Detailed OLS results Econometric Analysis of the Public-Private Sector Pay Differential 2018

Table 7.1 OLS model estimates on log weekly earnings - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015

Table 7.1 OLS model estimates on log weekly earnings - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.295	19.32	2.290	13.56	2.400	14.09
Occupation
Managers, directors and senior officials	0.426	20.59	0.401	15.44	0.496	14.17
Professional	0.431	23.36	0.422	17.53	0.478	15.64
Associate professional and technical	0.310	17.4	0.284	12.92	0.392	12.53
Administrative and secretarial	0.164	8.61	0.136	4.52	0.225	7.73
Skilled trades	0.187	10.2	0.180	8.58	0.062	1.26
Caring, leisure and other service	0.051	2.26	-0.014	-0.36	0.119	3.7
Sales and customer service	0.024	1.14	-0.014	-0.49	0.102	3.19
Process, plant and machine operatives	0.132	7.05	0.095	4.45	0.274	6.32
Education attained
Third level degree or higher	0.347	19.94	0.337	15.79	0.359	10.95
Third level non-degree	0.191	10.61	0.166	7.37	0.227	6.85
Post leaving certificate	0.104	5.79	0.111	5.12	0.091	2.66
Higher secondary	0.084	5.21	0.075	3.9	0.116	3.61
Male	0.146	15.94
Public sector^*	0.065	5.24	0.010	0.53	0.130	7.57
Nationality
UK	0.020	0.79	0.067	2.02	-0.052	-1.24
EU excluding IE and UK	-0.168	-11.72	-0.158	-8.53	-0.165	-7.3
Other	-0.110	-3.98	-0.115	-3.19	-0.080	-1.87
Trade union member	0.086	8.01	0.096	6.6	0.065	4.01
Age	0.073	18.84	0.080	15.16	0.065	11.35
Age²	-0.766	-16.29	-0.822	-12.95	-0.699	-10.03
Less than 100 employees	-0.176	-21.12	-0.200	-17.78	-0.137	-10.98
Length of service with current employer	0.009	14.73	0.009	11.23	0.008	9.38
Ln Overtime hours	0.009	2.67	0.008	2.03	0.010	1.47
Ln hours	0.574	23.77	0.580	15.95	0.573	17.8
Shift work	-0.023	-2.06	-0.002	-0.16	-0.050	-2.81
Supervisor	0.098	10.89	0.117	9.37	0.082	6.27
n	9,779		5,346		4,433
R-Square	0.492		0.499		0.483
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.1 (XLS 12KB)

Table 7.2 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015

Table 7.2 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	1.893	15.79	1.953	11.31	2.025	11.97
Occupation
Managers, directors and senior officials	0.426	20.11	0.403	15.08	0.496	13.99
Professional	0.443	23.51	0.448	18.13	0.482	15.56
Associate professional and technical	0.331	18.22	0.306	13.58	0.413	13.07
Administrative and secretarial	0.183	9.43	0.166	5.35	0.237	8.02
Skilled trades	0.180	9.57	0.174	8.08	0.051	1.02
Caring, leisure and other service	0.035	1.53	-0.024	-0.59	0.103	3.19
Sales and customer service	0.022	1.05	-0.017	-0.57	0.098	3.05
Process, plant and machine operatives	0.156	8.17	0.120	5.43	0.323	7.39
Education attained
Third level degree or higher	0.373	21.01	0.377	17.25	0.359	10.79
Third level non-degree	0.208	11.32	0.195	8.43	0.222	6.6
Post leaving certificate	0.110	6.04	0.126	5.68	0.079	2.28
Higher secondary	0.091	5.49	0.083	4.21	0.112	3.45
Male	0.150	16.07
Public sector^*	0.069	5.38	0.002	0.08	0.147	8.44
Nationality
UK	0.038	1.44	0.088	2.6	-0.041	-0.98
EU excluding IE and UK	-0.161	-11	-0.155	-8.14	-0.155	-6.77
Other	-0.092	-3.27	-0.104	-2.82	-0.060	-1.39
Trade union member	0.100	9.08	0.122	8.21	0.066	4.02
Age	0.077	19.27	0.082	15.15	0.070	11.96
Age²	-0.805	-16.75	-0.846	-12.96	-0.751	-10.66

Length of service with current employer	0.009	14.82	0.009	11.27	0.009	9.38
Ln Overtime hours	0.009	2.73	0.008	1.96	0.012	1.72
Ln hours	0.626	25.46	0.613	16.39	0.626	19.43
Shift work	0.003	0.29	0.028	1.92	-0.031	-1.69
Supervisor	0.101	10.93	0.115	9.01	0.086	6.49
n	9,779		5,346		4,433
R-Square	0.469		0.469		0.469
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.2 (XLS 12KB)

Table 7.3 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015

Table 7.3 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.319	19.61	2.300	13.66	2.438	14.41
Occupation
Managers, directors and senior officials	0.425	20.62	0.400	15.43	0.495	14.24
Professional	0.428	23.3	0.420	17.48	0.474	15.62
Associate professional and technical	0.308	17.39	0.283	12.9	0.391	12.59
Administrative and secretarial	0.165	8.71	0.137	4.54	0.227	7.85
Skilled trades	0.187	10.23	0.179	8.57	0.064	1.31
Caring, leisure and other service	0.056	2.49	-0.011	-0.28	0.124	3.88
Sales and customer service	0.022	1.07	-0.015	-0.54	0.100	3.17
Process, plant and machine operatives	0.132	7.06	0.095	4.43	0.274	6.36
Education attained
Third level degree or higher	0.344	19.88	0.336	15.76	0.354	10.88
Third level non-degree	0.189	10.57	0.165	7.34	0.224	6.79
Post leaving certificate	0.103	5.77	0.110	5.1	0.089	2.62
Higher secondary	0.084	5.18	0.074	3.89	0.114	3.56
Male	0.145	15.93
Public sector^*	0.010	0.83	-0.050	-2.73	0.079	4.65
Nationality
UK	0.020	0.77	0.066	2	-0.052	-1.26
EU excluding IE and UK	-0.168	-11.83	-0.159	-8.58	-0.166	-7.41
Other	-0.111	-4.03	-0.116	-3.22	-0.081	-1.9
Trade union member	0.085	7.92	0.095	6.57	0.063	3.93
Age	0.073	18.87	0.080	15.17	0.065	11.37
Age²	-0.764	-16.32	-0.821	-12.97	-0.696	-10.05
Less than 100 employees	-0.177	-21.32	-0.201	-17.89	-0.138	-11.14
Length of service with current employer	0.008	14.53	0.008	11.14	0.008	9.19
Ln Overtime hours	0.009	2.64	0.008	1.99	0.010	1.46
Ln hours	0.570	23.7	0.580	15.98	0.566	17.72
Shift work	-0.024	-2.18	-0.004	-0.25	-0.051	-2.88
Supervisor	0.097	10.84	0.116	9.34	0.081	6.25
n	9,779		5,346		4,433
R-Square	0.483		0.492		0.468
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.3 (XLS 12KB)

Table 7.4 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015

Table 7.4 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2015
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	1.915	16.04	1.961	11.39	2.061	12.26
Occupation
Managers, directors and senior officials	0.425	20.13	0.402	15.06	0.495	14.06
Professional	0.441	23.44	0.446	18.08	0.478	15.54
Associate professional and technical	0.330	18.21	0.305	13.55	0.413	13.13
Administrative and secretarial	0.185	9.54	0.166	5.38	0.239	8.14
Skilled trades	0.179	9.58	0.173	8.06	0.053	1.06
Caring, leisure and other service	0.040	1.76	-0.021	-0.51	0.108	3.36
Sales and customer service	0.021	0.98	-0.018	-0.62	0.097	3.03
Process, plant and machine operatives	0.156	8.18	0.119	5.42	0.324	7.44
Education attained
Third level degree or higher	0.370	20.95	0.376	17.22	0.354	10.71
Third level non-degree	0.206	11.28	0.194	8.41	0.218	6.53
Post leaving certificate	0.110	6.02	0.126	5.65	0.077	2.24
Higher secondary	0.090	5.46	0.083	4.2	0.110	3.4
Male	0.150	16.06
Public sector^*	0.014	1.07	-0.058	-3.09	0.096	5.56
Nationality
UK	0.037	1.42	0.088	2.58	-0.042	-0.99
EU excluding IE and UK	-0.162	-11.1	-0.156	-8.18	-0.156	-6.86
Other	-0.093	-3.32	-0.105	-2.85	-0.061	-1.4
Trade union member	0.099	9	0.122	8.19	0.064	3.94
Age	0.076	19.3	0.082	15.16	0.069	11.98
Age²	-0.803	-16.78	-0.845	-12.97	-0.748	-10.68

Length of service with current employer	0.009	14.63	0.009	11.19	0.008	9.19
Ln Overtime hours	0.009	2.7	0.008	1.93	0.012	1.72
Ln hours	0.622	25.41	0.612	16.42	0.621	19.37
Shift work	0.002	0.19	0.027	1.85	-0.031	-1.74
Supervisor	0.100	10.88	0.115	8.98	0.085	6.47
n	9,779		5,346		4,433
R-Square	0.459		0.461		0.453
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.4 (XLS 12KB)

Table 7.5 OLS model estimates on log weekly earnings - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016

Table 7.5 OLS model estimates on log weekly earnings - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.693	22.01	2.864	16.39	2.726	15.88
Occupation
Managers, directors and senior officials	0.373	17.22	0.331	11.82	0.463	13.24
Professional	0.460	23.42	0.463	17.71	0.489	15.7
Associate professional and technical	0.363	19.17	0.340	14.04	0.437	13.93
Administrative and secretarial	0.162	7.99	0.123	3.8	0.222	7.42
Skilled trades	0.176	8.94	0.170	7.32	0.018	0.37
Caring, leisure and other service	0.063	2.71	0.010	0.25	0.133	4.13
Sales and customer service	0.016	0.7	-0.001	-0.02	0.072	2.18
Process, plant and machine operatives	0.129	6.37	0.102	4.3	0.197	4.44
Education attained
Third level degree or higher	0.295	15.85	0.284	12	0.310	9.41
Third level non-degree	0.146	7.66	0.141	5.79	0.162	4.84
Post leaving certificate	0.077	4.1	0.099	4.23	0.043	1.27
Higher secondary	0.047	2.73	0.038	1.81	0.077	2.33
Male	0.147	15.51
Public sector^*	0.022	1.64	-0.051	-2.51	0.105	6
Nationality
UK	0.016	0.56	0.024	0.68	0.002	0.04
EU excluding IE and UK	-0.145	-9.91	-0.156	-7.85	-0.122	-5.65
Other	-0.109	-4.21	-0.115	-3.43	-0.092	-2.24
Trade union member	0.090	7.87	0.119	7.42	0.042	2.59
Age	0.071	17.56	0.078	13.99	0.062	10.64
Age²	-0.744	-15.16	-0.805	-11.87	-0.662	-9.41
Less than 100 employees	-0.183	-20.85	-0.198	-16.24	-0.157	-12.54
Length of service with current employer	0.009	13.94	0.008	9.78	0.009	9.9
Ln Overtime hours	0.013	4.1	0.013	3.42	0.011	1.84
Ln hours	0.487	19.51	0.439	11.79	0.519	15.78
Shift work	-0.032	-2.7	-0.010	-0.67	-0.060	-3.38
Supervisor	0.106	11.05	0.118	8.9	0.097	7.11
n	9,054		4,992		4,062
R-Square	0.481		0.468		0.502
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.5 (XLS 12KB)

Table 7.6 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016

Table 7.6 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.310	18.65	2.527	14.2	2.336	13.57
Occupation
Managers, directors and senior officials	0.367	16.54	0.327	11.38	0.456	12.8
Professional	0.470	23.35	0.483	18.05	0.491	15.48
Associate professional and technical	0.386	19.92	0.365	14.71	0.456	14.3
Administrative and secretarial	0.180	8.67	0.148	4.44	0.233	7.66
Skilled trades	0.166	8.24	0.162	6.82	-0.000	0
Caring, leisure and other service	0.052	2.18	0.002	0.05	0.121	3.71
Sales and customer service	0.017	0.75	0.000	0.01	0.073	2.17
Process, plant and machine operatives	0.151	7.3	0.119	4.91	0.260	5.78
Education attained
Third level degree or higher	0.331	17.47	0.326	13.5	0.335	10.01
Third level non-degree	0.165	8.45	0.164	6.58	0.172	5.05
Post leaving certificate	0.083	4.31	0.108	4.48	0.043	1.23
Higher secondary	0.058	3.28	0.047	2.16	0.089	2.66
Male	0.150	15.46
Public sector*	0.022	1.66	-0.052	-2.52	0.113	6.36
Nationality
UK	0.028	0.97	0.032	0.86	0.021	0.46
EU excluding IE and UK	-0.130	-8.67	-0.140	-6.87	-0.110	-4.98
Other	-0.118	-4.46	-0.131	-3.81	-0.095	-2.27
Trade union member	0.109	9.29	0.151	9.29	0.046	2.75
Age	0.073	17.51	0.078	13.67	0.065	10.98
Age2	-0.762	-15.16	-0.806	-11.6	-0.700	-9.78

Length of service with current employer	0.009	14.32	0.008	9.82	0.010	10.35
Ln Overtime hours	0.014	4.34	0.014	3.49	0.013	2.17
Ln hours	0.541	21.3	0.484	12.71	0.574	17.27
Shift work	-0.010	-0.85	0.013	0.85	-0.042	-2.32
Supervisor	0.110	11.27	0.118	8.71	0.105	7.55
n	9,054		4,992		4,062
R-Square	0.456		0.440		0.482
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.6 (XLS 13KB)

Table 7.7 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016

Table 7.7 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.722	22.33	2.892	16.6	2.758	16.17
Occupation
Managers, directors and senior officials	0.372	17.24	0.330	11.81	0.461	13.29
Professional	0.456	23.33	0.460	17.64	0.483	15.63
Associate professional and technical	0.361	19.13	0.338	14	0.435	13.96
Administrative and secretarial	0.164	8.12	0.125	3.86	0.223	7.51
Skilled trades	0.175	8.91	0.168	7.28	0.018	0.37
Caring, leisure and other service	0.068	2.94	0.016	0.38	0.137	4.27
Sales and customer service	0.014	0.63	-0.002	-0.07	0.070	2.14
Process, plant and machine operatives	0.128	6.36	0.101	4.28	0.195	4.42
Education attained
Third level degree or higher	0.292	15.75	0.282	11.94	0.305	9.33
Third level non-degree	0.145	7.61	0.140	5.74	0.159	4.79
Post leaving certificate	0.077	4.08	0.099	4.21	0.042	1.24
Higher secondary	0.046	2.67	0.037	1.75	0.075	2.29
Male	0.147	15.53
Public sector^*	-0.018	-1.37	-0.096	-4.75	0.070	4.02
Nationality
UK	0.014	0.5	0.023	0.64	-0.001	-0.01
EU excluding IE and UK	-0.146	-9.99	-0.157	-7.9	-0.123	-5.72
Other	-0.110	-4.25	-0.115	-3.45	-0.093	-2.29
Trade union member	0.089	7.8	0.118	7.38	0.041	2.52
Age	0.071	17.54	0.078	13.96	0.062	10.66
Age²	-0.741	-15.15	-0.801	-11.84	-0.659	-9.44
Less than 100 employees	-0.184	-21.03	-0.198	-16.32	-0.159	-12.73
Length of service with current employer	0.008	13.74	0.008	9.69	0.009	9.69
Ln Overtime hours	0.013	4.05	0.013	3.38	0.011	1.79
Ln hours	0.482	19.42	0.434	11.7	0.515	15.75
Shift work	-0.033	-2.85	-0.011	-0.73	-0.062	-3.53
Supervisor	0.105	11	0.117	8.88	0.096	7.07
n	9,054		4,992		4,062
R-Square	0.474		0.463		0.491
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.7 (XLS 12KB)

Table 7.8 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016

Table 7.8 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2016
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.337	18.93	2.555	14.39	2.364	13.82
Occupation
Managers, directors and senior officials	0.366	16.54	0.326	11.36	0.454	12.84
Professional	0.466	23.26	0.481	17.98	0.486	15.4
Associate professional and technical	0.384	19.88	0.363	14.66	0.455	14.33
Administrative and secretarial	0.182	8.8	0.150	4.51	0.235	7.75
Skilled trades	0.165	8.2	0.161	6.78	-0.001	-0.01
Caring, leisure and other service	0.057	2.4	0.008	0.18	0.125	3.84
Sales and customer service	0.016	0.68	-0.001	-0.03	0.071	2.13
Process, plant and machine operatives	0.150	7.29	0.119	4.9	0.259	5.78
Education attained
Third level degree or higher	0.329	17.38	0.324	13.45	0.330	9.93
Third level non-degree	0.164	8.4	0.163	6.54	0.170	5
Post leaving certificate	0.082	4.29	0.107	4.46	0.041	1.2
Higher secondary	0.057	3.23	0.046	2.11	0.087	2.63
Male	0.150	15.48
Public sector^*	-0.017	-1.28	-0.097	-4.69	0.078	4.42
Nationality
UK	0.026	0.91	0.030	0.82	0.019	0.41
EU excluding IE and UK	-0.131	-8.75	-0.141	-6.91	-0.110	-5.04
Other	-0.119	-4.51	-0.132	-3.84	-0.096	-2.32
Trade union member	0.107	9.23	0.151	9.27	0.044	2.69
Age	0.072	17.49	0.078	13.63	0.065	10.99
Age²	-0.758	-15.15	-0.802	-11.56	-0.698	-9.81

Length of service with current employer	0.009	14.12	0.008	9.73	0.009	10.14
Ln Overtime hours	0.014	4.28	0.014	3.46	0.013	2.13
Ln hours	0.537	21.22	0.480	12.63	0.570	17.26
Shift work	-0.012	-0.98	0.012	0.79	-0.044	-2.44
Supervisor	0.109	11.22	0.118	8.69	0.104	7.51
n	9,054		4,992		4,062
R-Square	0.448		0.434		0.471
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.8 (XLS 12KB)

Table 7.9 OLS model estimates on log weekly earnings - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017

Table 7.9 OLS model estimates on log weekly earnings - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.285	22.19	2.352	16.14	2.481	17.05
Occupation
Managers, directors and senior officials	0.429	23.24	0.387	16.35	0.518	17.24
Professional	0.493	29.99	0.473	21.95	0.553	20.94
Associate professional and technical	0.395	24.69	0.354	17.48	0.490	18.41
Administrative and secretarial	0.158	9.27	0.097	3.7	0.243	9.59
Skilled trades	0.189	11.59	0.174	9.12	0.109	2.78
Caring, leisure and other service	0.085	4.39	0.065	1.91	0.153	5.66
Sales and customer service	0.041	2.23	0.030	1.15	0.093	3.4
Process, plant and machine operatives	0.153	8.95	0.116	5.79	0.263	7.01
Education attained
Third level degree or higher	0.346	22.72	0.363	19.22	0.295	10.59
Third level non-degree	0.196	12.13	0.226	11.13	0.134	4.63
Post leaving certificate	0.120	7.67	0.157	8.19	0.037	1.28
Higher secondary	0.095	6.46	0.098	5.58	0.079	2.84
Male	0.142	17.64
Public sector^*	0.021	1.83	-0.039	-2.29	0.089	5.87
Nationality
UK	-0.012	-0.5	-0.018	-0.59	-0.018	-0.48
EU excluding IE and UK	-0.117	-9.73	-0.137	-8.68	-0.082	-4.48
Other	-0.063	-3.04	-0.094	-3.52	-0.005	-0.14
Trade union member	0.108	10.95	0.138	10.16	0.061	4.23
Age	0.062	17.98	0.066	13.94	0.056	11.36
Age²	-0.641	-15.36	-0.666	-11.63	-0.601	-10.03
Less than 100 employees	-0.173	-22.69	-0.181	-17.3	-0.160	-14.4
Length of service with current employer	0.009	17.01	0.008	12	0.009	11.9
Ln Overtime hours	0.008	3.34	0.010	3.38	0.003	0.75
Ln hours	0.640	30.64	0.633	20.86	0.619	21.76
Shift work	-0.048	-4.94	-0.040	-3.16	-0.055	-3.75
Supervisor	0.097	12.03	0.108	9.71	0.090	7.73
n	12,190		6,897		5,293
R-Square	0.508		0.488		0.535
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.9 (XLS 12KB)

Table 7.10 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017

Table 7.10 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	1.991	19.09	2.124	14.33	2.141	14.63
Occupation
Managers, directors and senior officials	0.428	22.7	0.383	15.85	0.523	17.08
Professional	0.501	29.84	0.483	21.96	0.560	20.84
Associate professional and technical	0.414	25.36	0.371	17.98	0.511	18.86
Administrative and secretarial	0.177	10.14	0.131	4.88	0.256	9.88
Skilled trades	0.175	10.57	0.158	8.12	0.115	2.87
Caring, leisure and other service	0.075	3.79	0.058	1.68	0.143	5.19
Sales and customer service	0.044	2.29	0.032	1.18	0.097	3.45
Process, plant and machine operatives	0.177	10.15	0.133	6.5	0.327	8.59
Education attained
Third level degree or higher	0.373	24.05	0.396	20.59	0.307	10.82
Third level non-degree	0.209	12.67	0.245	11.82	0.133	4.5
Post leaving certificate	0.126	7.91	0.165	8.43	0.037	1.26
Higher secondary	0.102	6.85	0.106	5.86	0.082	2.88
Male	0.145	17.64
Public sector^*	0.024	2.05	-0.040	-2.34	0.099	6.4
Nationality
UK	-0.013	-0.55	-0.015	-0.47	-0.027	-0.71
EU excluding IE and UK	-0.104	-8.5	-0.122	-7.59	-0.074	-3.95
Other	-0.051	-2.43	-0.090	-3.31	0.018	0.55
Trade union member	0.122	12.14	0.158	11.46	0.068	4.62
Age	0.061	17.38	0.064	13.19	0.057	11.36
Age²	-0.633	-14.88	-0.640	-10.94	-0.619	-10.13

Length of service with current employer	0.009	17.03	0.008	11.91	0.010	12.03
Ln Overtime hours	0.007	2.99	0.009	2.98	0.003	0.76
Ln hours	0.685	32.29	0.667	21.55	0.672	23.4
Shift work	-0.034	-3.46	-0.024	-1.87	-0.046	-3.07
Supervisor	0.102	12.36	0.110	9.65	0.097	8.17
n	12,190		6,897		5,293
R-Square	0.487		0.465		0.515
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.10 (XLS 12KB)

Table 7.11 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017

Table 7.11 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.309	22.5	2.374	16.33	2.508	17.33
Occupation
Managers, directors and senior officials	0.429	23.29	0.386	16.35	0.518	17.35
Professional	0.489	29.85	0.470	21.86	0.547	20.85
Associate professional and technical	0.393	24.67	0.352	17.44	0.489	18.47
Administrative and secretarial	0.161	9.48	0.100	3.8	0.247	9.78
Skilled trades	0.188	11.6	0.173	9.09	0.111	2.84
Caring, leisure and other service	0.091	4.68	0.068	2.01	0.158	5.89
Sales and customer service	0.040	2.18	0.029	1.12	0.093	3.39
Process, plant and machine operatives	0.153	8.96	0.115	5.77	0.263	7.04
Education attained
Third level degree or higher	0.344	22.62	0.361	19.14	0.291	10.53
Third level non-degree	0.195	12.07	0.224	11.08	0.132	4.6
Post leaving certificate	0.119	7.66	0.156	8.17	0.036	1.27
Higher secondary	0.094	6.42	0.097	5.53	0.078	2.82
Male	0.142	17.63
Public sector^*	-0.014	-1.25	-0.079	-4.66	0.059	3.91
Nationality
UK	-0.013	-0.56	-0.019	-0.61	-0.021	-0.57
EU excluding IE and UK	-0.117	-9.83	-0.138	-8.75	-0.083	-4.55
Other	-0.064	-3.08	-0.095	-3.55	-0.006	-0.17
Trade union member	0.107	10.89	0.137	10.11	0.060	4.19
Age	0.062	17.96	0.066	13.92	0.056	11.35
Age²	-0.638	-15.35	-0.664	-11.61	-0.598	-10.03
Less than 100 employees	-0.174	-22.89	-0.181	-17.39	-0.162	-14.62
Length of service with current employer	0.009	16.74	0.008	11.87	0.009	11.64
Ln Overtime hours	0.008	3.26	0.010	3.32	0.003	0.7
Ln hours	0.637	30.6	0.630	20.81	0.615	21.78
Shift work	-0.049	-5.09	-0.041	-3.26	-0.056	-3.83
Supervisor	0.096	11.94	0.107	9.66	0.089	7.67
n	12,190		6,897		5,293
R-Square	0.502		0.482		0.526
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.11 (XLS 12KB)

Table 7.12 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017

Table 7.12 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2017
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.013	19.36	2.145	14.5	2.165	14.86
Occupation
Managers, directors and senior officials	0.428	22.75	0.382	15.84	0.523	17.17
Professional	0.497	29.7	0.480	21.87	0.555	20.74
Associate professional and technical	0.412	25.34	0.369	17.93	0.510	18.93
Administrative and secretarial	0.180	10.35	0.133	4.99	0.259	10.07
Skilled trades	0.175	10.57	0.157	8.09	0.116	2.92
Caring, leisure and other service	0.080	4.06	0.061	1.77	0.148	5.41
Sales and customer service	0.042	2.24	0.031	1.14	0.096	3.44
Process, plant and machine operatives	0.177	10.17	0.132	6.48	0.326	8.63
Education attained
Third level degree or higher	0.371	23.96	0.394	20.52	0.304	10.76
Third level non-degree	0.208	12.62	0.243	11.76	0.131	4.47
Post leaving certificate	0.126	7.9	0.164	8.4	0.037	1.25
Higher secondary	0.101	6.8	0.105	5.82	0.081	2.86
Male	0.145	17.63
Public sector^*	-0.011	-0.97	-0.081	-4.66	0.069	4.48
Nationality
UK	-0.015	-0.61	-0.016	-0.49	-0.031	-0.81
EU excluding IE and UK	-0.105	-8.59	-0.123	-7.65	-0.075	-4.01
Other	-0.052	-2.46	-0.091	-3.33	0.018	0.53
Trade union member	0.122	12.09	0.157	11.42	0.067	4.59
Age	0.061	17.36	0.063	13.16	0.057	11.35
Age²	-0.631	-14.86	-0.637	-10.92	-0.616	-10.13

Length of service with current employer	0.009	16.76	0.008	11.78	0.009	11.77
Ln Overtime hours	0.007	2.91	0.009	2.92	0.003	0.71
Ln hours	0.682	32.26	0.664	21.5	0.670	23.43
Shift work	-0.035	-3.59	-0.025	-1.95	-0.047	-3.14
Supervisor	0.101	12.27	0.109	9.61	0.096	8.11
n	12,190		6,897		5,293
R-Square	0.480		0.460		0.506
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.12 (XLS 12KB)

Table 7.13 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018

Table 7.13 OLS model estimates on log weekly earnings - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.729	23.14	3.033	18.34	2.542	15.07
Occupation
Managers, directors and senior officials	0.433	20.2	0.416	15.16	0.473	13.63
Professional	0.498	26.3	0.479	19.36	0.551	18.14
Associate professional and technical	0.375	20.1	0.351	14.89	0.441	14.25
Administrative and secretarial	0.148	7.44	0.122	3.93	0.199	6.79
Skilled trades	0.173	9.24	0.171	7.78	0.098	2.19
Caring, leisure and other service	0.079	3.59	-0.037	-1	0.155	5.04
Sales and customer service	0.030	1.41	0.044	1.49	0.051	1.63
Process, plant and machine operatives	0.150	7.81	0.129	5.69	0.199	4.97
Education attained
Third level degree or higher	0.351	19.93	0.342	15.57	0.364	11.55
Third level non-degree	0.197	10.42	0.187	7.78	0.223	6.82
Post leaving certificate	0.158	8.75	0.151	6.79	0.168	5.12
Higher secondary	0.111	6.55	0.091	4.43	0.164	5.19
Male	0.138	15.05
Public sector^*	-0.003	-0.24	-0.068	-3.46	0.065	3.79
Nationality
UK	-0.043	-1.82	-0.013	-0.42	-0.094	-2.65
EU excluding IE and UK	-0.105	-7.91	-0.103	-5.75	-0.104	-5.22
Other	-0.013	-0.57	-0.015	-0.5	-0.011	-0.29
Trade union member	0.102	9.15	0.132	8.59	0.054	3.31
Age	0.051	12.93	0.054	9.99	0.046	8.17
Age²	-0.514	-10.9	-0.537	-8.23	-0.479	-7.12
Less than 100 employees	-0.186	-21.81	-0.205	-17.51	-0.157	-12.66
Length of service with current employer	0.009	15.74	0.009	11.88	0.009	10.22
Ln Overtime hours	0.008	3.62	0.010	3.79	0.002	0.42
Ln hours	0.591	24.98	0.526	15.53	0.659	20.2
Shift work	-0.046	-4.44	-0.036	-2.61	-0.057	-3.67
Supervisor	0.112	12.13	0.131	10.36	0.096	7.28
n	9,692		5,518		4,174
R-Square	0.494		0.472		0.525
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.13 (XLS 12KB)

Table 7.14 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018

Table 7.14 OLS model estimates on log weekly earnings - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.387	19.94	2.779	16.42	2.160	12.78
Occupation
Managers, directors and senior officials	0.438	19.98	0.417	14.8	0.489	13.82
Professional	0.518	26.75	0.506	19.95	0.569	18.41
Associate professional and technical	0.407	21.38	0.384	15.87	0.476	15.14
Administrative and secretarial	0.178	8.78	0.155	4.86	0.227	7.64
Skilled trades	0.164	8.55	0.157	6.97	0.113	2.47
Caring, leisure and other service	0.071	3.13	-0.043	-1.11	0.151	4.83
Sales and customer service	0.036	1.65	0.052	1.7	0.059	1.83
Process, plant and machine operatives	0.183	9.32	0.154	6.61	0.271	6.71
Education attained
Third level degree or higher	0.380	21.11	0.384	17.09	0.366	11.42
Third level non-degree	0.215	11.13	0.213	8.65	0.220	6.62
Post leaving certificate	0.169	9.1	0.167	7.29	0.163	4.87
Higher secondary	0.120	6.96	0.103	4.9	0.161	5
Male	0.142	15.09
Public sector^*	0.001	0.07	-0.073	-3.64	0.078	4.48
Nationality
UK	-0.040	-1.68	-0.010	-0.3	-0.096	-2.65
EU excluding IE and UK	-0.089	-6.54	-0.089	-4.86	-0.088	-4.33
Other	0.009	0.37	-0.001	-0.02	0.018	0.47
Trade union member	0.117	10.22	0.151	9.61	0.064	3.87
Age	0.051	12.84	0.053	9.64	0.048	8.4
Age²	-0.527	-10.91	-0.535	-7.97	-0.508	-7.42

Length of service with current employer	0.010	16.25	0.010	12.35	0.009	10.4
Ln Overtime hours	0.010	4.1	0.012	4.25	0.003	0.66
Ln hours	0.636	26.35	0.549	15.79	0.719	21.84
Shift work	-0.021	-1.99	-0.002	-0.17	-0.044	-2.79
Supervisor	0.119	12.61	0.137	10.51	0.103	7.68
n	9,692		5,518		4,174
R-Square	0.469		0.443		0.506
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.14 (XLS 12KB)

Table 7.15 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018

Table 7.15 OLS model estimates on log weekly earnings minus pension levy - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.753	23.43	3.048	18.48	2.577	15.37
Occupation
Managers, directors and senior officials	0.432	20.23	0.415	15.17	0.472	13.68
Professional	0.493	26.16	0.475	19.27	0.545	18.05
Associate professional and technical	0.372	20.05	0.349	14.84	0.439	14.28
Administrative and secretarial	0.150	7.59	0.125	4.03	0.201	6.92
Skilled trades	0.172	9.22	0.170	7.74	0.098	2.2
Caring, leisure and other service	0.084	3.84	-0.034	-0.91	0.160	5.23
Sales and customer service	0.028	1.35	0.043	1.45	0.050	1.59
Process, plant and machine operatives	0.149	7.8	0.128	5.66	0.198	4.97
Education attained
Third level degree or higher	0.348	19.86	0.341	15.53	0.360	11.5
Third level non-degree	0.195	10.4	0.186	7.76	0.221	6.82
Post leaving certificate	0.158	8.75	0.151	6.79	0.167	5.12
Higher secondary	0.110	6.53	0.090	4.4	0.163	5.19
Male	0.138	15.07
Public sector^*	-0.039	-3.04	-0.109	-5.57	0.033	1.94
Nationality
UK	-0.043	-1.83	-0.013	-0.44	-0.094	-2.67
EU excluding IE and UK	-0.106	-8	-0.103	-5.8	-0.105	-5.3
Other	-0.013	-0.57	-0.016	-0.51	-0.010	-0.27
Trade union member	0.101	9.09	0.131	8.55	0.052	3.26
Age	0.050	12.91	0.054	9.97	0.045	8.14
Age²	-0.511	-10.89	-0.535	-8.22	-0.475	-7.11
Less than 100 employees	-0.187	-22.03	-0.206	-17.63	-0.158	-12.87
Length of service with current employer	0.009	15.51	0.009	11.77	0.009	10.02
Ln Overtime hours	0.008	3.54	0.010	3.75	0.001	0.35
Ln hours	0.588	24.95	0.524	15.53	0.654	20.17
Shift work	-0.047	-4.62	-0.038	-2.72	-0.058	-3.79
Supervisor	0.111	12.06	0.130	10.31	0.095	7.23
n	9,692		5,518		4,174
R-Square	0.487		0.467		0.515
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.15 (XLS 12KB)

Table 7.16 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018

Table 7.16 OLS model estimates on log weekly earnings minus pension levy - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2018
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.408	20.18	2.793	16.54	2.191	13.03
Occupation
Managers, directors and senior officials	0.437	20	0.416	14.8	0.488	13.87
Professional	0.513	26.61	0.503	19.86	0.563	18.32
Associate professional and technical	0.405	21.35	0.382	15.83	0.474	15.18
Administrative and secretarial	0.181	8.93	0.158	4.97	0.230	7.77
Skilled trades	0.163	8.52	0.156	6.93	0.113	2.48
Caring, leisure and other service	0.076	3.37	-0.040	-1.03	0.156	5.01
Sales and customer service	0.034	1.59	0.051	1.66	0.057	1.8
Process, plant and machine operatives	0.182	9.31	0.153	6.59	0.271	6.73
Education attained
Third level degree or higher	0.377	21.05	0.382	17.06	0.363	11.37
Third level non-degree	0.214	11.12	0.212	8.63	0.219	6.61
Post leaving certificate	0.168	9.1	0.166	7.29	0.162	4.87
Higher secondary	0.120	6.93	0.102	4.87	0.160	4.99
Male	0.141	15.11
Public sector^*	-0.035	-2.66	-0.114	-5.69	0.046	2.66
Nationality
UK	-0.040	-1.68	-0.010	-0.31	-0.096	-2.67
EU excluding IE and UK	-0.090	-6.61	-0.089	-4.9	-0.089	-4.4
Other	0.009	0.38	-0.001	-0.03	0.019	0.5
Trade union member	0.116	10.17	0.151	9.57	0.063	3.82
Age	0.051	12.81	0.053	9.62	0.047	8.37
Age²	-0.525	-10.9	-0.532	-7.95	-0.504	-7.4

Length of service with current employer	0.009	16.03	0.010	12.24	0.009	10.2
Ln Overtime hours	0.009	4.03	0.012	4.21	0.002	0.59
Ln hours	0.633	26.32	0.548	15.79	0.714	21.83
Shift work	-0.022	-2.14	-0.004	-0.27	-0.045	-2.89
Supervisor	0.118	12.54	0.136	10.47	0.102	7.63
n	9,692		5,518		4,174
R-Square	0.462		0.437		0.496
* The estimated premium is calculated taking exp(β)-1, where β is the estimated coefficient above

Open in Excel: Econometric Analysis of Public/Private Pay Differential Table 7.16 (XLS 12KB)

Econometric Analysis of the Public-Private Sector Pay Differential 2018

Detailed OLS results

Detailed OLS results

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