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 9 Educational mismatches in the current job. 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	− 0.0046	0.0811	− 0.0624	0.0801	0.0140	0.0524	0.0530	0.0576
Biology	− 0.2496	0.0610	*0.0971*	0.0480	0.0478	0.0435	*0.1047*	0.0472
Business Studies	− 0.2766	0.0609	0.0549	0.0485	*0.1419*	0.0424	0.0798	0.0472
Chemistry	− 0.1004	0.0620	*0.0963*	0.0482	0.0582	0.0434	− 0.0541	0.0497
Engineering	0.0248	0.0603	0.0741	0.0475	0.0458	0.0423	− 0.1448	0.0481
Fine Arts	− 0.3855	0.0690	0.0815	0.0527	*0.1329*	0.0455	*0.1711*	0.0516
History and Philosophy	− 0.3392	0.0610	*0.1822*	0.0472	− 0.0401	0.0454	*0.1971*	0.0463
Journalism	− 0.2792	0.0600	*0.1283*	0.0474	0.0429	0.0428	*0.1081*	0.0464
Labor Relations	− 0.3321	0.0631	0.0848	0.0488	0.0757	0.0442	*0.1717*	0.0479
Languages and Literature	− 0.1297	0.0614	*0.1083*	0.0477	− 0.0433	0.0455	0.0648	0.0472
Law Studies	− 0.1508	0.0606	0.0584	0.0481	0.0524	0.0430	0.0401	0.0472
Management and Economics Studies	− 0.1568	0.0598	0.0752	0.0476	*0.0991*	0.0421	− 0.0175	0.0468
Mathematics	− 0.1036	0.0645	*0.0959*	0.0490	− 0.0028	0.0471	0.0105	0.0506
Medicine	*2.0203*	0.0841	0.1181	0.0801	0.1033	0.0632	− 2.2417	0.0590
Nursing Studies	0.0964	0.0606	0.0080	0.0485	− 0.0101	0.0431	− 0.0943	0.0476
Pharmacy	− 0.0907	0.0628	*0.1044*	0.0483	0.0452	0.0440	− 0.0589	0.0503
Physics	− 0.0195	0.0667	*0.0975*	0.0494	− 0.0075	0.0485	− 0.0704	0.0547
Political Science and Sociology	− 0.3081	0.0642	*0.1314*	0.0483	0.0477	0.0458	*0.1290*	0.0492
Psychology	− 0.1891	0.0606	0.0893	0.0477	0.0092	0.0436	0.0905	0.0468
Quantity Surveyors	− 0.1492	0.0625	0.0528	0.0489	0.0058	0.0450	0.0907	0.0479
Social Work	− 0.2775	0.0617	0.0504	0.0489	0.0339	0.0441	0.1932	0.0468
Sports Science	− 0.2613	0.0627	*0.0964*	0.0487	*0.1369*	0.0429	0.0280	0.0496
Teacher Studies	− 0.1665	0.0591	0.0540	0.0473	0.0699	0.0420	0.0426	0.0459
Technical Engineering	− 0.1423	0.0593	0.0758	0.0473	0.0605	0.0420	0.0060	0.0462
Tourism Studies	− 0.3774	0.0613	*0.1129*	0.0480	*0.1261*	0.0428	*0.1385*	0.0472
Veterinary	0.1795	0.0769	0.0179	0.0574	− 0.0707	0.0585	− 0.1268	0.0630
Other university degrees	Reference		Reference		Reference		Reference
Control variables
Female (= 1)	− 0.0114	0.0074	− 0.0073	0.0043	0.0021	0.0046	*0.0166*	0.0061
Master’s degree (= 1 yes)	*0.0620*	0.0075	− 0.0006	0.0043	− 0.0232	0.0050	− 0.0381	0.0061
Age (under 30 years old)	*0.0502*	0.0080	− 0.0124	0.0049	− 0.0159	0.0049	− 0.0219	0.0065
Age (from 30 to 34 years old)	Reference		Reference		Reference		Reference
Age (35 years old or older)	− 0.0147	0.0105	*0.0439*	0.0052	− 0.0107	0.0067	− 0.0186	0.0085

Dependent variable: mismatchcurrentjob
In bolditalics, marginal effects that have a positive and statistically significant contribution to the probability of being well-matched or mismatched in the current 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. = 18,660
Except for rounding errors, the sum of the marginal effects for the four categories must be 0
Source: author's estimates

Back to article page