Table 3.

The effects of robots and Chinese imports on total employment

Long differences, OLS
(1)(2)(3)(4)(5)(6)(7)(8)
DenmarkFinlandGermanyItalyNorwaySpainSwedenUnited Kingdom
Panel A. Exposure to robots
Exposure to robots (instrument)0.4900.281−0.094−0.520***−2.050***0.150−0.300−0.466**
(0.727)(0.604)(0.0674)(0.135)(0.630)(0.137)(0.198)(0.188)
R-squared0.1780.5270.1700.6560.3550.8550.3210.429
Panel B. Exposure to robots and Chinese imports
Exposure to robots (instrument)0.525−0.236−0.102−0.545***−1.932***0.072−0.300−0.385**
(0.750)(0.741)(0.066)(0.152)(0.681)(0.118)(0.198)(0.186)
Exposure to Chinese imports (instrument)−0.0030.024**−0.058**0.028−0.0060.037−0.001−0.223**
(0.015)(0.010)(0.025)(0.080)(0.013)(0.024)(0.012)(0.097)
R-squared0.1790.5710.1860.6570.3570.8620.3210.440
Observations99703191107449100352
Regional fixed effect (FE)
Baseline controls
Long differences, OLS
(1)(2)(3)(4)(5)(6)(7)(8)
DenmarkFinlandGermanyItalyNorwaySpainSwedenUnited Kingdom
Panel A. Exposure to robots
Exposure to robots (instrument)0.4900.281−0.094−0.520***−2.050***0.150−0.300−0.466**
(0.727)(0.604)(0.0674)(0.135)(0.630)(0.137)(0.198)(0.188)
R-squared0.1780.5270.1700.6560.3550.8550.3210.429
Panel B. Exposure to robots and Chinese imports
Exposure to robots (instrument)0.525−0.236−0.102−0.545***−1.932***0.072−0.300−0.385**
(0.750)(0.741)(0.066)(0.152)(0.681)(0.118)(0.198)(0.186)
Exposure to Chinese imports (instrument)−0.0030.024**−0.058**0.028−0.0060.037−0.001−0.223**
(0.015)(0.010)(0.025)(0.080)(0.013)(0.024)(0.012)(0.097)
R-squared0.1790.5710.1860.6570.3570.8620.3210.440
Observations99703191107449100352
Regional fixed effect (FE)
Baseline controls

This table presents OLS estimates of the impact of the exposure to robots and Chinese import competition. The outcome variables are the long difference in employment-to-population ratio. Regressions are weighted by population in the start-of-period. The list of covariates is documented in  Appendix A. The missing geographic values in Germany are due to confidentiality-related data limitations. Statistical significance based on robust standard errors (reported in parentheses) is denoted by ***P< 0.01, **P< 0.05, and *P< 0.10.

Table 3.

The effects of robots and Chinese imports on total employment

Long differences, OLS
(1)(2)(3)(4)(5)(6)(7)(8)
DenmarkFinlandGermanyItalyNorwaySpainSwedenUnited Kingdom
Panel A. Exposure to robots
Exposure to robots (instrument)0.4900.281−0.094−0.520***−2.050***0.150−0.300−0.466**
(0.727)(0.604)(0.0674)(0.135)(0.630)(0.137)(0.198)(0.188)
R-squared0.1780.5270.1700.6560.3550.8550.3210.429
Panel B. Exposure to robots and Chinese imports
Exposure to robots (instrument)0.525−0.236−0.102−0.545***−1.932***0.072−0.300−0.385**
(0.750)(0.741)(0.066)(0.152)(0.681)(0.118)(0.198)(0.186)
Exposure to Chinese imports (instrument)−0.0030.024**−0.058**0.028−0.0060.037−0.001−0.223**
(0.015)(0.010)(0.025)(0.080)(0.013)(0.024)(0.012)(0.097)
R-squared0.1790.5710.1860.6570.3570.8620.3210.440
Observations99703191107449100352
Regional fixed effect (FE)
Baseline controls
Long differences, OLS
(1)(2)(3)(4)(5)(6)(7)(8)
DenmarkFinlandGermanyItalyNorwaySpainSwedenUnited Kingdom
Panel A. Exposure to robots
Exposure to robots (instrument)0.4900.281−0.094−0.520***−2.050***0.150−0.300−0.466**
(0.727)(0.604)(0.0674)(0.135)(0.630)(0.137)(0.198)(0.188)
R-squared0.1780.5270.1700.6560.3550.8550.3210.429
Panel B. Exposure to robots and Chinese imports
Exposure to robots (instrument)0.525−0.236−0.102−0.545***−1.932***0.072−0.300−0.385**
(0.750)(0.741)(0.066)(0.152)(0.681)(0.118)(0.198)(0.186)
Exposure to Chinese imports (instrument)−0.0030.024**−0.058**0.028−0.0060.037−0.001−0.223**
(0.015)(0.010)(0.025)(0.080)(0.013)(0.024)(0.012)(0.097)
R-squared0.1790.5710.1860.6570.3570.8620.3210.440
Observations99703191107449100352
Regional fixed effect (FE)
Baseline controls

This table presents OLS estimates of the impact of the exposure to robots and Chinese import competition. The outcome variables are the long difference in employment-to-population ratio. Regressions are weighted by population in the start-of-period. The list of covariates is documented in  Appendix A. The missing geographic values in Germany are due to confidentiality-related data limitations. Statistical significance based on robust standard errors (reported in parentheses) is denoted by ***P< 0.01, **P< 0.05, and *P< 0.10.

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