Table A16 OLS estimates of labour market...

Table A16

OLS estimates of labour market concentration on skill/competency demand (group 2), Binary measure across high and low skill occupations

	Cognitive	Hard skills	Organizational	Social	Digital
Group 2, Binary measure: High-skill occupations
log(HHI)	0.0020	0.0038**	0.0026*	0.0060***	0.0028**
	(0.0013)	(0.0013)	(0.0011)	(0.0012)	(0.0011)
MDV	0.540	0.550	0.211	0.532	0.287
mean(HHI*10k)	1,340	1,340	1,340	1,340	1,340
R²	0.258	0.222	0.163	0.293	0.348
N	279,239	279,239	279,239	279,239	279,239
Group 2, Binary measure: Low-skill occupations
log(HHI)	−0.0012	0.0028**	−0.0031***	0.0002	−0.0013*
	(0.0010)	(0.0011)	(0.0004)	(0.0010)	(0.0006)
MDV	0.162	0.275	0.030	0.381	0.056
mean(HHI*10k)	1,298	1,298	1,298	1,298	1,298
R²	0.096	0.220	0.093	0.462	0.107
N	273,788	273,788	273,788	273,788	273,788

	Cognitive	Hard skills	Organizational	Social	Digital
Group 2, Binary measure: High-skill occupations
log(HHI)	0.0020	0.0038**	0.0026*	0.0060***	0.0028**
	(0.0013)	(0.0013)	(0.0011)	(0.0012)	(0.0011)
MDV	0.540	0.550	0.211	0.532	0.287
mean(HHI*10k)	1,340	1,340	1,340	1,340	1,340
R²	0.258	0.222	0.163	0.293	0.348
N	279,239	279,239	279,239	279,239	279,239
Group 2, Binary measure: Low-skill occupations
log(HHI)	−0.0012	0.0028**	−0.0031***	0.0002	−0.0013*
	(0.0010)	(0.0011)	(0.0004)	(0.0010)	(0.0006)
MDV	0.162	0.275	0.030	0.381	0.056
mean(HHI*10k)	1,298	1,298	1,298	1,298	1,298
R²	0.096	0.220	0.093	0.462	0.107
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 binary measure of the finer skill 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

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