Application of Double Hurdle Model on Effects of Demographics for Tea Consumption in China

Table 3

Effects of binary explanatory variables on tea consumption by different genders.

Variable	Men (log likelihood = −10457.573)				Women (log likelihood = −7713.838)
	Consumption equation		Participation equation		Consumption equation		Participation equation
Central	0.925	2.93	−5.054	−0.05	1.651	2.38	−13.977	−0.09
East	2.304	9.63	−4.832	−0.05	2.741	4.75	−14.010	−0.09
Job	0.076	0.42	−0.210	−1.75	0.468	1.82	−0.421	−3.01
Old	0.143	0.90	−0.111	−1.14	0.507	2.03	−0.336	−2.80
Rural	0.547	3.28	0.570	4.97	0.083	0.29	0.993	3.12
Constant	−0.428	−2.03	−1.477	0.05	−3.751	−11.09	14.936	0.10

Significance at 5%. Significance at 1%.