Table A17 OLS estimates of labour market...

Table A17

OLS estimates of labour market concentration on skill/competency demand (group 1), TF-IDF measure across high and low skill occupations

	Skills	Knowledge	Ability	Activities	Styles
Group 1, TF-IDF measure: High-skill occupations
log(HHI)	0.0003	−0.0007***	−0.0005	0.0004	0.0001
	(0.0003)	(0.0002)	(0.0003)	(0.0003)	(0.0003)
MDV	0.073	0.052	0.022	0.067	0.065
mean(HHI*10k)	1,340	1,340	1,340	1,340	1,340
R²	0.319	0.290	0.019	0.267	0.122
N	279,239	279,239	279,239	279,239	279,239
Group 1, TF-IDF measure: Low-skill occupations
log(HHI)	0.0013	−0.0011	−0.0000	0.0008	0.0019*
	(0.0007)	(0.0007)	(0.0003)	(0.0007)	(0.0008)
MDV	0.127	0.114	0.012	0.122	0.142
mean(HHI*10k)	1,298	1,298	1,298	1,298	1,298
R²	0.079	0.093	0.014	0.076	0.086
N	273,788	273,788	273,788	273,788	273,788

	Skills	Knowledge	Ability	Activities	Styles
Group 1, TF-IDF measure: High-skill occupations
log(HHI)	0.0003	−0.0007***	−0.0005	0.0004	0.0001
	(0.0003)	(0.0002)	(0.0003)	(0.0003)	(0.0003)
MDV	0.073	0.052	0.022	0.067	0.065
mean(HHI*10k)	1,340	1,340	1,340	1,340	1,340
R²	0.319	0.290	0.019	0.267	0.122
N	279,239	279,239	279,239	279,239	279,239
Group 1, TF-IDF measure: Low-skill occupations
log(HHI)	0.0013	−0.0011	−0.0000	0.0008	0.0019*
	(0.0007)	(0.0007)	(0.0003)	(0.0007)	(0.0008)
MDV	0.127	0.114	0.012	0.122	0.142
mean(HHI*10k)	1,298	1,298	1,298	1,298	1,298
R²	0.079	0.093	0.014	0.076	0.086
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 broader classification (group 1) 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

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