Table 4. Long-run ARDL estimates... | Emerald Publishing

Table 4.

Long-run ARDL estimates

Variable	Coefficient	Standard error	T-statistic	Probability*
NMR(−1)	0.396488	0.187354	2.116255	0.0504
LOGIM	–314.7153	84.33904	–3.73155	0.0018
LOGLE	–46.16322	217.2996	–0.21244	0.8344
LOGLE(−1)	–571.8769	215.5066	–2.65364	0.0173
LOGLE(−2)	–472.5702	207.743	–2.274782	0.037
LOGLE(−3)	–351.4017	211.0457	–1.66505	0.1154
PGR	78.86322	89.0233	0.885872	0.3888
PGR(−1)	–231.109	154.979	–1.491227	0.1554
PGR(−2)	181.0802	95.36627	1.898786	0.0758
UNEMPR	0.406509	2.259756	0.179891	0.8595
C	2973.247	772.9377	3.846684	0.0014
R²	0.882664	Mean dependent variable		1.866296
Adjusted R²	0.809329	SD dependent variable		5.926552
SE of regression	2.587884	Akaike information criterion		5.031125
Sum squared residual	107.1543	Schwarz criterion		5.559058
Log likelihood	–56.92018	Hannan–Quinn criterion		5.188107
F-statistic	12.03603	Durbin–Watson statistic		2.486614
Prob (F-statistic)	0.000011	Durbin–Watson statistic		2.486614

Variable	Coefficient	Standard error	T-statistic	Probability*
NMR(−1)	0.396488	0.187354	2.116255	0.0504
LOGIM	–314.7153	84.33904	–3.73155	0.0018
LOGLE	–46.16322	217.2996	–0.21244	0.8344
LOGLE(−1)	–571.8769	215.5066	–2.65364	0.0173
LOGLE(−2)	–472.5702	207.743	–2.274782	0.037
LOGLE(−3)	–351.4017	211.0457	–1.66505	0.1154
PGR	78.86322	89.0233	0.885872	0.3888
PGR(−1)	–231.109	154.979	–1.491227	0.1554
PGR(−2)	181.0802	95.36627	1.898786	0.0758
UNEMPR	0.406509	2.259756	0.179891	0.8595
C	2973.247	772.9377	3.846684	0.0014
R²	0.882664	Mean dependent variable		1.866296
Adjusted R²	0.809329	SD dependent variable		5.926552
SE of regression	2.587884	Akaike information criterion		5.031125
Sum squared residual	107.1543	Schwarz criterion		5.559058
Log likelihood	–56.92018	Hannan–Quinn criterion		5.188107
F-statistic	12.03603	Durbin–Watson statistic		2.486614
Prob (F-statistic)	0.000011	Durbin–Watson statistic		2.486614

Source: Authors’ estimation (Eviews Version 11)