Determinants of Livelihood Diversification among Households in the Sub-Saharan Town of Merawi, Ethiopia

Table 2

Summary of multinomial logistic regression model analysis.

Variables	Moderate livelihood diversification (1) vs. no livelihood diversification (0)			High livelihood diversification (2) vs. no livelihood diversification (0)
	Coef	SE	Wald	Coef	SE	Wald
Intercept	−5.006	1.601	9.777	−4.542	1.557	8.504
Irrgatin = income from irrigation	2.902	0.317	0.012	2.902	0.317	0.012
Laown = land ownership	120.572	0.407	87900.538	121.122	0.000
Totincome = total annual cash income	0.000	0.000	8.439	0.000	0.000	7.862
Tocaposs = total cattle possession	0.329	2.902	0.000	3.626	12.902	1.031
[Priflu = 1(yes)] = price fluctuation problem	2.899	1.310	4.896	1.629	1.275	1.633
Laown irrgatin	0.002	0.260	0.000	0.002	0.260	0.000
[Priflu = 1(yes)] totincome	0.000	0.000	9.210	0.000	0.000	8.924
[Priflu = 2(no)] totincome	0.000	0.000	20.320	0.000	0.000	0.075
[Priflu = 1(yes)]tocaposs = total cattle possession	12.892	0.097	17697.086	13.215	0.000
[Priflu = 2(no)] tocaposs	1.534	5936.183	0.000	19.113	4439.262	0.000

Note: pseudo-R² = .570 (Cox and Snell), .685 (Nagelkerke). Model χ² (22) = 278.53,  < .001. ,  < 0.1, ,  < 0.05, and ,  < .01, respectively. Source: own survey, 2019.