Table 2

Estimation results for the cigarette demand equation

 Two-step estimationSimple ordinary least squares
CoefficientSEsCoefficientSEs
Age0.058***(0.005)0.05***(0.003)
Age squared−0.001***(0.000)−0.001***(0.000)
Female−1.042***(0.240)−0.491***(0.02)
Rural area0.080***(0.020)0.041***(0.014)
Single0.091***(0.025)0.049***(0.019)
Divorced0.317***(0.094)0.097***(0.03)
Widowed0.468***(0.086)0.255***(0.032)
Elementary school0.029(0.022)0.007(0.02)
Middle school−0.054*(0.028)−0.007(0.018)
College−0.126***(0.024)−0.077***(0.015)
No jobs−0.110***(0.028)−0.069***(0.022)
White-collar−0.018(0.026)−0.026(0.023)
Service and sales0.145***(0.036)0.099***(0.022)
Agriculture and fisheries−0.011(0.032)0.006(0.029)
Construction0.102***(0.032)0.066***(0.021)
Duration of smoking0.016***(0.001)0.014***(0.001)
Log price−0.425***(0.072)−0.26***(0.027)
Log income−0.015**(0.007)−0.013*(0.007)
Constant4.273***(0.362)3.461***(0.208)
Inverse Mills ratio0.401**(0.193)
  • Robust SEs are presented in parenthesis, using the Huber/White/Sandwich estimator.

  • *<0.1, **<0.05, ***<0.001.

  • The excluded categories for sex is male, for rural area is urban, for marital status is married, for education is high school, for occupation is professionals and managers.