Table 2.

Relationship between agglomeration and skills vacancies and gaps—2SLS estimates

(1)(2)(3)(4)(5)(6)(7)(8)
Skill gapsVacanciesSkill-shortage vacanciesHard-to-fill vacancies
Ind. density−0.0256**−0.0263**−0.0398***−0.0382***−0.0294***−0.0290***−0.0316***−0.0311***
(0.0123)(0.0125)(0.0119)(0.0120)(0.00698)(0.00707)(0.00738)(0.00746)
Density spillover−0.001650.00388−0.0116*−0.00867
(0.00905)(0.0146)(0.00702)(0.0104)
Downstream density0.00843−0.0189−0.0119−0.0103
(0.0133)(0.0123)(0.00989)(0.0104)
Upstream density−0.004740.0108−0.00640**−0.00197
(0.00833)(0.0101)(0.00327)(0.00691)
HH Index−0.0413−0.0438−0.0877**−0.0821**−0.0284−0.0269−0.0620*−0.0605*
(0.0490)(0.0492)(0.0364)(0.0365)(0.0283)(0.0283)(0.0334)(0.0335)
Lab. productivity0.0109*0.0108*−0.00137−0.00111−0.00192−0.00185−0.00650−0.00643
(0.00614)(0.00613)(0.00761)(0.00761)(0.00418)(0.00418)(0.00512)(0.00512)
NUTS2-IND FEYYYYYYYY
 YEAR FEYYYYYYYY
 NUTS2-YEAR FEYYYYYYYY
 Observations2,0832,0832,0812,0812,0822,0822,0812,081
R-squared0.1960.1960.3040.3030.3430.3430.3800.380
(1)(2)(3)(4)(5)(6)(7)(8)
Skill gapsVacanciesSkill-shortage vacanciesHard-to-fill vacancies
Ind. density−0.0256**−0.0263**−0.0398***−0.0382***−0.0294***−0.0290***−0.0316***−0.0311***
(0.0123)(0.0125)(0.0119)(0.0120)(0.00698)(0.00707)(0.00738)(0.00746)
Density spillover−0.001650.00388−0.0116*−0.00867
(0.00905)(0.0146)(0.00702)(0.0104)
Downstream density0.00843−0.0189−0.0119−0.0103
(0.0133)(0.0123)(0.00989)(0.0104)
Upstream density−0.004740.0108−0.00640**−0.00197
(0.00833)(0.0101)(0.00327)(0.00691)
HH Index−0.0413−0.0438−0.0877**−0.0821**−0.0284−0.0269−0.0620*−0.0605*
(0.0490)(0.0492)(0.0364)(0.0365)(0.0283)(0.0283)(0.0334)(0.0335)
Lab. productivity0.0109*0.0108*−0.00137−0.00111−0.00192−0.00185−0.00650−0.00643
(0.00614)(0.00613)(0.00761)(0.00761)(0.00418)(0.00418)(0.00512)(0.00512)
NUTS2-IND FEYYYYYYYY
 YEAR FEYYYYYYYY
 NUTS2-YEAR FEYYYYYYYY
 Observations2,0832,0832,0812,0812,0822,0822,0812,081
R-squared0.1960.1960.3040.3030.3430.3430.3800.380

Notes: Results estimated using a 2SLS model. Robust standard errors clustered at the region-industry level reported in parentheses.

Source: Authors’ elaboration based on ESS and BSD data.

***p < 0.01, **p < 0.05, *p < 0.1.

Table 2.

Relationship between agglomeration and skills vacancies and gaps—2SLS estimates

(1)(2)(3)(4)(5)(6)(7)(8)
Skill gapsVacanciesSkill-shortage vacanciesHard-to-fill vacancies
Ind. density−0.0256**−0.0263**−0.0398***−0.0382***−0.0294***−0.0290***−0.0316***−0.0311***
(0.0123)(0.0125)(0.0119)(0.0120)(0.00698)(0.00707)(0.00738)(0.00746)
Density spillover−0.001650.00388−0.0116*−0.00867
(0.00905)(0.0146)(0.00702)(0.0104)
Downstream density0.00843−0.0189−0.0119−0.0103
(0.0133)(0.0123)(0.00989)(0.0104)
Upstream density−0.004740.0108−0.00640**−0.00197
(0.00833)(0.0101)(0.00327)(0.00691)
HH Index−0.0413−0.0438−0.0877**−0.0821**−0.0284−0.0269−0.0620*−0.0605*
(0.0490)(0.0492)(0.0364)(0.0365)(0.0283)(0.0283)(0.0334)(0.0335)
Lab. productivity0.0109*0.0108*−0.00137−0.00111−0.00192−0.00185−0.00650−0.00643
(0.00614)(0.00613)(0.00761)(0.00761)(0.00418)(0.00418)(0.00512)(0.00512)
NUTS2-IND FEYYYYYYYY
 YEAR FEYYYYYYYY
 NUTS2-YEAR FEYYYYYYYY
 Observations2,0832,0832,0812,0812,0822,0822,0812,081
R-squared0.1960.1960.3040.3030.3430.3430.3800.380
(1)(2)(3)(4)(5)(6)(7)(8)
Skill gapsVacanciesSkill-shortage vacanciesHard-to-fill vacancies
Ind. density−0.0256**−0.0263**−0.0398***−0.0382***−0.0294***−0.0290***−0.0316***−0.0311***
(0.0123)(0.0125)(0.0119)(0.0120)(0.00698)(0.00707)(0.00738)(0.00746)
Density spillover−0.001650.00388−0.0116*−0.00867
(0.00905)(0.0146)(0.00702)(0.0104)
Downstream density0.00843−0.0189−0.0119−0.0103
(0.0133)(0.0123)(0.00989)(0.0104)
Upstream density−0.004740.0108−0.00640**−0.00197
(0.00833)(0.0101)(0.00327)(0.00691)
HH Index−0.0413−0.0438−0.0877**−0.0821**−0.0284−0.0269−0.0620*−0.0605*
(0.0490)(0.0492)(0.0364)(0.0365)(0.0283)(0.0283)(0.0334)(0.0335)
Lab. productivity0.0109*0.0108*−0.00137−0.00111−0.00192−0.00185−0.00650−0.00643
(0.00614)(0.00613)(0.00761)(0.00761)(0.00418)(0.00418)(0.00512)(0.00512)
NUTS2-IND FEYYYYYYYY
 YEAR FEYYYYYYYY
 NUTS2-YEAR FEYYYYYYYY
 Observations2,0832,0832,0812,0812,0822,0822,0812,081
R-squared0.1960.1960.3040.3030.3430.3430.3800.380

Notes: Results estimated using a 2SLS model. Robust standard errors clustered at the region-industry level reported in parentheses.

Source: Authors’ elaboration based on ESS and BSD data.

***p < 0.01, **p < 0.05, *p < 0.1.

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