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ZENODO
Article . 2012
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2012
License: CC BY
Data sources: ZENODO
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UTL Repository
Research . 2010
Data sources: UTL Repository
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Lottery Sales And Per-Capita Gdp: An Inverted U Relationship

Authors: Maria João Kaiseler; Horácio C. Faustino;

Lottery Sales And Per-Capita Gdp: An Inverted U Relationship

Abstract

The main purpose of this study is to test the hypothesis that the relationship between percapita sales and per-capita GDP is given by an inverted U. The paper considers that lottery sales increase together with increases in GDP up to a point where a country has reached a level at which the GDP is high enough and lottery sales become an inferior good and as a result, start to decrease. The results confirm the hypothesis, in addition to yielding other interesting findings: countries with higher levels of education sell fewer lottery products; lottery sales increase together with increases in the male to female ratio.

Country
Portugal
Keywords

Gender Ratio, Religion, Per-Capita GDP, gender ratio;, education., Gambling, Gambling;, Gambling; Per-capita GDP; Gender ratio; Religion; Education., per-capita GDP;, Education, religion;

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green