Detailed OLS Results Econometric Analysis of the Public-Private Sector Pay Differential 2022

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, 2019

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, 2019
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.641	23.95	2.723	17.33	2.759	17.59
Occupation
Managers, directors and senior officials	0.402	19.25	0.414	15.69	0.385	11.1
Professional	0.527	29.12	0.526	22.81	0.532	17.73
Associate professional and technical	0.38	20.86	0.35	15.46	0.439	14.11
Administrative and secretarial	0.193	10.13	0.208	7.06	0.195	6.78
Skilled trades	0.155	8.5	0.162	7.68	-0.039	-0.87
Caring, leisure and other service	0.048	2.26	-0.039	-1.1	0.086	2.82
Sales and customer service	0.086	4.18	0.088	3.13	0.089	2.78
Process, plant and machine operatives	0.164	8.89	0.153	7.16	0.157	4.01
Education attained
Third level degree or higher	0.335	18.95	0.328	15.25	0.386	11.76
Third level non-degree	0.204	10.78	0.185	7.8	0.277	8.16
Post leaving certificate	0.139	7.72	0.141	6.45	0.166	4.89
Higher secondary	0.085	5.01	0.07	3.45	0.16	4.88
Male	0.154	17.3
Public sector^*	-0.055	-4.35	-0.116	-6.17	-0.002	-0.11
Nationality
UK	-0.054	-2.12	-0.075	-2.33	-0.013	-0.31
EU excluding IE and UK	-0.093	-7	-0.089	-5.1	-0.097	-4.76
Other	-0.075	-3.92	0.007	0.27	-0.176	-6.1
Trade union member	0.044	4.12	0.079	5.42	-0.006	-0.39
Age	0.051	13.69	0.053	10.43	0.047	8.57
Age²	-0.512	-11.26	-0.519	-8.4	-0.478	-7.19
Less than 100 employees	-0.191	-21.11	-0.175	-14.81	-0.216	-15.34
Length of service with current employer	0.008	13.94	0.007	9.69	0.009	10.3
Ln Overtime hours	0.006	2.59	0.007	2.58	0.002	0.42
Ln hours	0.608	27.75	0.613	18.39	0.593	20.71
Supervisor	0.126	14.14	0.122	10.12	0.136	10.39
n	10696		6162		4534
R-Square	0.477		0.45		0.514
* 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 11KB)

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, 2019

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, 2019
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.454	21.87	2.647	16.56	2.438	15.29
Occupation
Managers, directors and senior officials	0.391	18.34	0.397	14.80	0.394	11.07
Professional	0.520	28.19	0.516	22.02	0.542	17.62
Associate professional and technical	0.377	20.27	0.340	14.76	0.456	14.30
Administrative and secretarial	0.187	9.62	0.212	7.06	0.197	6.68
Skilled trades	0.111	5.99	0.115	5.44	-0.061	-1.33
Caring, leisure and other service	0.040	1.86	-0.047	-1.30	0.091	2.91
Sales and customer service	0.094	4.46	0.084	2.95	0.118	3.63
Process, plant and machine operatives	0.167	8.85	0.147	6.74	0.208	5.20
Education attained
Third level degree or higher	0.374	20.85	0.369	16.99	0.412	12.25
Third level non-degree	0.231	11.95	0.214	8.88	0.291	8.34
Post leaving certificate	0.157	8.52	0.162	7.32	0.170	4.86
Higher secondary	0.105	6.07	0.089	4.34	0.174	5.19
Male	0.154	17.00
Public sector^*	0.002	0.19	-0.070	-3.69	0.073	4.35
Nationality
UK	-0.043	-1.66	-0.067	-2.04	0.002	0.05
EU excluding IE and UK	-0.076	-5.64	-0.078	-4.44	-0.071	-3.42
Other	-0.073	-3.72	0.009	0.36	-0.176	-5.93
Trade union member	0.086	7.97	0.123	8.45	0.031	1.92
Age	0.052	13.60	0.054	10.29	0.049	8.71
Age²	-0.523	-11.28	-0.523	-8.33	-0.505	-7.42
Length of service with current employer	0.009	14.87	0.008	10.32	0.010	10.96
Ln Overtime hours	0.008	3.36	0.008	3.09	0.005	1.21
Ln hours	0.623	27.86	0.603	17.79	0.633	21.65
Supervisor	0.126	13.82	0.124	10.13	0.130	9.72
n	10,696		6,162		4,534
R-Square	0.455		0.430		0.489
* 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 11KB)

Table 7.3 OLS model estimates on log weekly earnings minus additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2019

Table 7.3 OLS model estimates on log weekly earnings minus additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2019
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.657	24.15	2.733	17.43	2.782	17.81
Occupation
Managers, directors and senior officials	0.402	19.27	0.413	15.69	0.385	11.13
Professional	0.523	28.97	0.523	22.74	0.526	17.61
Associate professional and technical	0.378	20.82	0.348	15.39	0.438	14.13
Administrative and secretarial	0.196	10.30	0.211	7.19	0.197	6.89
Skilled trades	0.155	8.49	0.162	7.67	-0.039	-0.88
Caring, leisure and other service	0.052	2.47	-0.036	-1.01	0.089	2.94
Sales and customer service	0.084	4.11	0.086	3.07	0.087	2.74
Process, plant and machine operatives	0.163	8.86	0.152	7.13	0.156	4.01
Education attained
Third level degree or higher	0.332	18.85	0.326	15.20	0.382	11.69
Third level non-degree	0.203	10.75	0.184	7.77	0.275	8.14
Post leaving certificate	0.138	7.68	0.140	6.42	0.165	4.86
Higher secondary	0.084	4.95	0.069	3.41	0.158	4.84
Male	0.154	17.37
Public sector^*	-0.081	-6.45	-0.145	-7.71	-0.026	-1.50
Nationality
UK	-0.054	-2.13	-0.075	-2.36	-0.012	-0.28
EU excluding IE and UK	-0.094	-7.09	-0.090	-5.17	-0.097	-4.81
Other	-0.074	-3.88	0.008	0.31	-0.175	-6.09
Trade union member	0.043	3.97	0.078	5.37	-0.009	-0.54
Age	0.051	13.67	0.053	10.41	0.047	8.56
Age²	-0.510	-11.25	-0.517	-8.39	-0.476	-7.20
Less than 100 employees	-0.192	-21.26	-0.175	-14.86	-0.218	-15.52
Length of service with current employer	0.008	13.69	0.007	9.59	0.009	10.03
Ln Overtime hours	0.006	2.64	0.007	2.59	0.002	0.49
Ln hours	0.607	27.76	0.613	18.42	0.590	20.69
Supervisor	0.125	14.02	0.121	10.03	0.134	10.31
n	10,696		6,162		4,534
R-Square	0.472		0.446		0.507
* 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 11KB)

Table 7.4 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2019

Table 7.4 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2019
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.468	22.05	2.657	16.66	2.459	15.48
Occupation
Managers, directors and senior officials	0.390	18.35	0.396	14.79	0.393	11.10
Professional	0.516	28.04	0.514	21.94	0.537	17.50
Associate professional and technical	0.375	20.22	0.338	14.70	0.455	14.31
Administrative and secretarial	0.190	9.79	0.215	7.18	0.199	6.78
Skilled trades	0.110	5.96	0.115	5.42	-0.062	-1.35
Caring, leisure and other service	0.044	2.06	-0.043	-1.21	0.094	3.03
Sales and customer service	0.092	4.39	0.083	2.89	0.117	3.59
Process, plant and machine operatives	0.166	8.82	0.146	6.71	0.207	5.20
Education attained
Third level degree or higher	0.371	20.76	0.367	16.94	0.408	12.18
Third level non-degree	0.229	11.92	0.213	8.86	0.289	8.32
Post leaving certificate	0.156	8.49	0.161	7.29	0.168	4.84
Higher secondary	0.104	6.02	0.088	4.30	0.172	5.16
Male	0.154	17.05
Public sector^*	-0.023	-1.88	-0.098	-5.22	0.050	2.98
Nationality
UK	-0.043	-1.67	-0.067	-2.06	0.003	0.08
EU excluding IE and UK	-0.077	-5.72	-0.079	-4.50	-0.072	-3.46
Other	-0.072	-3.68	0.010	0.40	-0.175	-5.91
Trade union member	0.085	7.85	0.122	8.40	0.029	1.80
Age	0.052	13.58	0.053	10.26	0.049	8.71
Age²	-0.522	-11.28	-0.522	-8.32	-0.503	-7.42
Length of service with current employer	0.008	14.62	0.008	10.23	0.009	10.69
Ln Overtime hours	0.008	3.42	0.008	3.11	0.006	1.29
Ln hours	0.622	27.87	0.603	17.82	0.630	21.64
Supervisor	0.124	13.69	0.123	10.04	0.129	9.64
n	10,696		6,162		4,534
R-Square	0.450		0.426		0.480
* 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 11KB)

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, 2020

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, 2020
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.185	18.81	2.788	16.92	1.749	10.72
Occupation
Managers, directors and senior officials	0.412	18.25	0.399	13.73	0.466	12.66
Professional	0.549	28.20	0.517	20.47	0.631	19.87
Associate professional and technical	0.408	20.99	0.356	14.58	0.531	16.13
Administrative and secretarial	0.184	9.04	0.133	4.15	0.279	9.04
Skilled trades	0.203	10.17	0.178	7.70	0.111	2.16
Caring, leisure and other service	0.075	3.28	-0.008	-0.20	0.189	5.78
Sales and customer service	0.052	2.34	0.037	1.24	0.125	3.64
Process, plant and machine operatives	0.146	7.23	0.107	4.52	0.246	5.72
Education attained
Third level degree or higher	0.311	16.81	0.335	14.58	0.245	7.36
Third level non-degree	0.178	9.01	0.205	8.21	0.108	3.12
Post leaving certificate	0.106	5.59	0.140	6.03	0.024	0.68
Higher secondary	0.077	4.31	0.092	4.23	0.039	1.15
Male	0.148	15.69
Public sector^*	-0.045	-3.41	-0.095	-4.71	0.005	0.29
Nationality
UK	-0.053	-1.94	0.010	0.28	-0.173	-4.01
EU excluding IE and UK	-0.100	-7.10	-0.078	-4.13	-0.140	-6.61
Other	-0.116	-5.90	-0.110	-4.14	-0.117	-4.02
Trade union member	0.039	3.48	0.061	3.90	0.001	0.09
Age	0.060	15.22	0.061	11.09	0.061	10.69
Age²	-0.613	-12.84	-0.594	-9.04	-0.641	-9.40
Less than 100 employees	-0.236	-24.88	-0.228	-18.08	-0.245	-17.09
Length of service with current employer	0.007	11.74	0.006	7.64	0.008	9.65
Ln Overtime hours	0.008	3.05	0.009	2.77	0.008	1.77
Ln hours	0.696	29.49	0.564	16.41	0.819	25.66
Supervisor	0.098	10.54	0.091	7.13	0.110	8.28
n	9,573		5,469		4,104
R-Square	0.495		0.453		0.553
* 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 11KB)

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, 2020

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, 2020
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	1.959	16.39	2.652	15.64	1.433	8.54
Occupation
Managers, directors and senior officials	0.388	16.65	0.386	12.90	0.421	11.10
Professional	0.540	26.87	0.516	19.86	0.606	18.48
Associate professional and technical	0.403	20.09	0.357	14.18	0.514	15.10
Administrative and secretarial	0.169	8.01	0.142	4.31	0.242	7.60
Skilled trades	0.142	6.98	0.123	5.19	0.070	1.31
Caring, leisure and other service	0.062	2.61	-0.013	-0.32	0.161	4.76
Sales and customer service	0.046	2.01	0.045	1.46	0.097	2.71
Process, plant and machine operatives	0.135	6.46	0.095	3.88	0.260	5.86
Education attained
Third level degree or higher	0.349	18.35	0.371	15.73	0.280	8.13
Third level non-degree	0.207	10.17	0.233	9.05	0.134	3.71
Post leaving certificate	0.117	5.98	0.151	6.30	0.032	0.90
Higher secondary	0.089	4.78	0.102	4.57	0.048	1.36
Male	0.156	16.06
Public sector^*	0.032	2.43	-0.030	-1.49	0.098	5.55
Nationality
UK	-0.049	-1.75	0.017	0.47	-0.176	-3.92
EU excluding IE and UK	-0.082	-5.66	-0.063	-3.24	-0.119	-5.44
Other	-0.093	-4.59	-0.091	-3.35	-0.090	-2.99
Trade union member	0.087	7.62	0.114	7.27	0.041	2.54
Age	0.061	14.84	0.061	10.75	0.062	10.54
Age²	-0.623	-12.64	-0.599	-8.85	-0.660	-9.35
Length of service with current employer	0.008	12.60	0.007	8.26	0.009	10.20
Ln Overtime hours	0.010	3.87	0.011	3.33	0.013	2.59
Ln hours	0.718	29.51	0.567	16.02	0.864	26.25
Supervisor	0.099	10.37	0.092	7.00	0.111	8.07
n	9,573		5,469		4,104
R-Square	0.463		0.420		0.521
* 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 11KB)

Table 7.7 OLS model estimates on log weekly earnings minus additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2020

Table 7.7 OLS model estimates on log weekly earnings minus additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2020
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.205	19.03	2.802	17.02	1.781	10.95
Occupation
Managers, directors and senior officials	0.412	18.28	0.398	13.72	0.467	12.75
Professional	0.546	28.11	0.515	20.44	0.627	19.81
Associate professional and technical	0.406	20.93	0.354	14.49	0.531	16.19
Administrative and secretarial	0.188	9.22	0.137	4.27	0.283	9.19
Skilled trades	0.203	10.20	0.178	7.69	0.113	2.20
Caring, leisure and other service	0.079	3.44	-0.005	-0.12	0.193	5.91
Sales and customer service	0.051	2.30	0.035	1.19	0.125	3.65
Process, plant and machine operatives	0.146	7.23	0.106	4.50	0.247	5.76
Education attained
Third level degree or higher	0.308	16.71	0.333	14.50	0.241	7.26
Third level non-degree	0.176	8.94	0.204	8.17	0.105	3.04
Post leaving certificate	0.105	5.55	0.139	6.01	0.022	0.63
Higher secondary	0.076	4.25	0.091	4.19	0.037	1.10
Male	0.148	15.74
Public sector^*	-0.068	-5.13	-0.120	-5.97	-0.015	-0.84
Nationality
UK	-0.054	-1.97	0.009	0.26	-0.174	-4.04
EU excluding IE and UK	-0.101	-7.16	-0.079	-4.18	-0.140	-6.64
Other	-0.115	-5.87	-0.110	-4.15	-0.114	-3.94
Trade union member	0.038	3.37	0.059	3.80	0.001	0.05
Age	0.060	15.17	0.060	11.07	0.060	10.64
Age²	-0.610	-12.80	-0.593	-9.03	-0.636	-9.36
Less than 100 employees	-0.237	-25.07	-0.229	-18.17	-0.247	-17.27
Length of service with current employer	0.007	11.39	0.006	7.45	0.008	9.33
Ln Overtime hours	0.008	3.03	0.009	2.78	0.008	1.74
Ln hours	0.694	29.47	0.563	16.40	0.816	25.64
Supervisor	0.097	10.46	0.090	7.07	0.109	8.22
n	9,573		5,469		4,104
R-Square	0.491		0.449		0.547
* 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 11KB)

Table 7.8 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2020

Table 7.8 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2020
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	1.977	16.58	2.665	15.74	1.462	8.74
Occupation
Managers, directors and senior officials	0.387	16.66	0.385	12.89	0.422	11.16
Professional	0.537	26.77	0.514	19.81	0.602	18.40
Associate professional and technical	0.401	20.02	0.354	14.09	0.514	15.15
Administrative and secretarial	0.172	8.18	0.146	4.43	0.246	7.74
Skilled trades	0.142	6.98	0.122	5.17	0.071	1.34
Caring, leisure and other service	0.065	2.76	-0.010	-0.24	0.164	4.88
Sales and customer service	0.045	1.96	0.043	1.41	0.097	2.72
Process, plant and machine operatives	0.134	6.45	0.094	3.85	0.261	5.90
Education attained
Third level degree or higher	0.346	18.25	0.369	15.66	0.276	8.05
Third level non-degree	0.205	10.10	0.231	9.01	0.131	3.64
Post leaving certificate	0.116	5.94	0.150	6.28	0.030	0.85
Higher secondary	0.087	4.73	0.101	4.53	0.046	1.32
Male	0.156	16.10
Public sector^*	0.010	0.76	-0.055	-2.71	0.078	4.46
Nationality
UK	-0.050	-1.77	0.016	0.45	-0.176	-3.94
EU excluding IE and UK	-0.083	-5.71	-0.063	-3.28	-0.119	-5.46
Other	-0.092	-4.54	-0.091	-3.35	-0.087	-2.91
Trade union member	0.086	7.54	0.112	7.18	0.041	2.52
Age	0.060	14.79	0.060	10.74	0.061	10.48
Age²	-0.620	-12.60	-0.597	-8.83	-0.655	-9.31
Length of service with current employer	0.007	12.27	0.007	8.08	0.009	9.89
Ln Overtime hours	0.010	3.85	0.011	3.34	0.012	2.56
Ln hours	0.716	29.49	0.566	16.01	0.861	26.23
Supervisor	0.098	10.28	0.091	6.93	0.110	8.01
n	9,573		5,469		4,104
R-Square	0.457		0.416		0.514
* 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 11KB)

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, 2021

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, 2021
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.810	22.14	2.761	15.48	3.039	16.74
Occupation
Managers, directors and senior officials	0.422	17.40	0.413	13.50	0.477	11.59
Professional	0.488	22.88	0.479	17.73	0.546	14.96
Associate professional and technical	0.372	17.53	0.344	13.00	0.465	12.53
Administrative and secretarial	0.169	7.59	0.115	3.51	0.262	7.31
Skilled trades	0.193	8.60	0.169	6.54	0.127	2.19
Caring, leisure and other service	0.058	2.33	-0.029	-0.70	0.167	4.41
Sales and customer service	-0.013	-0.53	0.002	0.06	0.031	0.79
Process, plant and machine operatives	0.125	5.54	0.086	3.27	0.256	5.38
Education attained
Third level degree or higher	0.345	16.75	0.354	14.32	0.303	7.25
Third level non-degree	0.190	8.73	0.202	7.57	0.149	3.48
Post leaving certificate	0.103	4.86	0.143	5.61	0.012	0.27
Higher secondary	0.107	5.26	0.119	4.98	0.068	1.62
Male	0.146	15.15
Public sector^*	-0.067	-4.88	-0.128	-6.31	0.002	0.10
Nationality
UK	0.033	1.01	0.024	0.57	0.066	1.29
EU excluding IE and UK	-0.087	-5.84	-0.106	-5.34	-0.056	-2.53
Other	-0.027	-1.31	-0.040	-1.44	-0.007	-0.23
Trade union member	0.047	4.01	0.086	5.37	-0.012	-0.69
Age	0.056	13.52	0.066	11.70	0.043	7.30
Age²	-0.563	-11.41	-0.670	-9.92	-0.441	-6.16
Less than 100 employees	-0.189	-18.96	-0.180	-13.62	-0.199	-13.05
Length of service with current employer	0.007	11.04	0.006	6.88	0.008	9.02
Ln Overtime hours	0.020	12.24	0.020	9.11	0.020	8.27
Ln hours	0.560	21.57	0.552	14.65	0.562	15.89
Supervisor	0.086	8.86	0.089	6.72	0.087	6.22
n	8,477		4,865		3,612
R-Square	0.474		0.448		0.507
* 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 11KB)

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, 2021

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, 2021
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.643	20.45	2.681	14.76	2.780	15.05
Occupation
Managers, directors and senior officials	0.418	16.88	0.405	13.02	0.487	11.56
Professional	0.494	22.71	0.486	17.67	0.560	14.99
Associate professional and technical	0.383	17.68	0.353	13.10	0.487	12.84
Administrative and secretarial	0.177	7.80	0.134	4.00	0.273	7.45
Skilled trades	0.156	6.84	0.130	4.96	0.123	2.07
Caring, leisure and other service	0.060	2.33	-0.018	-0.43	0.174	4.47
Sales and customer service	0.001	0.03	0.017	0.50	0.051	1.25
Process, plant and machine operatives	0.135	5.86	0.086	3.20	0.317	6.53
Education attained
Third level degree or higher	0.366	17.45	0.376	14.95	0.309	7.22
Third level non-degree	0.197	8.86	0.206	7.60	0.145	3.30
Post leaving certificate	0.109	5.00	0.149	5.77	0.002	0.05
Higher secondary	0.116	5.58	0.128	5.27	0.065	1.51
Male	0.154	15.66
Public sector^*	-0.007	-0.48	-0.081	-3.97	0.078	4.23
Nationality
UK	0.025	0.76	0.021	0.51	0.051	0.97
EU excluding IE and UK	-0.074	-4.87	-0.086	-4.26	-0.056	-2.46
Other	0.000	-0.01	-0.012	-0.42	0.015	0.46
Trade union member	0.084	7.10	0.129	8.04	0.017	0.98
Age	0.056	13.36	0.066	11.46	0.045	7.36
Age²	-0.573	-11.37	-0.673	-9.78	-0.461	-6.30
Length of service with current employer	0.007	11.96	0.006	7.62	0.009	9.56
Ln Overtime hours	0.023	13.66	0.023	10.17	0.023	9.27
Ln hours	0.570	21.53	0.546	14.21	0.594	16.44
Supervisor	0.081	8.21	0.082	6.09	0.084	5.81
n	8,477		4,865		3,612
R-Square	0.452		0.427		0.484
* 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 11KB)

Table 7.11 OLS model estimates on log weekly earnings minus additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2021

Table 7.11 OLS model estimates on log weekly earnings minus additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2021
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.831	22.37	2.778	15.60	3.067	16.97
Occupation
Managers, directors and senior officials	0.422	17.43	0.412	13.51	0.477	11.64
Professional	0.485	22.80	0.477	17.70	0.542	14.90
Associate professional and technical	0.371	17.50	0.342	12.96	0.464	12.55
Administrative and secretarial	0.172	7.73	0.118	3.59	0.265	7.41
Skilled trades	0.192	8.59	0.168	6.52	0.126	2.19
Caring, leisure and other service	0.062	2.50	-0.023	-0.55	0.170	4.50
Sales and customer service	-0.015	-0.61	0.000	0.01	0.029	0.74
Process, plant and machine operatives	0.124	5.54	0.085	3.25	0.256	5.39
Education attained
Third level degree or higher	0.341	16.62	0.351	14.22	0.297	7.15
Third level non-degree	0.188	8.66	0.200	7.52	0.146	3.42
Post leaving certificate	0.103	4.84	0.143	5.62	0.010	0.23
Higher secondary	0.105	5.19	0.118	4.95	0.065	1.56
Male	0.146	15.20
Public sector^*	-0.090	-6.60	-0.154	-7.59	-0.019	-1.00
Nationality
UK	0.033	1.03	0.024	0.59	0.066	1.30
EU excluding IE and UK	-0.087	-5.90	-0.107	-5.38	-0.057	-2.57
Other	-0.027	-1.31	-0.042	-1.49	-0.005	-0.17
Trade union member	0.046	3.91	0.085	5.28	-0.013	-0.74
Age	0.055	13.49	0.066	11.68	0.043	7.27
Age²	-0.561	-11.39	-0.668	-9.91	-0.438	-6.14
Less than 100 employees	-0.190	-19.10	-0.181	-13.69	-0.200	-13.19
Length of service with current employer	0.006	10.61	0.005	6.63	0.008	8.65
Ln Overtime hours	0.020	12.25	0.020	9.13	0.020	8.26
Ln hours	0.558	21.55	0.551	14.62	0.560	15.89
Supervisor	0.085	8.84	0.089	6.70	0.087	6.21
n	8,477		4,865		3,612
R-Square	0.470		0.444		0.500
* 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 11KB)

Table 7.12 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2021

Table 7.12 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2021
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.663	20.65	2.697	14.87	2.806	15.26
Occupation
Managers, directors and senior officials	0.418	16.90	0.405	13.02	0.487	11.61
Professional	0.491	22.63	0.485	17.64	0.555	14.93
Associate professional and technical	0.382	17.65	0.351	13.06	0.486	12.86
Administrative and secretarial	0.180	7.94	0.137	4.08	0.276	7.55
Skilled trades	0.155	6.81	0.129	4.93	0.122	2.08
Caring, leisure and other service	0.064	2.50	-0.012	-0.28	0.176	4.56
Sales and customer service	-0.001	-0.04	0.015	0.46	0.049	1.20
Process, plant and machine operatives	0.134	5.85	0.085	3.19	0.317	6.55
Education attained
Third level degree or higher	0.363	17.32	0.373	14.85	0.303	7.12
Third level non-degree	0.195	8.78	0.205	7.55	0.142	3.25
Post leaving certificate	0.108	4.98	0.149	5.77	0.000	0.01
Higher secondary	0.114	5.52	0.127	5.23	0.062	1.45
Male	0.154	15.72
Public sector^*	-0.029	-2.17	-0.106	-5.23	0.057	3.14
Nationality
UK	0.025	0.77	0.022	0.53	0.050	0.97
EU excluding IE and UK	-0.074	-4.92	-0.086	-4.29	-0.057	-2.50
Other	0.000	0.00	-0.013	-0.46	0.017	0.53
Trade union member	0.083	7.03	0.127	7.96	0.017	0.95
Age	0.056	13.33	0.066	11.44	0.044	7.32
Age²	-0.571	-11.35	-0.671	-9.76	-0.458	-6.28
Length of service with current employer	0.007	11.54	0.006	7.38	0.008	9.20
Ln Overtime hours	0.023	13.68	0.023	10.19	0.023	9.26
Ln hours	0.568	21.50	0.544	14.19	0.592	16.44
Supervisor	0.081	8.19	0.082	6.07	0.083	5.80
n	8477.000		4865.000		3612.000
R-Square	0		0		0
* 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 11KB)

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, 2022

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, 2022
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	3.035	24.54	3.261	19.26	3.080	16.92
Occupation
Managers, directors and senior officials	0.414	18.42	0.402	13.99	0.441	11.96
Professional	0.495	24.49	0.507	19.63	0.490	14.66
Associate professional and technical	0.348	17.33	0.352	13.93	0.356	10.57
Administrative and secretarial	0.147	6.96	0.083	2.58	0.190	5.86
Skilled trades	0.188	9.14	0.196	8.14	0.017	0.35
Caring, leisure and other service	0.038	1.62	-0.021	-0.58	0.085	2.48
Sales and customer service	0.050	2.04	0.064	1.83	0.058	1.57
Process, plant and machine operatives	0.156	7.59	0.141	5.80	0.207	4.98
Education attained
Third level degree or higher	0.351	17.94	0.355	14.73	0.347	9.90
Third level non-degree	0.201	9.92	0.196	7.76	0.207	5.76
Post leaving certificate	0.116	5.80	0.131	5.34	0.081	2.23
Higher secondary	0.082	4.32	0.084	3.68	0.075	2.12
Male	0.154	16.73
Public sector^*	-0.045	-3.50	-0.091	-4.64	-0.002	-0.12
Nationality
UK	-0.019	-0.61	-0.006	-0.16	-0.032	-0.67
EU excluding IE and UK	-0.109	-7.89	-0.093	-5.01	-0.126	-5.99
Other	-0.035	-1.97	-0.096	-4.07	0.071	2.66
Trade union member	0.028	2.47	0.059	3.81	-0.013	-0.79
Age	0.054	13.55	0.058	10.66	0.048	8.34
Age²	-0.541	-11.34	-0.577	-8.86	-0.491	-7.09
Less than 100 employees	-0.190	-19.95	-0.184	-14.71	-0.196	-13.36
Length of service with current employer	0.007	11.26	0.006	7.25	0.008	9.15
Ln Overtime hours	0.015	9.40	0.017	7.91	0.013	5.43
Ln hours	0.522	20.36	0.475	13.25	0.545	14.87
Supervisor	0.092	9.89	0.099	7.82	0.085	6.25
n	9,396		5,348		4,048
R-Square	0.464		0.442		0.487
* 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 11KB)

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, 2022

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, 2022
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.869	22.78	3.170	18.37	2.823	15.26
Occupation
Managers, directors and senior officials	0.404	17.59	0.389	13.27	0.439	11.64
Professional	0.488	23.66	0.499	18.95	0.490	14.35
Associate professional and technical	0.345	16.85	0.344	13.35	0.363	10.57
Administrative and secretarial	0.141	6.52	0.087	2.65	0.183	5.51
Skilled trades	0.143	6.84	0.151	6.18	-0.024	-0.48
Caring, leisure and other service	0.022	0.93	-0.019	-0.53	0.066	1.87
Sales and customer service	0.043	1.69	0.058	1.62	0.052	1.38
Process, plant and machine operatives	0.149	7.12	0.127	5.12	0.239	5.65
Education attained
Third level degree or higher	0.383	19.26	0.387	15.85	0.378	10.58
Third level non-degree	0.225	10.86	0.219	8.54	0.230	6.27
Post leaving certificate	0.135	6.58	0.149	5.97	0.099	2.68
Higher secondary	0.101	5.21	0.098	4.20	0.103	2.88
Male	0.156	16.58
Public sector^*	0.009	0.66	-0.046	-2.32	0.065	3.77
Nationality
UK	-0.021	-0.68	-0.012	-0.29	-0.031	-0.63
EU excluding IE and UK	-0.093	-6.56	-0.076	-4.01	-0.114	-5.29
Other	-0.017	-0.95	-0.081	-3.35	0.087	3.22
Trade union member	0.066	5.81	0.104	6.78	0.014	0.80
Age	0.054	13.29	0.058	10.42	0.049	8.29
Age²	-0.546	-11.21	-0.580	-8.72	-0.504	-7.12
Length of service with current employer	0.007	11.76	0.006	7.72	0.009	9.35
Ln Overtime hours	0.017	10.00	0.018	8.33	0.015	5.93
Ln hours	0.539	20.57	0.474	12.95	0.581	15.55
Supervisor	0.091	9.60	0.100	7.72	0.081	5.83
n	9396.000		5348.000		4048.000
R-Square	0.441		0.420		0.465
* 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 additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2022

Table 7.15 OLS model estimates on log weekly earnings minus additional superannuation contribution - including size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2022
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	3.051	24.72	3.271	19.33	3.107	17.13
Occupation
Managers, directors and senior officials	0.414	18.43	0.401	13.99	0.441	12.00
Professional	0.492	24.39	0.505	19.57	0.486	14.61
Associate professional and technical	0.346	17.29	0.350	13.86	0.355	10.60
Administrative and secretarial	0.150	7.10	0.084	2.64	0.194	6.00
Skilled trades	0.188	9.13	0.195	8.12	0.017	0.35
Caring, leisure and other service	0.042	1.82	-0.017	-0.48	0.091	2.64
Sales and customer service	0.049	1.99	0.063	1.80	0.057	1.55
Process, plant and machine operatives	0.156	7.60	0.140	5.79	0.207	5.01
Education attained
Third level degree or higher	0.348	17.82	0.352	14.64	0.344	9.84
Third level non-degree	0.200	9.86	0.194	7.70	0.206	5.74
Post leaving certificate	0.116	5.77	0.131	5.32	0.080	2.20
Higher secondary	0.081	4.27	0.083	3.64	0.073	2.09
Male	0.154	16.77
Public sector^*	-0.068	-5.23	-0.116	-5.94	-0.022	-1.24
Nationality
UK	-0.019	-0.63	-0.007	-0.18	-0.032	-0.68
EU excluding IE and UK	-0.110	-7.96	-0.094	-5.06	-0.126	-6.03
Other	-0.034	-1.95	-0.096	-4.07	0.072	2.71
Trade union member	0.026	2.34	0.058	3.74	-0.015	-0.91
Age	0.053	13.51	0.058	10.65	0.047	8.29
Age²	-0.538	-11.30	-0.576	-8.84	-0.487	-7.05
Less than 100 employees	-0.190	-20.05	-0.185	-14.77	-0.197	-13.45
Length of service with current employer	0.006	10.76	0.006	7.01	0.008	8.68
Ln Overtime hours	0.015	9.37	0.017	7.89	0.013	5.42
Ln hours	0.521	20.36	0.475	13.25	0.543	14.85
Supervisor	0.092	9.85	0.099	7.78	0.085	6.24
n	9,396		5,348		4,048
R-Square	0.459		0.438		0.480
* 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 11KB)

Table 7.16 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2022

Table 7.16 OLS model estimates on log weekly earnings minus additional superannuation contribution - excluding size of enterprise as an explanatory variable Permanent Full-time employees aged 25-59, 2022
	Males & Females		Males		Females
Parameter	Estimate	t Value	Estimate	t Value	Estimate	t Value
Intercept	2.884	22.94	3.179	18.44	2.849	15.46
Occupation
Managers, directors and senior officials	0.403	17.60	0.388	13.26	0.439	11.67
Professional	0.485	23.56	0.497	18.89	0.486	14.29
Associate professional and technical	0.343	16.80	0.342	13.28	0.363	10.60
Administrative and secretarial	0.144	6.66	0.088	2.71	0.186	5.64
Skilled trades	0.142	6.82	0.150	6.15	-0.024	-0.49
Caring, leisure and other service	0.027	1.13	-0.016	-0.43	0.071	2.02
Sales and customer service	0.041	1.64	0.057	1.59	0.051	1.36
Process, plant and machine operatives	0.149	7.13	0.126	5.11	0.240	5.68
Education attained
Third level degree or higher	0.380	19.15	0.385	15.77	0.375	10.52
Third level non-degree	0.223	10.80	0.218	8.48	0.229	6.25
Post leaving certificate	0.134	6.55	0.149	5.95	0.098	2.66
Higher secondary	0.100	5.17	0.097	4.17	0.102	2.85
Male	0.156	16.63
Public sector^*	-0.014	-1.06	-0.071	-3.60	0.046	2.65
Nationality
UK	-0.022	-0.70	-0.012	-0.31	-0.031	-0.64
EU excluding IE and UK	-0.093	-6.62	-0.076	-4.06	-0.114	-5.32
Other	-0.017	-0.93	-0.081	-3.35	0.088	3.27
Trade union member	0.065	5.69	0.103	6.72	0.012	0.69
Age	0.053	13.24	0.057	10.40	0.048	8.24
Age²	-0.544	-11.18	-0.578	-8.70	-0.500	-7.08
Length of service with current employer	0.007	11.27	0.006	7.48	0.008	8.88
Ln Overtime hours	0.017	9.97	0.018	8.31	0.015	5.91
Ln hours	0.538	20.57	0.473	12.95	0.579	15.53
Supervisor	0.091	9.56	0.099	7.67	0.081	5.82
n	9,396		5,348		4,048
R-Square	0.436		0.415		0.457
* 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 11KB)

Econometric Analysis of the Public-Private Sector Pay Differential 2022

Detailed OLS Results

Detailed OLS Results

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