Table 11.

Summary statistics: Germany

Summary statisticsMeans by quartiles of exposure to robots (instrument)
MeanS.D.Min.Max.All LMsFirst quartileSecond quartileThird quartileFourth quartile
(1)(2)(3)(4)(5)(6)(7)(8)(9)
Variables of interests
Exposure to robots (instrument)2.1592.776−0.56923.320
Exposure to Chinese imports (instrument)10.6765.3721.98638.13310.6768.31910.05011.89812.174
Outcome variables, 1995–2007
Change employment-to-population ratio4.3012.087−0.52620.4194.3013.7974.4594.3794.578
Change manufacturing employment-to- population ratio−0.2070.928−5.1083.619−0.207−0.2720.003−0.273−0.245
Change non-manufacturing employment-to-population ratio4.3911.8980.71521.4734.3913.9624.3324.5374.700
Control variables, 1995
Log population12.5730.93810.49515.06012.57312.93612.25412.58612.467
Male population share0.4870.0070.4520.5040.4870.4850.4870.4870.490
Population share above 650.1560.0170.1120.2260.1560.1580.1570.1590.151
Employment share with university degree0.0840.0420.0210.2170.0840.1030.0780.0780.077
Foreign-born population share0.1050.0510.0220.2630.1050.1110.0850.1030.116
Foreign penetration−0.2191.220−17.1371.939−0.2190.198−0.119−0.368−0.546
Employment share in construction0.0940.0320.0350.2100.0940.0980.1040.0920.082
Female employment share in manufacturing0.2770.0570.1120.4750.2770.2960.2890.2710.255
Lagged employment–population ratio (85–95)13.48618.297−55.98265.31013.48622.00714.6099.7108.307
Summary statisticsMeans by quartiles of exposure to robots (instrument)
MeanS.D.Min.Max.All LMsFirst quartileSecond quartileThird quartileFourth quartile
(1)(2)(3)(4)(5)(6)(7)(8)(9)
Variables of interests
Exposure to robots (instrument)2.1592.776−0.56923.320
Exposure to Chinese imports (instrument)10.6765.3721.98638.13310.6768.31910.05011.89812.174
Outcome variables, 1995–2007
Change employment-to-population ratio4.3012.087−0.52620.4194.3013.7974.4594.3794.578
Change manufacturing employment-to- population ratio−0.2070.928−5.1083.619−0.207−0.2720.003−0.273−0.245
Change non-manufacturing employment-to-population ratio4.3911.8980.71521.4734.3913.9624.3324.5374.700
Control variables, 1995
Log population12.5730.93810.49515.06012.57312.93612.25412.58612.467
Male population share0.4870.0070.4520.5040.4870.4850.4870.4870.490
Population share above 650.1560.0170.1120.2260.1560.1580.1570.1590.151
Employment share with university degree0.0840.0420.0210.2170.0840.1030.0780.0780.077
Foreign-born population share0.1050.0510.0220.2630.1050.1110.0850.1030.116
Foreign penetration−0.2191.220−17.1371.939−0.2190.198−0.119−0.368−0.546
Employment share in construction0.0940.0320.0350.2100.0940.0980.1040.0920.082
Female employment share in manufacturing0.2770.0570.1120.4750.2770.2960.2890.2710.255
Lagged employment–population ratio (85–95)13.48618.297−55.98265.31013.48622.00714.6099.7108.307

Columns 1–4 report the basic summary statistics at the local labor market level. Columns 6–9 present means for all labor markets as well as the quartiles of the robot IV variable from equation (5). There are only 321 observations for robot IV variables due to employment data availability in 1985. The means are weighted by population at the start of the period.

Table 11.

Summary statistics: Germany

Summary statisticsMeans by quartiles of exposure to robots (instrument)
MeanS.D.Min.Max.All LMsFirst quartileSecond quartileThird quartileFourth quartile
(1)(2)(3)(4)(5)(6)(7)(8)(9)
Variables of interests
Exposure to robots (instrument)2.1592.776−0.56923.320
Exposure to Chinese imports (instrument)10.6765.3721.98638.13310.6768.31910.05011.89812.174
Outcome variables, 1995–2007
Change employment-to-population ratio4.3012.087−0.52620.4194.3013.7974.4594.3794.578
Change manufacturing employment-to- population ratio−0.2070.928−5.1083.619−0.207−0.2720.003−0.273−0.245
Change non-manufacturing employment-to-population ratio4.3911.8980.71521.4734.3913.9624.3324.5374.700
Control variables, 1995
Log population12.5730.93810.49515.06012.57312.93612.25412.58612.467
Male population share0.4870.0070.4520.5040.4870.4850.4870.4870.490
Population share above 650.1560.0170.1120.2260.1560.1580.1570.1590.151
Employment share with university degree0.0840.0420.0210.2170.0840.1030.0780.0780.077
Foreign-born population share0.1050.0510.0220.2630.1050.1110.0850.1030.116
Foreign penetration−0.2191.220−17.1371.939−0.2190.198−0.119−0.368−0.546
Employment share in construction0.0940.0320.0350.2100.0940.0980.1040.0920.082
Female employment share in manufacturing0.2770.0570.1120.4750.2770.2960.2890.2710.255
Lagged employment–population ratio (85–95)13.48618.297−55.98265.31013.48622.00714.6099.7108.307
Summary statisticsMeans by quartiles of exposure to robots (instrument)
MeanS.D.Min.Max.All LMsFirst quartileSecond quartileThird quartileFourth quartile
(1)(2)(3)(4)(5)(6)(7)(8)(9)
Variables of interests
Exposure to robots (instrument)2.1592.776−0.56923.320
Exposure to Chinese imports (instrument)10.6765.3721.98638.13310.6768.31910.05011.89812.174
Outcome variables, 1995–2007
Change employment-to-population ratio4.3012.087−0.52620.4194.3013.7974.4594.3794.578
Change manufacturing employment-to- population ratio−0.2070.928−5.1083.619−0.207−0.2720.003−0.273−0.245
Change non-manufacturing employment-to-population ratio4.3911.8980.71521.4734.3913.9624.3324.5374.700
Control variables, 1995
Log population12.5730.93810.49515.06012.57312.93612.25412.58612.467
Male population share0.4870.0070.4520.5040.4870.4850.4870.4870.490
Population share above 650.1560.0170.1120.2260.1560.1580.1570.1590.151
Employment share with university degree0.0840.0420.0210.2170.0840.1030.0780.0780.077
Foreign-born population share0.1050.0510.0220.2630.1050.1110.0850.1030.116
Foreign penetration−0.2191.220−17.1371.939−0.2190.198−0.119−0.368−0.546
Employment share in construction0.0940.0320.0350.2100.0940.0980.1040.0920.082
Female employment share in manufacturing0.2770.0570.1120.4750.2770.2960.2890.2710.255
Lagged employment–population ratio (85–95)13.48618.297−55.98265.31013.48622.00714.6099.7108.307

Columns 1–4 report the basic summary statistics at the local labor market level. Columns 6–9 present means for all labor markets as well as the quartiles of the robot IV variable from equation (5). There are only 321 observations for robot IV variables due to employment data availability in 1985. The means are weighted by population at the start of the period.

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