Table 1

UPC counts and availability share of cigarillos by flavour category, prepolicy and postpolicy in Providence, RI and an ROS comparison area, January 2012–January 2016

Postestimation summary results*
GeographyCoefficient(s)†Number of unique UPCs
(Newey-West standard error)
Share of unique UPCs in percentage points
(Newey-West standard error)
TotalConceptExplicitTobaccoConceptExplicitTobacco
Prepolicy availability
 Providenceβ0 + β2 96.549.1250.4936.689.44%52.41%37.88%
(1.83)(0.51)(1.47)(1.84)(0.49)(1.70)(1.52)
 ROSβ0 137.9413.3075.5948.509.68%54.78%35.16%
(2.50)(1.51)(1.64)(1.25)(0.99)(1.45)(0.57)
Postpolicy availability
 Providenceβ0 + β2 + β4 + β6 86.2621.9522.4541.8027.32%21.46%51.19%
(4.51)(1.71)(3.28)(4.18)(1.77)(3.63)(3.62)
 ROSβ0+ β4 156.3120.0578.7357.2412.67%50.74%36.51%
(5.80)(2.66)(2.85)(2.60)(1.67)(2.08)(1.00)
Net policy effect on availability‡β6 28.64 6.08 31.18 −3.62 14.88 26.90 11.96
(5.83)(2.31)(3.06)(3.47)(1.91)(2.61)(2.65)
Total postpolicy difference on availability§β2 + β6 70.04 1.8956.28 15.44 14.65 29.27 14.68
(7.34)(3.16)(4.35)(4.93)(2.43)(4.18)(3.75)
Prepolicy trend
 Providenceβ1 + β3 −0.22−0.04−0.200.03−0.02−0.100.13
(0.09)(0.01)(0.06)(0.08)(0.01)(0.07)(0.07)
 ROSβ1 −0.15−0.02−0.09−0.05−0.003−0.0080.006
(0.09)(0.05)(0.05)(0.04)(0.03)(0.04)(0.02)
Postpolicy trend
 Providenceβ1 + β3 + β5 + β7 −0.02−0.01−0.0005−0.020.0010.003−0.01
(0.02)(0.01)(0.01)(0.01)(0.01)(0.01)(0.01)
 ROSβ1 + β5 −0.20−0.003−0.13−0.060.02−0.030.007
(0.03)(0.01)(0.01)(0.02)(0.005)(0.006)(0.004)
Net policy effect on trend**β7 0.240.02 0.24 −0.03−0.00040.13−0.14
(0.14)(0.05)(0.08)(0.09)(0.04)(0.08)(0.07)
Total postpolicy difference in trend††β3 + β7 0.18−0.003 0.13 0.05 −0.02 0.04 −0.02
(0.04)(0.02)(0.01)(0.02)(0.01)(0.01)(0.01)
  • Trends in Providence and ROS were parallel in the prepolicy period (ie, data met the parallel trends assumption). ROS=rest of state (excludes Providence).

  • Bold=p<0.05; significance only indicated for net policy effect (difference-in-difference analysis) and total postpolicy difference rows.

  • *Number or share of unique UPCs = β0 + β1(Time Trend) + β2(Providence) + β3(Providence * Time Trend) +β4(Policy Indicator) + β5(Policy Indicator *Time Trend) + β6(Providence *Policy Indicator) +β7(Providence *Policy Indicator *Time Trend).

  • †Reference online supplemental table 1 for detailed regression results.

  • ‡Change in the number or share (in percentage points) of unique UPCs associated with the policy in Providence relative to ROS.

  • §Total difference in the number or share (in percentage points) of unique UPCs between providence and ROS.

  • ¶Trend is the average weekly change in the number or share (in percentage points) of UPCs; if statistically insignificant, the number or share of UPCs does not significantly change from week to week during the defined period.

  • **Change in the trend of the number or share (in percentage points) of unique UPCs associated with the policy in providence compared with the change in ROS

  • ††Total difference between Providence and ROS in the average weekly change in the number or share (in percentage points) of unique UPCs in the post-policy period.

  • RI, Rhode Island ; ROS, rest of state ; UPC, universal product code .