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Measuring Economic Freedom: Better Without Size of Government

Overview of attention for article published in Social Indicators Research, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 blog
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31 X users

Citations

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43 Dimensions

Readers on

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41 Mendeley
Title
Measuring Economic Freedom: Better Without Size of Government
Published in
Social Indicators Research, November 2016
DOI 10.1007/s11205-016-1508-x
Pubmed ID
Authors

Jan Ott

Abstract

The Heritage Foundation and the Fraser Institute measure economic freedom in nations using indices with ten and five indicators respectively. Eight of the Heritage indicators and four of the Fraser-indicators are about specific types of institutional quality, like rule of law, the protection of property, and the provision of sound money. More of these is considered to denote more economic freedom. Both indices also involve indicators of 'big government', or levels of government activities. More of that is seen to denote less economic freedom. Yet, levels of government spending, consumption, and transfers and subsidies appear to correlate positively with the other indicators related to institutional quality, while this correlation is close to zero for the level of taxation as a percentage of GDP. Using government spending, consumption transfers and subsidies as positive indicators is no alternative, because these levels stand for very different government activities, liberal or less liberal. This means that levels of government activities can better be left out as negative or positive indicators. Thus shortened variants of the indices create a better convergent validity in the measurement of economic freedom, and create higher correlations between economic freedom and alternative types of freedom, and between economic freedom and happiness. The higher correlations indicate a better predictive validity, since they are predictable in view of the findings of previous research and theoretical considerations about the relations between types of freedom, and between freedom and happiness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Doctoral Student 4 10%
Professor > Associate Professor 3 7%
Researcher 3 7%
Student > Ph. D. Student 3 7%
Other 5 12%
Unknown 16 39%
Readers by discipline Count As %
Economics, Econometrics and Finance 7 17%
Business, Management and Accounting 4 10%
Arts and Humanities 2 5%
Psychology 2 5%
Social Sciences 2 5%
Other 5 12%
Unknown 19 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2024.
All research outputs
#1,166,673
of 25,621,213 outputs
Outputs from Social Indicators Research
#106
of 1,920 outputs
Outputs of similar age
#23,023
of 417,530 outputs
Outputs of similar age from Social Indicators Research
#3
of 33 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,920 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 417,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.