Table IV. Model estimation for probit... | Emerald Publishing

Table IV.

Model estimation for probit model and heckprobit sample model

	Probit model		Heckprobit model
Variables	Coef.	z	Coef.	z
Climate change awareness
Farm Size	−0.2579695	−1.32	−0.2621498	−1.32
Gender	−0.1159813	−0.37	−0.2024174	−0.63
Farming Experience	0.3043395	1.73*	0.2931186	1.65*
Age	−0.7176982	−1.39	−0.4078696	−2.24**
Land Acquisition	0.2316214	0.77	0.1841664	0.59
Extension visit	−0.4180120	−1.20	−0.9364000	−2.10**
constant	4.18138	1.89
	LR chi² (6) = 9.81
	Prob > chi² = 0.1331
	Log likelihood = −61.701446
	Pseudo R² = 0.0736
Agroforestry adoption
Farm Size	−0.1524594	−0.54	−0.0769908	−0.24
Farming System	−0.2024174	0.09	0.0874180	0.22
Age	0.1898053	0.93	0.1898053	0.93
Members’ Association	0.7832894	2.13**	0.7130806	1.74*
Information Source	−0.3610024	−1.68*	−0.4938050	−2.19**
constant	−1.3817480	−1.44	−1.6522490	−1.17
/athrho			−0.0657091	−0.08
rho			−0.0656147
	LR chi² (4) = 9.25
	Prob > chi² = 0.0553
	Log likelihood = −28.98218
	Pseudo R² = 0.1376
		LR test of indep. eqns. (rho = 0):
		chi² (1) = 0.01
		Prob > chi² = 0.9341
		Number of obs = 117
		Censored obs = 30
		Uncensored obs = 87
		Wald chi² (5) = 8.48
		Log likelihood = −85.07406
		Prob > chi² = 0.1315

	Probit model		Heckprobit model
Variables	Coef.	z	Coef.	z
Climate change awareness
Farm Size	−0.2579695	−1.32	−0.2621498	−1.32
Gender	−0.1159813	−0.37	−0.2024174	−0.63
Farming Experience	0.3043395	1.73*	0.2931186	1.65*
Age	−0.7176982	−1.39	−0.4078696	−2.24**
Land Acquisition	0.2316214	0.77	0.1841664	0.59
Extension visit	−0.4180120	−1.20	−0.9364000	−2.10**
constant	4.18138	1.89
	LR chi² (6) = 9.81
	Prob > chi² = 0.1331
	Log likelihood = −61.701446
	Pseudo R² = 0.0736
Agroforestry adoption
Farm Size	−0.1524594	−0.54	−0.0769908	−0.24
Farming System	−0.2024174	0.09	0.0874180	0.22
Age	0.1898053	0.93	0.1898053	0.93
Members’ Association	0.7832894	2.13**	0.7130806	1.74*
Information Source	−0.3610024	−1.68*	−0.4938050	−2.19**
constant	−1.3817480	−1.44	−1.6522490	−1.17
/athrho			−0.0657091	−0.08
rho			−0.0656147
	LR chi² (4) = 9.25
	Prob > chi² = 0.0553
	Log likelihood = −28.98218
	Pseudo R² = 0.1376
		LR test of indep. eqns. (rho = 0):
		chi² (1) = 0.01
		Prob > chi² = 0.9341
		Number of obs = 117
		Censored obs = 30
		Uncensored obs = 87
		Wald chi² (5) = 8.48
		Log likelihood = −85.07406
		Prob > chi² = 0.1315

Notes:

*p < 0.1;

**p < 0.05; ***p < 0.01 at 10, 5 and 1 per cent level of significant respectively

Source: Author’s Computation (2019)