| Title |
Non‐Linear Effects of Soda Taxes on Consumption and Weight Outcomes
|
|---|---|
| Published in |
Health economics (Online), March 2014
|
| DOI | 10.1002/hec.3045 |
| Pubmed ID | |
| Authors | |
| Abstract |
The potential health impacts of imposing large taxes on soda to improve population health have been of interest for over a decade. As estimates of the effects of existing soda taxes with low rates suggest little health improvements, recent proposals suggest that large taxes may be effective in reducing weight because of non-linear consumption responses or threshold effects. This paper tests this hypothesis in two ways. First, we estimate non-linear effects of taxes using the range of current rates. Second, we leverage the sudden, relatively large soda tax increase in two states during the early 1990s combined with new synthetic control methods useful for comparative case studies. Our findings suggest virtually no evidence of non-linear or threshold effects. Copyright © 2014 John Wiley & Sons, Ltd. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 40% |
| United Kingdom | 3 | 15% |
| Canada | 2 | 10% |
| Brazil | 1 | 5% |
| Slovenia | 1 | 5% |
| New Zealand | 1 | 5% |
| Unknown | 4 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Practitioners (doctors, other healthcare professionals) | 6 | 30% |
| Scientists | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Unknown | 1 | 5% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Unknown | 130 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 17% |
| Researcher | 21 | 16% |
| Student > Bachelor | 18 | 14% |
| Student > Ph. D. Student | 14 | 11% |
| Student > Doctoral Student | 7 | 5% |
| Other | 15 | 11% |
| Unknown | 35 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 21 | 16% |
| Medicine and Dentistry | 20 | 15% |
| Nursing and Health Professions | 10 | 8% |
| Social Sciences | 9 | 7% |
| Agricultural and Biological Sciences | 8 | 6% |
| Other | 16 | 12% |
| Unknown | 49 | 37% |