|ustry: exchange rate<br>**e skill-up**<br>**Propensity**<br>**to move**<br>**ind.**<br>**Propensity**<br>**to skill-up**<br>(11)<br>(12)<br>8.30%<br>4.85%<br>-0.041<br>-0.101<br>(44.97)***<br>(165.53)***<br>0.030<br>0.112<br>(25.03)***<br>(137.66)***<br>-0.025<br>-0.019<br>(102.08)***<br>(94.39)***<br>0.024<br>0.031<br>(21.84)***<br>(34.56)***<br>**0.028**<br>**0.024**<br>(5.21)***<br>(5.66)***<br>0.013<br>0.004<br>(36.57)***<br>(16.13)***<br>0.001<br>0.000<br>(24.94)***<br>(5.12)***<br>0.000<br>0.000<br>(1.92)*<br>(0.65)<br>-0.005<br>0.001<br>(33.98)***<br>(5.06)***<br>0.000<br>0.000<br>(2.96)***<br>(0.07)<br>-0.008<br>0.001<br>(14.47)***<br>(2.87)***<br>arentheses, based on robust<br>mmies. Marginal efects are|
|---|
|g and/or moving ind<br> **industry (ind.) and/or mov**<br>**ove**<br>**Propensity**<br>**to stay**<br>**skill-up**<br>**only**<br>(9)<br>(10)<br>3.9%<br>87.80%<br>-0.081<br>0.122<br>(157.86)***<br>(119.04)***<br>0.091<br>-0.121<br>(133.44)***<br>(89.32)***<br>-0.013<br>0.039<br>(80.47)***<br>(131.76)***<br>0.023<br>-0.047<br>(31.52)***<br>(37.15)***<br>**0.018**<br>**-0.046**<br>(5.01)***<br>(7.15)***<br>0.002<br>-0.015<br>(10.68)***<br>(37.1)***<br>0.000<br>-0.001<br>(1.71)*<br>(22.13)***<br>0.000<br>0.000<br>(0.36)<br>(1.86)*<br>0.001<br>0.004<br>(9.91)***<br>(23.65)***<br>0.000<br>0.000<br>(0.36)<br>(2.34)**<br>0.002<br>0.007<br>(5.13)***<br>(10.02)***<br>3,858,747<br>0.267<br>0.999<br>0.065<br>te value of t-statistic in p<br>ects), year and regional du|
|y of skill-upgradin<br>**Move **<br>**Propensity to m**<br>**ind.&skill-**<br>**up**<br>**ind.**<br>**only**<br>(7)<br>(8)<br>0.95%<br>7.35%<br>-0.020<br>-0.021<br>(130.33)***<br>(24.94)***<br>0.021<br>0.009<br>(107.02)***<br>(8.31)***<br>-0.005<br>-0.020<br>(118.02)***<br>(88.69)***<br>0.008<br>0.016<br>(34.78)***<br>(16.64)***<br>**0.007**<br>**0.021**<br>(7.21)***<br>(4.41)***<br>0.002<br>0.011<br>(32.87)***<br>(34.85)***<br>0.000<br>0.001<br>(17.6)***<br>(24.32)***<br>0.000<br>0.000<br>(1.6)<br>(1.84)*<br>0.000<br>-0.005<br>(14.91)***<br>(34.88)***<br>0.000<br>0.000<br>(1.7)*<br>(2.97)***<br>-0.001<br>-0.008<br>(6.27)***<br>(14.97)***<br>ysis is 1991-2000. Absolu<br>mies (74 industry fxed-ef<br>-square and hhi by 1000.|
|probabilit<br>**Propensity**<br>**to move**<br>**skill**<br>(6)<br>8.58%<br>-0.132<br>(135.92)***<br>0.144<br>(110.99)***<br>-0.022<br>(74.29)***<br>0.065<br>(44.2)***<br>**0.014**<br>(2.47)**<br>0.005<br>(11.15)***<br>0.000<br>(5.58)***<br>-0.002<br>(11.12)***<br>0.000<br>(2.22)**<br>0.000<br>(0.68)<br>-0.002<br>(2.98)***<br> period of anal<br>industry dum<br>by 10, and age|
|on on the<br>**ve skill**<br>**Propensity**<br>**to move**<br>**ind.**<br>(5)<br>8.29%<br>-0.042<br>(46.35)***<br>0.032<br>(26.4)***<br>-0.025<br>(102.07)***<br>0.024<br>(22.41)***<br>**0.027**<br>(5.01)***<br>0.013<br>(36.2)***<br>0.001<br>(25.34)***<br>0.000<br>(1.23)<br>-0.005<br>(32.74)***<br>0.000<br>(2.28)**<br>-0.008<br>(14.4)***<br> at 1%. The <br> a full set of <br> are divided|
|**Table 5:** Marginal efect of international competiti<br>fuctuations<br>**Move industry (ind.) and/or mo**<br>**Propensity to move**<br>**Propensity**<br>**to stay**<br>**ind.&skill**<br>**ind.**<br>**only**<br>**skill**<br>**only**<br>(1)<br>(2)<br>(3)<br>(4)<br>Predicted<br>Propensity<br>2.10%<br>6.18%<br>6.47%<br>85.24%<br>**Variables**<br>age<br>-0.032<br>-0.010<br>-0.100<br>0.142<br>(115.61)***<br>(13.6)***<br>(127.1)***<br>(121.14)***<br>age2<br>0.032<br>-0.001<br>0.112<br>-0.144<br>(89.19)***<br>(0.56)<br>(106.18)***<br>(92.39)***<br>tenure<br>-0.009<br>-0.016<br>-0.013<br>0.039<br>(110.1)***<br>(82.4)***<br>(55.19)***<br>(113.34)***<br>skilled<br>0.018<br>0.007<br>0.048<br>-0.072<br>(40.42)***<br>(8.38)***<br>(39.71)***<br>(46.99)***<br>exchrate<br>**0.008**<br>**0.019**<br>0.006<br>**-0.033**<br>(4.8)***<br>(4.53)***<br>(1.38)<br>(4.76)***<br>male<br>0.003<br>0.010<br>0.001<br>-0.014<br>(29.78)***<br>(33.9)***<br>(3.98)***<br>(29.23)***<br>hhi<br>0.000<br>0.001<br>0.000<br>-0.001<br>(19.82)***<br>(24.46)***<br>(0.03)<br>(19.54)***<br>frmsize<br>0.000<br>0.000<br>-0.001<br>0.001<br>(8.28)***<br>(1.6)<br>(11.04)***<br>(8.44)***<br>frmlabprod<br>-0.001<br>-0.004<br>0.001<br>0.004<br>(19.21)***<br>(33.86)***<br>(9.35)***<br>(18.64)***<br>frmage<br>0.000<br>0.000<br>0.000<br>0.000<br>(0.9)<br>(2.49)**<br>(1.14)<br>(0.85)<br>%foreignK<br>-0.002<br>-0.006<br>0.000<br>0.008<br>(11.07)***<br>(13.9)***<br>(0.09)<br>(10.88)***<br>Observations<br>3,858,747<br>rho<br>0.409<br>%Correctly pre-<br>dicted<br>0.963<br>McFadden’s<br>pseudo R2<br>0.053<br>_Notes_: * signifcant at 10%; ** signifcant at 5%; *** signifcant <br>standard errors clustered by individual. All specifcations include <br>computed at the mean of each variable. The variables age, tenure|

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