|ng industry: 1989-1992|**or move skill-up**<br>**Propensity**<br>**to move**<br>**ind.**<br>**Propensity**<br>**to skill-up**<br>(9)<br>(10)<br>8.58%<br>5.38%<br>-0.027<br>-0.120<br>(21.98)***<br>(136.2)***<br>0.002<br>0.130<br>(1.5)<br>(113.97)***<br>-0.037<br>-0.024<br>(107.06)***<br>(86.25)***<br>0.042<br>0.068<br>(20.99)***<br>(34.66)***<br>**0.005**<br>**0.003**<br>**(4.01)*****<br>**(2.99)*****<br>0.005<br>0.003<br>(1.25)<br>(0.91)<br>-0.004<br>-0.012<br>(4.52)***<br>(19.38)***<br>0.016<br>0.011<br>(34)***<br>(29.59)***<br>0.013<br>0.007<br>(8.62)***<br>(5.96)***<br>-0.007<br>-0.001<br>(45.72)***<br>(7.24)***<br>-0.007<br>0.000<br>(43.43)***<br>(0.52)<br>0.002<br>0.000<br>(21.59)***<br>(2.31)**<br>-0.029<br>0.006<br>(34.92)***<br>(9.69)***<br>n parentheses, based on robust<br> dummies. Marginal efects are|
|---|---|
|of skill-upgrading and/or movi|**Move industry (ind.) and/**<br>**Propensity to move**<br>**ind.&skill-**<br>**up**<br>**ind. only**<br>**skill-up**<br>**only**<br>(6)<br>(7)<br>(8)<br>1.15%<br>7.43%<br>4.23%<br>-0.024<br>-0.003<br>-0.096<br>(101.24)***<br>(2.82)***<br>(131.61)***<br>0.023<br>-0.021<br>0.107<br>(78.55)***<br>(14.34)***<br>(113.19)***<br>-0.008<br>-0.028<br>-0.016<br>(112.25)***<br>(93.45)***<br>(69.67)***<br>0.019<br>0.023<br>0.049<br>(31.56)***<br>(14.39)***<br>(31.68)***<br>**0.001**<br>**0.004**<br>**0.002**<br>**(4.57)*****<br>**(3.59)*****<br>**(2.33)****<br>0.001<br>0.004<br>0.002<br>(1.37)<br>(1.16)<br>(0.69)<br>-0.003<br>-0.001<br>-0.010<br>(17.21)***<br>(1.48)<br>(18.79)***<br>0.003<br>0.012<br>0.007<br>(41)***<br>(29.93)***<br>(24.25)***<br>0.003<br>0.010<br>0.005<br>(9.39)***<br>(7.72)***<br>(4.63)***<br>-0.001<br>-0.006<br>0.000<br>(31.14)***<br>(45.06)***<br>(0.28)<br>-0.001<br>-0.006<br>0.001<br>(22.53)***<br>(43.87)***<br>(6.93)***<br>0.000<br>0.002<br>0.000<br>(10.11)***<br>(22.2)***<br>(5.73)***<br>-0.002<br>-0.027<br>0.008<br>(13.67)***<br>(36.65)***<br>(15.95)***<br>2,300,567<br>0.299<br>0.999<br>0.066<br> is 1986-1992. Absolute value of t-statistic i<br>(74 industry fxed-efects), year and regional <br>re and hhi by 1000.|
|**able 4:** Marginal efects of international competition on the probability<br>ppreciation|**Move industry (ind.) and/or move skill**<br>**Propensity to move**<br>**Propensity**<br>**to move**<br>**ind.**<br>**Propensity**<br>**to move**<br>**skill**<br>**ind.&skill**<br>**ind.only**<br>**skill only**<br>(1)<br>(2)<br>(3)<br>(4)<br>(5)<br>Predicted Propensity<br>2.63%<br>5.95%<br>6.71%<br>8.58%<br>9.35%<br>**Variables**<br>age<br>-0.036<br>0.007<br>-0.111<br>-0.029<br>-0.146<br>(83.5)***<br>(7.36)***<br>(106.66)***<br>(23.51)***<br>(111.49)***<br>age-square<br>0.032<br>-0.027<br>0.124<br>0.005<br>0.156<br>(57.95)***<br>(21.97)***<br>(90.19)***<br>(2.98)***<br>(90.07)***<br>tenure<br>-0.014<br>-0.023<br>-0.014<br>-0.036<br>-0.027<br>(106.36)***<br>(88.18)***<br>(42.74)***<br>(107.3)***<br>(66.65)***<br>skilled<br>0.032<br>0.011<br>0.065<br>0.043<br>0.097<br>(32.15)***<br>(8.54)***<br>(30.26)***<br>(21.51)***<br>(35.2)***<br>indop88*post89<br>**0.002**<br>**0.003**<br>**0.003**<br>**0.005**<br>**0.005**<br>**(4.6)*****<br>**(3.16)*****<br>**(2.25)****<br>**(3.96)*****<br>**(3.23)*****<br>indop88<br>0.002<br>0.004<br>0.002<br>0.006<br>0.004<br>(1.35)<br>(1.25)<br>(0.53)<br>(1.36)<br>(0.89)<br>post89<br>-0.003<br>-0.001<br>-0.007<br>-0.004<br>-0.010<br>(10.64)***<br>(1.36)<br>(11.31)***<br>(4.66)***<br>(12.24)***<br>male<br>0.007<br>0.009<br>0.009<br>0.016<br>0.015<br>(39.63)***<br>(26.08)***<br>(21.04)***<br>(33.91)***<br>(28.49)***<br>hhi<br>0.006<br>0.006<br>0.010<br>0.012<br>0.016<br>(11.8)***<br>(5.52)***<br>(8.42)***<br>(8.17)***<br>(10.4)***<br>frmsize<br>-0.002<br>-0.005<br>-0.002<br>-0.007<br>-0.004<br>(43.46)***<br>(39.99)***<br>(12.61)***<br>(45.81)***<br>(23.4)***<br>frmlabprod<br>-0.002<br>-0.005<br>0.000<br>-0.007<br>-0.001<br>(31.5)***<br>(41.26)***<br>(2.07)**<br>(42.46)***<br>(8.22)***<br>frmage<br>0.001<br>0.002<br>0.000<br>0.002<br>0.000<br>(13.92)***<br>(21.12)***<br>(3.07)***<br>(21.14)***<br>(1.8)*<br>%foreignK<br>-0.006<br>-0.023<br>0.009<br>-0.029<br>0.003<br>(20.17)***<br>(36.4)***<br>(12.91)***<br>(34.55)***<br>(3.63)***<br>Observations<br>2,300,567<br>rho<br>0.475<br>%Correctly predicted<br>0.999<br>McFadden’s pseudo R2<br>0.052<br>_Notes_: * signifcant at 10%; ** signifcant at 5%; *** signifcant at 1%. The period of analysis <br>standard errors clustered by individual. All specifcations include a full set of industry dummies <br>computed at the mean of each variable. The variables age, tenure are divided by 10, and age-squa|

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