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Record W346314430

BUILDING BETTER INSTITUTIONS

2006· article· en· W346314430 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCato Journal · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsLanguage changeCompetition (biology)State (computer science)Political sciencePrivate sectorSchedulePublic institutionLaw and economicsEconomicsBusinessPublic administrationLawManagement
DOInot available

Abstract

fetched live from OpenAlex

It is a pleasure to be here today at the Cato Institute. I know that Cato believes in competition. Perhaps it is this spirit of competition that led you to schedule today's conference to coincide with the International Monetary Fund's research conference and steal the IMF's managing director and its current and past directors of research as participants. But while you have missed out on our research conference you will not miss out on our research: my talk today is based to a large extent on the findings of our latest World Economic Outlook, which conveniently has the theme Building [IMF 2005a]. My remarks address three questions. First, what have we learned about the importance of institutions in promoting economic development? Second, how we can accelerate the transition to better institutions? And, third, what reforms of international organizations, the IMF in particular, are needed to help this transition? The Importance of Institutions Let me begin with what we have learned about the importance of good institutions. By good institutions, I mean the adoption of policy frameworks in which there is acceptance of several broad principles: * First, the private sector is recognized as the main actor on the economic stage, with the state stepping in to provide appropriate regulation of markets. * Second, there is a commitment to protecting property rights and creating an environment where innovation can thrive. * Third, the rule of law prevails, and corruption is not tolerated in either the public or private arenas. * And, fourth, there is a stable macroeconomic environment, reflected in low inflation and a sustainable fiscal position. All this sounds to us today like common sense. But it is the evidence that has accumulated over the last few decades that has led to universal acceptance of these propositions. Forty years ago, with the Soviet Union still standing, many countries were tempted to give the state control over the commanding heights of the economy. That is not the case today. It took a resurgence of interest among economists in the 1960s and 1970s to improve our understanding of how vested interests block economic growth. One of those economists was my colleague Anne Krueger who coined the term rent in a famous paper published in 1974. Attitudes toward corruption were also different then. In many countries, corruption was not just tolerated but almost welcomed as necessary to grease the wheels of commerce. Today, these same countries are engaged in a difficult but necessary battle to eliminate corruption. Finally, the idea of seeking salvation through inflation has also been abandoned in recent decades. In the 1960s inflation was tolerated in the belief that it helped lower unemployment. Inflating one's way out of trouble was politically tempting for governments around the world and was regarded as imposing relatively few long-term economic costs. Indeed, as late as the early 1990s, annual inflation averaged more than 40 percent in Africa and more than 200 percent in Latin America, compared with the single-digit rates in both regions today. Clearly, attitudes and institutional frameworks have changed, as reflected in the sharp decline in inflation rates all over the globe and the independence of central banks. It is not easy to quantify these changes in attitudes but it can be done. By combining information of the prevalence of the rule of law, the extent of regulatory burdens, the degree of corruption, the independence of central banks, and so on, one can create indexes of the quality of institutions. The work by IMF staff on the role of institutions relies quite heavily on these indexes, particularly the index of economic freedom published by the Fraser Institute in Canada in conjunction with the Cato Institute and other think tanks worldwide (see Gwartney and Lawson 2005). …

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.249
Teacher spread0.215 · 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