Table 4

Binomial models estimated by generalised estimating equations—ORs

Dependent variable—illegal cigarettes 1, roll-your-own 0
VariableModel 1Model 2
AllMenWomenAllMenWomen
Tax per pouch
 2008 reference
  20101.031.28*0.80†
  20121.40†1.82†1.01
  20141.27‡1.49‡1.13
Gender # tax per pouch
 0 # 2008 reference
  0 # 20101.061.06
  0 # 20121.30‡1.36‡
  0 # 20141.031.07
  1 # 20081.19§
  1 # 20100.81‡
  1 # 20121.37†1.05
  1 # 20141.41†1.18
Gender # city
 0 # Montevideo reference
  0 # Durazno0.30‡0.35‡
 0 # Maldonado0.49*0.49*
  0 # Rivera8.40†8,43†
  0 # Salto0.770.83
 1 # Montevideo0.39*§
  1 # Durazno0.17‡0.40
 1 # Maldonado0.471.18
  1 # Rivera1.442.84†
  1 # Salto2.10
City region1.87†1.20†2.83†
Illegal cigarettes offer1.03†1.06†0.99
Age1.14†0.991.55†1.19†1.041.57†
Gender5.93†11.69†
Education1.33†1.74†0.841.37†1.84†0.87
Income1.020.981.051.020.991.06
Consumption intensity1.01†1.02†0.991.01‡1.01‡0.99
Margins effects (The Stata option (dy/dx(varlist) estimate marginal effect of variables varlist)
Tax per pack
 2008 reference
 20100.0070.048−0.041†−0.0100.0135−0.036‡
 20120.0680.123†0.0010.040‡0.058‡0.008
 20140.048†0.079‡0.0220.0160.0120.028
Gender
 0 reference
 10.366†
City
 Montevideo reference
 Durazno−0.193†−0.198*−0.162
 Maldonado−0.057−0.134*0.029
 Salto0.0410.0360.130
 Rivera0.355†0.405†0.183†
City region0.127†0.0370.187†
Illegal cigarettes offer0.006†0.012†−0.001
Age0.026†0.0000.079†0.032†0.0070.079†
Gender0.358†0.463†
Education0.058†0.115†−0.0320.060†0.116†−0.024
Income0.005−0.0040.0090.003−0.0020.011
Consumption intensity0.002†0.003†0.0000.0015‡0.002‡0.000
Observations12897315581289731558
  • Significant at

  • *10%.

  • †1%.

  • ‡5%.

  • §In model 2 women, reference is 1#2008 and 1#Montevideo (women=1).