Foreign-born population share−0.0290.0350.9590.886***0.514**−392.607
(0.163)(0.057)(3.624)(0.208)(0.227)(310.375)
Employment share in construction−0.072−0.113−1.383−0.0310.066−318.172
(0.151)(0.105)(4.765)(0.210)(0.242)(289.073)
Employment share in mining−0.091−0.029−1.694−0.384***−0.026−303.046
(0.070)(0.031)(1.632)(0.112)(0.182)(197.120)
Employment share in light manufacturing−0.181−0.037−4.014−0.443−0.280204.308
(0.264)(0.061)(4.029)(0.303)(0.195)(428.187)
Observations747474747474
R-squared0.4360.2260.3530.8460.8590.607
Rotemberg weight0.3160.4360.0800.909
Plastic chemicalsAutomotiveExposure to robotPlastic chemicalsElectronicsExposure to Chinese imports
(1)(2)(3)(4)(5)(6)
Log population0.0060.0020.1170.031***0.031***7.279
(0.004)(0.002)(0.099)(0.006)(0.006)(6.901)
Male population share−0.1500.51214.963−0.0620.495245.564
(0.722)(0.336)(18.421)(0.851)(0.851)(1,216.842)
Population share above 650.0680.1347.2330.434**0.415*228.405
(0.134)(0.093)(5.129)(0.197)(0.230)(294.943)
Population share with high education−0.149*0.018−2.298−0.480***0.099123.555
(0.083)(0.028)(1.569)(0.081)(0.097)(163.671)
Foreign penetration0.003−0.005−0.0980.014−0.006−13.237
(0.007)(0.004)(0.166)(0.009)(0.007)(11.273)
Foreign-born population share−0.0290.0350.9590.886***0.514**−392.607
(0.163)(0.057)(3.624)(0.208)(0.227)(310.375)
Employment share in construction−0.072−0.113−1.383−0.0310.066−318.172
(0.151)(0.105)(4.765)(0.210)(0.242)(289.073)
Employment share in mining−0.091−0.029−1.694−0.384***−0.026−303.046
(0.070)(0.031)(1.632)(0.112)(0.182)(197.120)
Employment share in light manufacturing−0.181−0.037−4.014−0.443−0.280204.308
(0.264)(0.061)(4.029)(0.303)(0.195)(428.187)
Observations747474747474
R-squared0.4360.2260.3530.8460.8590.607
Rotemberg weight0.3160.4360.0800.909

This table presents OLS estimates of the impact of the exposure to robots and Chinese imports on the employment-to-population ratio, focusing on the industries with the largest Rotemberg weights. Both exposure to robot and Chinese imports are instrumental variables. The regressions are weighted by population in the start-of-period. Statistical significance based on robust standard errors (reported in parentheses) is denoted by ***P< 0.01, **P< 0.05, and *P< 0.10.

Table 21.

Industries with the largest Rotemberg weights: Norway

Plastic chemicalsAutomotiveExposure to robotPlastic chemicalsElectronicsExposure to Chinese imports
(1)(2)(3)(4)(5)(6)
Log population0.0060.0020.1170.031***0.031***7.279
(0.004)(0.002)(0.099)(0.006)(0.006)(6.901)
Male population share−0.1500.51214.963−0.0620.495245.564
(0.722)(0.336)(18.421)(0.851)(0.851)(1,216.842)
Population share above 650.0680.1347.2330.434**0.415*228.405
(0.134)(0.093)(5.129)(0.197)(0.230)(294.943)
Population share with high education−0.149*0.018−2.298−0.480***0.099123.555
(0.083)(0.028)(1.569)(0.081)(0.097)(163.671)
Foreign penetration0.003−0.005−0.0980.014−0.006−13.237
(0.007)(0.004)(0.166)(0.009)(0.007)(11.273)
Foreign-born population share−0.0290.0350.9590.886***0.514**−392.607
(0.163)(0.057)(3.624)(0.208)(0.227)(310.375)
Employment share in construction−0.072−0.113−1.383−0.0310.066−318.172
(0.151)(0.105)(4.765)(0.210)(0.242)(289.073)
Employment share in mining−0.091−0.029−1.694−0.384***−0.026−303.046
(0.070)(0.031)(1.632)(0.112)(0.182)(197.120)
Employment share in light manufacturing−0.181−0.037−4.014−0.443−0.280204.308
(0.264)(0.061)(4.029)(0.303)(0.195)(428.187)
Observations747474747474
R-squared0.4360.2260.3530.8460.8590.607
Rotemberg weight0.3160.4360.0800.909
Plastic chemicalsAutomotiveExposure to robotPlastic chemicalsElectronicsExposure to Chinese imports
(1)(2)(3)(4)(5)(6)
Log population0.0060.0020.1170.031***0.031***7.279
(0.004)(0.002)(0.099)(0.006)(0.006)(6.901)
Male population share−0.1500.51214.963−0.0620.495245.564
(0.722)(0.336)(18.421)(0.851)(0.851)(1,216.842)
Population share above 650.0680.1347.2330.434**0.415*228.405
(0.134)(0.093)(5.129)(0.197)(0.230)(294.943)
Population share with high education−0.149*0.018−2.298−0.480***0.099123.555
(0.083)(0.028)(1.569)(0.081)(0.097)(163.671)
Foreign penetration0.003−0.005−0.0980.014−0.006−13.237
(0.007)(0.004)(0.166)(0.009)(0.007)(11.273)
Foreign-born population share−0.0290.0350.9590.886***0.514**−392.607
(0.163)(0.057)(3.624)(0.208)(0.227)(310.375)
Employment share in construction−0.072−0.113−1.383−0.0310.066−318.172
(0.151)(0.105)(4.765)(0.210)(0.242)(289.073)
Employment share in mining−0.091−0.029−1.694−0.384***−0.026−303.046
(0.070)(0.031)(1.632)(0.112)(0.182)(197.120)
Employment share in light manufacturing−0.181−0.037−4.014−0.443−0.280204.308
(0.264)(0.061)(4.029)(0.303)(0.195)(428.187)
Observations747474747474
R-squared0.4360.2260.3530.8460.8590.607
Rotemberg weight0.3160.4360.0800.909

This table presents OLS estimates of the impact of the exposure to robots and Chinese imports on the employment-to-population ratio, focusing on the industries with the largest Rotemberg weights. Both exposure to robot and Chinese imports are instrumental variables. The regressions are weighted by population in the start-of-period. Statistical significance based on robust standard errors (reported in parentheses) is denoted by ***P< 0.01, **P< 0.05, and *P< 0.10.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close