OLS estimates of labour market concentration on skill/competency demand (group 2), TF-IDF measure across high and low skill occupations
| Cognitive | Hard skills | Organizat | Social | Digital | |
|---|---|---|---|---|---|
| Group 2, TF-IDF measure: High-skill occupations | |||||
| log(HHI) | −0.0001 | 0.0005 | 0.0004 | 0.0003 | −0.0004 |
| (0.0004) | (0.0004) | (0.0002) | (0.0004) | (0.0002) | |
| MDV | 0.073 | 0.070 | 0.031 | 0.050 | 0.029 |
| mean(HHI*10k) | 1,340 | 1,340 | 1,340 | 1,340 | 1,340 |
| R2 | 0.071 | 0.099 | 0.055 | 0.069 | 0.050 |
| N | 279,239 | 279,239 | 279,239 | 279,239 | 279,239 |
| Group 2, TF-IDF measure: Low-skill occupations | |||||
| log(HHI) | −0.0011 | 0.0018** | −0.0014*** | 0.0015** | −0.0005 |
| (0.0007) | (0.0007) | (0.0002) | (0.0005) | (0.0002) | |
| MDV | 0.079 | 0.108 | 0.012 | 0.070 | 0.019 |
| mean(HHI*10k) | 1,298 | 1,298 | 1,298 | 1,298 | 1,298 |
| R2 | 0.027 | 0.065 | 0.048 | 0.098 | 0.055 |
| N | 273,788 | 273,788 | 273,788 | 273,788 | 273,788 |
| Cognitive | Hard skills | Organizat | Social | Digital | |
|---|---|---|---|---|---|
| log(HHI) | −0.0001 | 0.0005 | 0.0004 | 0.0003 | −0.0004 |
| (0.0004) | (0.0004) | (0.0002) | (0.0004) | (0.0002) | |
| MDV | 0.073 | 0.070 | 0.031 | 0.050 | 0.029 |
| mean(HHI*10k) | 1,340 | 1,340 | 1,340 | 1,340 | 1,340 |
| 0.071 | 0.099 | 0.055 | 0.069 | 0.050 | |
| N | 279,239 | 279,239 | 279,239 | 279,239 | 279,239 |
| log(HHI) | −0.0011 | 0.0018** | −0.0014*** | 0.0015** | −0.0005 |
| (0.0007) | (0.0007) | (0.0002) | (0.0005) | (0.0002) | |
| MDV | 0.079 | 0.108 | 0.012 | 0.070 | 0.019 |
| mean(HHI*10k) | 1,298 | 1,298 | 1,298 | 1,298 | 1,298 |
| 0.027 | 0.065 | 0.048 | 0.098 | 0.055 | |
| N | 273,788 | 273,788 | 273,788 | 273,788 | 273,788 |
Note(s): Each observation consists in a vacancy. This table reports the OLS regression outputs using as dependent variables the TF-IDF intensity measure of the finer classification (group 2) described in section 4. The independent variable is the log of the employment HHI, measured at the industry (2-digit ATECO code), province (NUTS-3), and year level. All the regressions include year, province, industry, and occupation (ISCO 4-dig) fixed effects. Robust standard errors in parentheses ***p < 0.01, **p < 0.05, *p < 0.1
Source(s): Authors' calculation on AIDA and Wollybi data in 2015–2018 period