|Table 6.1: INDIA, Linear probab<br>Dependent variables:|ility models for t<br>Missing|he probability of<br>on TFP<sup>(a)</sup>|observing TFP a<br>Missingon|nd sales<br>sales<sup>(b)</sup>|
|---|---|---|---|---|
||[1]|[2]|[3]|[4]|
|Explanatoryvariables:|Coeff.<br>Std. Err.|Coeff.<br>Std. Err.|Coeff.<br>Std. Err.|Coeff.<br>Std. Err.|
|Infrastructures:|||||
|Longest # of days to clear customs for export(a)<br>|-0.0279<br>[0.0112]**<br><br>||-0.0108<br>[0.0082]<br><br>||
|Dummyfor owngenerator|-0.0066<br>[0.0165]||0.0072<br>[0.0134]||
|Water supplyfrompublic sources(b)|0.0001<br>[0.0002]||0.0000<br>[0.0002]||
|Shipment losses in the domestic market(b)|-0.0044<br>[0.0015]***||-0.0028<br>[0.0014]**||
|Dummyfor own transport|-0.0083<br>[0.0208]||0.0122<br>[0.0199]||
|Dummyfor webpage|0.0153<br>[0.0177]||0.0191<br>[0.0207]||
|Losses due topower outages(b)||-0.0023<br>[0.0010]**||-0.0025<br>[0.0007]***|
|Dummyfor e-mail(b)||0.0282<br>[0.0166]*||0.031<br>[0.0183]*|
|Shipment losses,domestic(b)||-0.0043<br>[0.0014]||-0.0028<br>[0.0011]**|
|Losses due to transport outages (b)||-0.0033<br>[0.0018]***||-0.0035<br>[0.0015]**|
|Red tape, corruption and crime:|||||
|Dummyforsecurity|0.0146<br>[0.0188]||0.0033<br>[0.0157]||
|Salesreported to taxes (b)|0.0006<br>[0.0006]||0.0005<br>[0.0005]||
|Workforcereportedftaxes (b)|-0.0004<br>[0.0004]||-0.0001<br>[0.0004]||
|Dummyforpayments to speed up bureaucracy|0.0347<br>[0.0137]**||0.0359<br>[0.0122]***||
|Dummyfor interventionistlabor regulation|-0.0327<br>[0.0180]*|-0.0379<br>[0.0187]**|-0.0383<br>[0.0185]**|-0.0409<br>[0.0189]**|
|Absenteeism(b)|-0.0165<br>[0.0074]**||-0.0122<br>[0.0057]**||
|Dummy for payments to deal with bur. issues (b)||0.0222<br>[0.0140]||0.0261<br>[0.0136]*|
|Finance:|||||
|Dummyforexternalaudit|0.0121<br>[0.0174]|0.0538<br>[0.0252]**|0.0086<br>[0.0140]|0.0423<br>[0.0161]***|
|Dummyfortrade association|-0.0002<br>[0.0002]||0.0003<br>[0.0002]||
|Working capital financed by domestic private banks (b)|0.0234<br>[0.0146]||0.0231<br>[0.0134]*||
|Dummyfor loan(b)|0.0337<br>[0.0209]||0.0319<br>[0.0159]**||
|Largest shareholder(b)||-0.0003<br>[0.0002]||-0.0004<br>[0.0002]**|
|Dummyfor loan withcollateral(b)||-0.0802<br>[0.0318]**||-0.0573<br>[0.0252]**|
|Loans denominated in foreign currency (b)||-0.0011<br>[0.0003]***||-0.0008<br>[0.0003]***|
|Quality, innovation and labor skills:|||||
|Dummyfor R&D(a)|0.0016<br>[0.1084]|0.0153<br>[0.0147]|-0.04<br>[0.0666]|0.0296<br>[0.0130]**|
|Dummyforproductinnovation|-0.0073<br>[0.0157]||-0.0099<br>[0.0133]||
|Dummyfor foreign license (b)|0.0481<br>[0.0314]||0.0572<br>[0.0297]*||
|Dummyfor internaltraining (b)|0.0025<br>[0.0197]||0.0001<br>[0.0186]||
|Unskilledworkforce (a)|0.0021<br>[0.0012]*||0.0017<br>[0.0011]||
|Workforcewithcomputer|0.0006<br>[0.0004]||0.0001<br>[0.0003]||
|Dummyfor ISO quality certification(b)||0.0148<br>[0.0173]||0.0325<br>[0.0156]***|
|Dummyforoutsourcing (b)||0.0457<br>[0.0174]||0.0213<br>[0.0135]|
|Dummy for external training (b)||-0.0334<br>[0.0235]||-0.0256<br>[0.0164]|
|Other control variables:|||||
|Dummyfor incorporated company|0.0185<br>[0.0146]||0.0308<br>[0.0139]**||
|Age|0.0077<br>[0.0103]||0.0097<br>[0.0095]||
|Shareofexports(b)|0.0002<br>[0.0002]||0.0002<br>[0.0002]||
|<br>Trade union(b)|0.0007<br>[0.0004]*|0.0008<br>[0.0003]|0.0006<br>[0.0003]*|0.0008<br>[0.0003]***|
|Strikes (b)|-0.0165<br>[0.0133]||-0.0037<br>[0.0158]||
|Constant|Yes|Yes|Yes|Yes|
|Industry/region/size dummies|Yes|Yes|Yes|Yes|
|Observations|2048|2277|2048|2277|
|R-squared|0.23|0.23|0.18|0.18|

(a) Missing in TFP takes value 1 if we observe all sales, materials, labor and capital, and 0 otherwise.

(b) Missing in TFP takes value 1 if we observe sales, and 0 otherwise.

[1] Model of the probability of observing a missing value in TFP conditional the IC and C variables significant in equation (1).

[2] Model of the probability of observing a missing value in TFP and the matrices IC* and C*, selected from the whole set of IC and C variables.

[1] Model of the probability of observing a missing value in sales conditional on in the IC and C variables significant in equation (1).

[2] Model of the probability of observing a missing value in sales and the matrices IC* and C*, selected from the whole set of IC and C variables. Significance given by robust standard errors allowing for clustering by industry and region *** 1%, **5%, * 10%. Source: Authors’ estimations with ICSs data.

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