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Record W2351445426 · doi:10.2139/ssrn.3924422

Economic Freedom of the World - 2021 Annual Report

2021· article· en· W2351445426 on OpenAlexaboutno aff
Robert F. Lawson, Joshua C. Hall, Ryan Murphy, JAMES D. GWARTNEY

Bibliographic record

VenueSMU Scholar (Southern Methodist University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic freedomPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

The index published in Economic Freedom of the World measures the degree to which the policies and institutions of countries are supportive of economic freedom. The cornerstones of economic freedom are personal choice, voluntary exchange, freedom to enter markets and compete, and security of the person and privately owned property. Forty-two data points are used to construct a summary index, along with a Gender Legal Rights Adjustment to measure the extent to which women have the same level of economic freedom as men. The degree of economic freedom is measured in five broad areas: Size of Government: As government spending, taxation, and the size of government-controlled enterprises increase, government decision-making is substituted for individual choice and economic freedom is reduced. Legal System and Property Rights: Protection of persons and their rightfully acquired property is a central element of both economic freedom and civil society. Indeed, it is the most important function of government. Sound Money: Inflation erodes the value of rightfully earned wages and savings. Sound money is thus essential to protect property rights. When inflation is not only high but also volatile, it becomes difficult for individuals to plan for the future and thus use economic freedom effectively. Freedom to Trade Internationally: Freedom to exchange – in its broadest sense, buying, selling, making contracts, and so on – is essential to economic freedom, which is reduced when freedom to exchange does not include businesses and individuals in other nations. Regulation: Governments not only use a number of tools to limit the right to exchange internationally, they may also impose onerous regulations that limit the right to exchange, gain credit, hire or work for whom you wish, or freely operate your business. Since the Fraser Institute’s first publication in 1996, numerous studies have used the data published in Economic Freedom of the World to examine the impact of economic freedom on investment, economic growth, income levels, and poverty rates. Virtually without exception, these studies have found that countries with institutions and policies more consistent with economic freedom have higher investment rates, more rapid economic growth, higher income levels, and a more rapid reduction in poverty rates. The most recent comprehensive data available are from 2019. Hong Kong remains in the top position. The apparent increased insecurity of property rights and the weakening of the rule of law caused by the interventions of the Chinese government during 2020 and 2021 will likely have a negative impact on Hong Kong’s score, especially in Area 2, Legal System and Property Rights, going forward. Singapore, once again, comes in second. The next highest scoring nations are New Zealand, Switzerland, Georgia, United States, Ireland, Lithuania, Australia, and Denmark. Rankings of other major countries The rankings of some other major countries are Canada (14th), Japan (18th), Germany (22nd), Italy (47th), France (53rd), Mexico (75th), Russia (100th), India (108th), Brazil (109th), and China (116th). Ten lowest-rated countries The ten lowest-rated countries are: Central African Republic, Democratic Republic of Congo, Syria, Republic of Congo, Iran, Zimbabwe, Algeria, Libya, Sudan, and, lastly, Venezuela. Nations that are economically free out-perform non-free nations in indicators of well-being. In the top quartile, the average income of the poorest 10 per cent was $14,400, compared to $1,549 in the bottom quartile (PPP constant 2017, international$). Interestingly, the average income of the poorest 10 per cent in the most economically free nations is more than twice the average per-capita income in the least free nations. In the top quartile, 0.9. per cent of the population experience extreme poverty (US$1.90 a day) compared to 34.1 per cent in the lowest quartile. Life expectancy is 81.1 years in the top quartile compared to 65.9 years in the bottom quartile.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0010.000
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0310.029

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.293
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations181
Published2021
Admission routes1
Has abstractyes

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