**Table 6. Quantile Wage Regressions: MW Interactions  (1994-1997 and 2006)**

|Dependent variable|: log firm-l|evel averag|e wages|||
|---|---|---|---|---|---|
|Quantile of Log of Real Prod. Worker Wage:|10|30|50|70|90|
||(1)|(2)|(3)|(4)|(5)|
|Foreign-owned|-0.044|-0.001|-0.000|-0.032|0.110|
||(0.049)|(0.024)|(0.023)|(0.034)|(0.078)|
|Government-owned|-0.015|-0.010|-0.012|0.042|0.106|
||(0.066)|(0.029)|(0.024)|(0.034)|(0.071)|
|Exporter|<br>0.015|<br>0.022*|<br>0.013|<br>0.012|<br>0.038|
||(0.023)|(0.011)|(0.010)|(0.014)|(0.027)|
|Log Firm Age|<br>0.170***|<br>0.037***|<br>0.025**|<br>0.103***|<br>0.155***|
||(0.031)|(0.014)|(0.011)|(0.015)|(0.030)|
|Log L|<br>0.008<br>|<br>0.013<br>|<br>0.012<br>|<br>-0.041***<br>|<br>-0.088***<br>|
||(0.025)|(0.011)|(0.010)|(0.012)|(0.022)|
|Unskilled Ratio|<br>-0.458***|<br>-0.313***|<br>-0.331***|<br>-0.489***|<br>-0.800***|
||(0.085)|(0.036)|(0.031)|(0.041)|(0.083)|
|Log V/L|<br>0.327***|<br>0.167***|<br>0.144***|<br>0.179***|<br>0.268***|
||(0.014)|(0.005)|(0.005)|(0.006)|(0.012)|
|% No Primary-Women|-0.621***|-0.386***|-0.369***|-0.086|0.249**|
||(0.205)|(0.076)|(0.060)|(0.074)|(0.104)|
|% Primary-Men|-0.100|0.039|-0.054|0.032|0.090|
||(0.119)|(0.051)|(0.040)|(0.049)|(0.0718)|
|% Primary-Women|-0.325**|-0.214***|-0.303***|-0.178***|<br>0.131|
||(0.133)|(0.054)|(0.046)|(0.056)|(0.084)|
|% Junior-Men|<br>0.037|<br>0.132***|<br>-0.004|<br>0.079|<br>0.056|
||(0.119)|(0.049)|(0.040)|(0.051)|(0.080)|
|% Junior-Women|<br>-0.066|<br>-0.013|<br>-0.160***|<br>-0.097|<br>-0.035|
||(0.133)|(0.059)|(0.050)|(0.062)|(0.088)|
|% High+-Men|<br>-0.085|<br>0.084*|<br>0.069*|<br>0.348***|<br>0.618***|
||(0.116)|(0.050)|(0.041)|(0.053)|(0.087)|
|% High+-Women|<br>-0.343**|<br>-0.022|<br>-0.037|<br>0.172***|<br>0.300***|
||(0.136)|(0.059)|(0.050)|(0.062)|(0.102)|
|Log Min.Wage*% No Primary-Men|<br>0.473|<br>0.091|<br>-0.170|<br>0.122|<br>-0.093|
||(0.450)|(0.167)|(0.137)|(0.168)|(0.220)|
|Log Min.Wage*% No Primary-Women|<br>1.160**|<br>0.031|<br>-0.295**|<br>-0.340**|<br>-0.546***|
||(0.521)|(0.166)|(0.121)|(0.137)|(0.179)|
|Log Min.Wage*% Primary-Men|0.148|0.175**|0.034|-0.090|-0.082|
||(0.174)|(0.078)|(0.066)|(0.080)|(0.117)|
|Log Min.Wage*% Primary-Women|<br>0.623***|<br>0.606***|<br>0.090|<br>-0.247***|<br>-0.413***|
||(0.235)|(0.086)|(0.064)|(0.073)|(0.103)|
|Log Min.Wage*% Junior-Men|<br>-0.007|<br>0.045|<br>0.138*|<br>0.392***|<br>-0.207|
||(0.173)|(0.088)|(0.075)|(0.107)|(0.190)|
|Log Min.Wage*% Junior-Women|0.562**|0.416***|0.517***|0.477***|-0.184|
||(0.264)|(0.109)|(0.101)|(0.131)|(0.209)|
|Lo MinWae*% Hih+-Men|0091|-0077|-0246***|0045|0629***|
|g .g g|.<br>(0.113)|.<br>(0.055)|.<br>(0.045)|.<br>(0.069)|.<br>(0.171)|
|Log Min.Wage*% High+-Women|<br>0.420*|<br>0.239**|<br>0.209**|<br>0.622***|<br>0.298|
||(0.245)|(0.117)|(0.0941)|(0.134)|(0.255)|
|N|87,785|87,785|87,785|87,785|87,785|
|R<sup>2</sup>|0.037|0.077|0.155|0.220|0.106|
|Level of Quantile (in ‘000s Real Rupiahs)|517|935|1,240|1,664|2,687|
|Level ofQuantile(in USD)|41|75|99|133|215|

_Note:_ *** p<0.01, ** p<0.05, * p<0.1 Standard errors in parentheses are heteroscedasticity robust and bootstrapped 500 times. Kernel half-width based on optimal selection to minimize mean integrated square error under Gaussian assumption following Silverman (1992). Minimum wages, wages and value-added are all measured in real terms. Province and year dummies as well as a constant included in all regressions. Regressions include establishment-level fixed effects. Minimum wage, educational variables and share of female workers are demeaned.

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