# Table 3 Own and cross price elasticity of SSBs

Author/year/country

Own-price elasticity

Cross-price elasticity

Estimated

SE

Fruit juice

SE

Whole milk

SE

Diet drink

SE

Barquera S, et al. (2008), Mexico

-1.085

0.195

-0.016

0.003

0.052

0.011

Bonnet C, et al. (2011), France 1

-2.206

0.133

Claro RS, et al. (2012), Brazil 2

-0.85

0.434

Dharmasena S, et al. (2012), USA 3

-2.255

0.550

Finkelstein EA, et al. (2010), USA

-0.870

0.090

Finkelstein EA, et al. (2013), USA

-1.320

0.005

Fletcher JM, et al. (2010b), USA 4

-4.445

1.806

1.857

2.332

7.67

2.156

Lin BH, et al. (2011), USA (Low-Income Population)

-0.949

0.082

0.473

0.127

0.242

0.129

-0.23

0.104

Lin BH, et al. (2011), USA (High-Income Population)

-1.292

0.096

0.529

0.093

-0.054

0.13

-0.591

0.112

Smith TA, et al. (2010), USA

-1.264

0.089

0.557

0.095

0.222

0.126

-0.457

0.103

Overall

-1.299

0.388

0.129

-0.423

(LCI – HCI)

(-1.089 - -1.509)

(0.0095 - 0.767)

(-0.085 - 0.342)

(-0.628 - -1.219)

1. In all the next four cases the authors were contacted by email and could not provide any additional information to explain the missing values needed. To enable inclusion of the studies, we estimated the following values:
2. 1Own-price elasticity: Consumer prices rose “by more than 3.4% on average” which led to a decrease in market share of 7.5%. Then -7.5/3.4 = -2.206. SE was inferred from Table VI: SE = (-0.07/1.16)*2.206 = 0.133.
3. 2Information obtained from the paper: P < 0.05 at p(2-sides) = 0.05. Then SE = -[0.85]/1.96 = 0.434.
4. 3The paper does not report SE, but only a p-value of 0.0000. It was used a website to derive an estimate of the Z-statistic (http://easycalculation.com/statistics/p-value-for-z-score.php). It was chose a value of 4.1, which is the lowest value that gives a two-sided p-value of 0.0000. Then SE = -[2.255]/4.1 = 0.550.
5. 4SE inferred from mean and SE of grams of soft drink consumption (Table 4 in ref ): mean = -18.052, SE = 7.333, Ratio 7.33/-18.052 = -0.40622. Then SE = -4.445*-0.40622 = 1.806.
6. The numbers in parenthesis denote 95% confidence interval. 