Mapping the (mis)match of university degrees in the graduate labor market

Salas-Velasco, Manuel

doi:10.1186/s12651-021-00297-x

Journal for Labour Market Research

Table 8 Educational mismatches in the first job after graduation. Only wage-earners workers (excluding self-employment). Average marginal effects

From: Mapping the (mis)match of university degrees in the graduate labor market

	No mismatch		Horizontal mismatch		Vertical mismatch		Vertical and horizontal mismatch
	dy/dx	Std. Err	dy/dx	Std. Err	dy/dx	Std. Err	dy/dx	Std. Err
University degrees (narrow fields of education)
Architecture	0.0377	0.0583	− 0.0582	0.0382	0.0410	0.0490	− 0.0206	0.0530
Biology	− 0.1630	0.0468	0.0030	0.0239	0.0509	0.0416	*0.1091*	0.0418
Business Studies	− 0.2663	0.0472	− 0.0247	0.0251	*0.1848*	0.0407	*0.1062*	0.0421
Chemistry	− 0.0607	0.0477	0.0044	0.0244	*0.0828*	0.0416	− 0.0265	0.0435
Engineering	0.0629	0.0460	0.0114	0.0231	*0.1008*	0.0404	− 0.1752	0.0424
Fine Arts	− 0.3210	0.0549	− 0.0349	0.0313	*0.1552*	0.0438	*0.2007*	0.0464
History and Philosophy	− 0.2702	0.0469	*0.0910*	0.0227	− 0.0323	0.0428	*0.2116*	0.0412
Journalism	− 0.2000	0.0459	0.0328	0.0231	0.0606	0.0408	*0.1065*	0.0411
Labor Relations	− 0.2700	0.0497	0.0146	0.0250	*0.1144*	0.0424	*0.1411*	0.0437
Languages and Literature	− 0.0202	0.0473	0.0197	0.0234	− 0.0615	0.0437	0.0620	0.0420
Law Studies	− 0.0794	0.0467	− 0.0010	0.0239	0.0386	0.0416	0.0419	0.0420
Management and Economics Studies	− 0.1397	0.0456	0.0030	0.0233	*0.1259*	0.0403	0.0107	0.0412
Mathematics	0.0185	0.0516	0.0322	0.0245	− 0.0231	0.0472	− 0.0276	0.0467
Medicine	*0.5364*	0.0623	− 0.0686	0.0351	− 0.1667	0.0602	− 0.3012	0.0598
Nursing Studies	*0.1850*	0.0462	− 0.0349	0.0244	− 0.0052	0.0412	− 0.1449	0.0422
Pharmacy	− 0.0633	0.0486	0.0422	0.0240	0.0777	0.0422	− 0.0566	0.0447
Physics	0.0872	0.0527	0.0159	0.0254	− 0.0456	0.0490	− 0.0575	0.0481
Political Science and Sociology	− 0.2732	0.0515	*0.0533*	0.0241	0.0647	0.0445	*0.1551*	0.0447
Psychology	− 0.1524	0.0467	0.0333	0.0236	0.0199	0.0418	*0.0992*	0.0417
Quantity Surveyors	− 0.0108	0.0487	− 0.0372	0.0261	− 0.0048	0.0438	0.0528	0.0434
Social Work	− 0.2353	0.0477	0.0085	0.0247	0.0475	0.0421	*0.1793*	0.0420
Sports Science	− 0.2351	0.0492	0.0041	0.0256	*0.1905*	0.0412	0.0404	0.0443
Teacher Studies	− 0.1937	0.0450	0.0075	0.0230	*0.1209*	0.0401	0.0652	0.0405
Technical Engineering	− 0.1030	0.0450	− 0.0037	0.0229	*0.1026*	0.0401	0.0042	0.0407
Tourism Studies	− 0.3350	0.0477	0.0325	0.0240	*0.1671*	0.0409	*0.1354*	0.0423
Veterinary	*0.1734*	0.0570	− 0.0619	0.0382	− 0.0361	0.0505	− 0.0753	0.0519
Other university degrees	Reference		Reference		Reference		Reference
Control variables
Female (= 1)	− 0.0024	0.0068	− 0.0108	0.0033	0.0043	0.0047	0.0088	0.0060
Internship (= 1 yes)	*0.0200*	0.0073	− 0.0266	0.0036	*0.0134*	0.0052	-0.0069	0.0065

Dependent variable: mismatchfirstjob
In bolditalics, marginal effects that have a positive and statistically significant contribution to the probability of being well-matched or mismatched in the first job at a significance level of 0.05 (5%). In italics, for a significance level of 10%
Standard errors for average marginal effects are computed by the Stata margins command using the Delta-method
Model VCE: Robust
Number of obs. = 24,314
Except for rounding errors, the sum of the marginal effects for the four categories must be 0
Source: author's estimates

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