Table 2 Average partial effects and their confidence intervals obtained through bootstrapping (CL-L and CL-U) using the multivariate model
From: Make or buy: train in-company or recruit from the labour market?
Independent variables | (Realised and unmet) demand for… | ||||
|---|---|---|---|---|---|
Regressors | New apprentices | Unskilled workers | Workers with IVET qualifications | Technicians and master craftsmen | Workers with university degrees |
IVET cost | .011* (.006) | -.007 (.005) | .006 (.007) | -.0002 (.003) | -.009** (.004) |
IVET benefit | .020** (.010) | -.008 (.006) | .007 (.010) | .001 (.004) | -.021*** (.006) |
Wage regression residuals | -.040 (.031) | -.030** (.015) | .028 (.026) | .005 (.013) | .038*** (.014) |
Churning rate | -.770*** (.166) | .131*** (.027) | .520*** (.110) | .043* (.024) | .077** (.030) |
Employment growth (2009-2010) | -.132*** (.014) | .050*** (.012) | .084*** (.017) | -.006 (.007) | .004 (.010) |
Share of vacancies | .050 (.036) | -.060** (.027) | -.032 (.043) | -.013 (.020) | .054** (.026) |
Collective agreement | .024 (.015) | -.003 (.011) | -.014 (.018) | -.005 (.008) | -.002 (.012) |
Works council | .030 (.019) | -.010 (.014) | -.046** (.022) | .000 (.011) | .026** (.013) |
Superior technical facilities | .022* (.013) | .007 (.011) | -.045*** (.016) | .011 (.007) | .006 (.009) |
Frequent change of products | .017 (.020) | -.008 (.017) | -.001 (.024) | .001 (.011) | -.009 (.014) |
Focus on new products | -.011 (.016) | -.011 (.011) | -.006 (.017) | .008 (.008) | .019* (.010) |
Focus on price as primary competitive factor | .010 (.018) | .037*** (.014) | -.046** (.021) | -.010 (.008) | .009 (.013) |
Share of unskilled staff | -.364 (.242) | .390*** (.114) | -.072 (.172) | .045 (.047) | .0003 (.068) |
Share of staff with IVET qualifications | -.275 (.253) | .041 (.115) | .168 (.170) | .021 (.043) | .044 (.064) |
Share of technicians and master craftsmen | -.240 (.281) | -.002 (.145) | -.196 (.221) | .263*** (.047) | .175** (.078) |
Share of staff with university degree | -.271 (.254) | -.048 (.125) | -.269 (.186) | .116** (.047) | .473*** (.060) |
Further training | .019 (.024) | -.050** (.020) | -.001 (.027) | .012 (.011) | .020 (.018) |
Manufacturing | .071** (.028) | .047** (.023) | -.105*** (.031) | -.043** (.019) | .030* (.016) |
Commerce and repair | .098*** (.032) | .014 (.025) | -.055 (.035) | -.044* (.023) | -.014 (.018) |
Private Services | .055** (.027) | .019 (.022) | -.064** (.030) | -.049*** (.019) | .039** (.018) |
Public service, education, teaching | -.078*** (.027) | .014 (.022) | .043 (.034) | -.034* (.020) | .055*** (.018) |
Young company | -.003 (.032) | -.033* (.018) | .056 (.035) | .010 (.019) | -.029 (.018) |
Company size-class 2: 20-99 | .004 (.031) | .028* (.017) | -.029 (.031) | .018 (.013) | -.020 (.016) |
Company size-class 3: 100-199 | .040 (.041) | .004 (.020) | -.080** (.038) | .019 (.015) | .024 (.020) |
Company size-class 4: 200+ | .026 (.040) | .025 (.020) | -.087** (.036) | .007 (.013) | .028* (.017) |
Western Germany | .016 (.017) | .009 (.012) | -.035* (.018) | .010 (.008) | -.001 (.011) |
Number of observations | 1,567 | ||||