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. Author manuscript; available in PMC: 2023 Jun 1.
Published in final edited form as: Am J Prev Med. 2022 Feb 25;62(6):921–929. doi: 10.1016/j.amepre.2021.12.012

Table 2.

Store-Level Difference-in-Differences in Beverage Volume Sales 2 Years After Philadelphia Beverage Tax Implementation

Philadelphia vs Baltimore PA border vs MD border
Outcome Mean (SD) pre-tax volume sales (ounces, millions) in Philadelphiaa Difference-in-differences (95% CI)b Adjusted p-valuec Mean (SD) pre-tax volume sales (ounces, millions) in PA bordera Difference-in-differences (95% CI)b Adjusted p-valuec
Taxed beverages
 All 1.03 (2.16) −50% (−61%, −36%) <0.0001 0.96 (1.45) 16% (9%, 24%) <0.0001
 Individual-sized 0.13 (0.16) −26% (−33%, −18%) <0.0001 0.12 (0.14) 13% (8%, 17%) <0.0001
 Family-sized 0.90 (2.01) −53% (−64%, −39%) <0.0001 0.85 (1.32) 17% (9%, 25%) <0.0001
 Sugar-sweetened 0.88 (1.88) −49% (−60%, −35%) <0.0001 0.72 (1.10) 17% (9%, 25%) <0.0001
 Artificially-sweetenedd 0.15 (0.32) −55% (−63%, −44%) <0.0001
Nontaxed beverages
 All 1.29 (2.70) 4% (−3%, 12%) 0.29 1.17 (1.76) 0% (−5%, 7%) 0.90
 Individual-sized 0.07 (0.11) 1% (−4%, 6%) 0.67 0.08 (0.12) 2% (−2%, 6%) 0.50
 Family-sized 1.21 (2.60) 4% (−3%, 13%) 0.29 1.09 (1.65) 0% (−6%, 7%) 0.90

Note: Boldface indicates statistical significance (p<0.05).

a

Per 4-week period.

b

A generalized estimating equation with a log link and gamma distribution was used with indicator variables for intervention time (pre-intervention=0, post-intervention=1), city (Baltimore/MD border ZIP codes=0, Philadelphia/PA border ZIP codes=1), and an interaction between them, which represents the difference-in-differences. Percent change was calculated as (exp(difference-in-differences)-1)*100%.

c

P-values controlled for the false discovery rate for 8 comparisons in Philadelphia and 7 in PA border ZIP codes.

d

Difference-in-differences not reported for PA border vs MD border because of a violation of pre-tax parallel trends.