Using state level employment thresholds to explain Okun’s Law

Herzog, Ryan W

doi:10.1186/2193-9004-2-17

Table 9 Double threshold model with regression dummy variables

From: Using state level employment thresholds to explain Okun’s Law

Industry	Regime	U ^∗	β	D _t-1	D _t-2	D _t-3	D _t-4	D _t-5	D _t-6	D _t-7	D _t-8
Baseline		0.0502	-0.3305	0.0057	0.0049	0.0043	0.0063	0.0064	0.0061	0.0053	0.0043
	q_it≤ 7.311	0.0533	-0.3848	0.0037	0.0035	0.0033	0.0064	0.0064	0.0062	0.006	0.0053
Gov’t	7.311 < q_it≤ 8.811	0.0504	-0.339	0.0072	0.0059	0.0052	0.0057	0.0059	0.0063	0.0043	0.0033
	q_it> 8.811	0.0446	-0.1691	0.0047	0.0045	0.0039	0.0053	0.0054	0.0051	0.0044	0.0028
	q_it≤ 1.896	0.0583	-0.1789	0.0031	0.0041	0.0051	0.0105	0.0102	0.011	0.0081	0.0065
Financial	1.896 < q_it≤ 2.675	0.0513	-0.3227	0.0079	0.0065	0.0056	0.0057	0.0062	0.0058	0.0055	0.0042
	q_it> 2.675	0.0473	-0.4458	0.0023	0.0014	0.0007	0.0025	0.003	0.0022	0.0021	0.0018
	q_it≤ 4.856	0.0505	-0.2749	0.0066	0.0052	0.005	0.0069	0.0075	0.0072	0.0061	0.005
Services	4.856 < q_it≤ 6.120	0.052	-0.3529	0.0068	0.006	0.0047	0.0048	0.0044	0.004	0.0036	0.0027
	q_it> 6.120	0.0466	-0.4481	0.0043	0.0036	0.0034	0.0024	0.0007	0.0005	0.0002	-0.0007
	q_it≤ 1.639	0.0633	-0.4444	0.0032	0.0054	0.0049	0.0063	0.007	0.0087	0.0072	0.0068
Const.	1.639 < q_it≤ 1.896	0.0547	-0.3378	0.0085	0.0047	0.0042	0.003	0.0031	0.002	0.001	-0.0002
	q_it> 1.896	0.0479	-0.2712	0.0055	0.0043	0.003	0.0041	0.0043	0.0041	0.0038	0.0026
	q_it≤ 0.109	0.0534	-0.4931	0.0022	0.0014	0.0007	0.0027	0.0022	0.0031	0.0029	0.0024
Natural	0.109 < q_it≤ 0.606	0.049	-0.2985	0.0061	0.0054	0.0049	0.0068	0.0071	0.0066	0.0059	0.0046
	q_it> 0.606	0.049	-0.2243	0.0044	0.0037	0.003	0.0066	0.0069	0.0068	0.0057	0.0046
	q_it≤ 3.551	0.0516	-0.2605	0.0059	0.0053	0.0047	0.0058	0.0056	0.0052	0.0037	0.002
Manuf.	3.551 < q_it≤ 4.921	0.0541	-0.3312	0.0057	0.0053	0.005	0.0062	0.0056	0.0047	0.0035	0.0033
	q_it> 4.921	0.0493	-0.3935	0.0016	0.0006	-0.0004	0.004	0.0046	0.0047	0.005	0.0045
	q_it≤ 5.148	0.0532	-0.3447	0.0056	0.0051	0.0043	0.0069	0.0077	0.0074	0.0062	0.0052
Education	5.148 < q_it≤ 5.509	0.0487	-0.2433	0.0097	0.0076	0.0054	0.0048	0.0053	0.0058	0.0056	0.0038
	q_it> 5.509	0.0483	-0.3704	0.0044	0.0035	0.0028	0.0042	0.0037	0.0037	0.0034	0.0025
	q_it≤ 4.080	0.0539	-0.3393	0.0065	0.0062	0.0062	0.008	0.0082	0.0078	0.0068	0.0059
Leisure	4.080 < q_it≤ 5.326	0.0484	-0.4138	0.0034	0.0024	0.0015	0.002	0.0023	0.0021	0.0018	0.0012
	q_it> 5.326	0.045	-0.2561	0.0032	0.0018	0.0001	-0.0007	-0.0005	-0.0004	-0.0016	-0.0028
	q_it≤ 8.105	0.0594	-0.3223	0.0068	0.0065	0.0061	0.0072	0.0071	0.0068	0.0053	0.0037
Trade	8.105 < q_it≤ 8.571	0.0569	-0.2743	0.0031	0.0026	0.0031	0.0044	0.0042	0.0036	0.003	0.0025
	q_it> 8.571	0.0469	-0.307	0.0042	0.0036	0.0022	0.0042	0.0048	0.0048	0.0042	0.0035

White standard errors are used.
U ^* & β are significant at the 1% level.

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