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The unequal effects of gambling and other sin taxes on low-income households

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View Abstract View Snapshot Back to Search Results

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Author(s): Gandullia, L. ; Leporatti, L.

Journal: The Journal of Economic Inequality

Year Published: 2019

Date Added: November 24, 2019

Gambling taxes are regressive in that people with lower income tend to spend more of their budget on gambling products. Therefore, they contribute more to gambling tax revenues. Using data from the 2014 Household Budget Survey in Italy, the researchers compared how regressive gambling taxes are to other consumption taxes, especially taxes on other sin goods (i.e., cigarettes, beer, and wine). In the short term, based on income, gambling taxes were the most regressive of all the sin goods. In the long run, based on the amount of money spent, gambling taxes were less regressive than cigarettes and beer. However, gambling taxes were still more regressive than the consumption taxes of some other goods. Despite the focus on the Italian context, the findings of this study could offer insights for other countries. The results highlight the need to control the social costs of gambling and offset its unequal effects on vulnerable groups.


Citation: Gandullia, L., & Leporatti, L. (2019). Distributional effects of gambling taxes: Empirical evidence from Italy. The Journal of Economic Inequality. Advance online publication. https://doi.org/10.1007/s10888-019-09423-9

Article DOI: https://doi.org/10.1007/s10888-019-09423-9

Keywords: gambling ; taxation

Conceptual Framework Factors:   Environment - Economics ; Gambling Environment ; Environment - Public Policy

Study Design: Observational: Cross-sectional

Geographic Coverage: Italy

Study Population: Households in Italy

Sampling Procedure: The researchers used data on monthly household consumption derived from the Italian Household Budget Survey (HBS) (source ISTAT, year 2014,16,804 households). Since the HBS did not contain information on household income, the income of each household member was estimated by matching income data from the Statistics on Income and Living Conditions (EU-SILC) survey with consumption data in the HBS survey.

Study Funding:

No source of funding was declared for this study.

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