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. Author manuscript; available in PMC: 2011 Jan 1.
Published in final edited form as: Contemp Econ Policy. 2010 Jan;28(1):23–35. doi: 10.1111/j.1465-7287.2009.00182.x

Table 4.

The Impact of Incremental Soft Drink Taxes on BMI, Obese, and Overweight by Demographic Category

BMI
Obese
Overweight
N
Female −0.0040***
[0.0008]
0.0000
[0.0001]
−0.0005***
[0.0001]
1583097
Male −0.0009**
[0.0004]
−0.0001
[0.0000]
0.0001**
[0.0000]
1126325
Black −0.0012
[0.0017]
−0.0001
[0.0001]
0.0001
[0.0001]
235642
White −0.0026***
[0.0005]
0.0000
[0.0000]
−0.0002***
[0.0001]
2413637
Hispanic −0.0164***
[0.0019]
−0.0021***
[0.0002]
−0.0022***
[0.0001]
157002
High School Graduate −0.0031***
[0.0005]
−0.0002***
[0.0000]
0.0002***
[0.0000]
2389880
College Graduate −0.0076***
[0.0007]
−0.0004***
[0.0000]
−0.0004***
[0.0001]
792385
Married −0.0044***
[0.0006]
−0.0003***
[0.0000]
−0.0005***
[0.0001]
1481699
Age > 65 −0.0038***
[0.0012]
−0.0001
[0.0001]
−0.0002
[0.0001]
553913
Age 18-25 0.0022
[0.0014]
0.0000
[0.0001]
0.0001
[0.0001]
236521
Age 25-40 −0.0032***
[0.0006]
−0.0001
[0.0001]
−0.0005***
[0.0001]
740654
Age 40-65 −0.0037***
[0.0005]
0.0000
[0.0001]
−0.0001*
[0.0001]
1178334

Notes: Heteroskedasticity-robust standards errors in parentheses that allow for clustering within states. Each cell represents a separate regression. The White and High school graduate samples were estimated using a 50% random sample. Additional variables include male, age, age squared, black, Hispanic, state, year, and quarter fixed effects, and state-specific time trends. Observations are weighted using the BRFSS survey weights in all regressions.

*

significant at 10%

**

significant at 5%

***

significant at 1%