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Enregistrement W244177233

Nominal GDP Targeting: A Simple Rule to Improve Fed Performance

2014· article· en· W244177233 sur OpenAlexaboutno aff
Scott Sumner

Notice bibliographique

RevueCato Journal · 2014
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueMonetary Policy and Economic Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEconomicsMonetary policyMonetarismKeynesian economicsGold standard (test)Variety (cybernetics)Monetary economicsMarket liquidityValue (mathematics)MacroeconomicsComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The history of central banking is a story of one failure after another. This record does not mean that our actual monetary regimes have been the worst of all possible regimes--far from it. But it does mean that we can improve policy by learning from experience. Every proposed reform is a response to a previous failure, an implicit display of lessons learned. A big part of this story has been the search for a robust monetary system that could produce good outcomes under a wide variety of conditions, without having to rely on a central bank run by a benevolent and omniscient philosopher king. It is a search for a monetary rule that can provide the appropriate amount of liquidity to the economy, under widely differing conditions. In this article, I argue that the optimal monetary rule is a nominal GDP (NGDP) target, or something closely related. To understand the advantages of this approach, it helps to see how the theory and practice of central banking have changed over time--that is, to see what went wrong with some previous monetary regimes, and how past reformers responded to those failures. The Gold Standard It is not hard to see why gold and silver were used as money for much of human history. They are scarce, easy to make into coins, and hold their value over time. Even today one finds many advocates of returning to the gold standard, especially among libertarians. At the same time most academic economists, Keynesian and monetarist, have insisted we can do better by reforming existing fiat standards. It is easy to understand this debate if we start with the identity that the (real) value of money is the inverse of the price level. Of course, in nominal terms a dollar is always worth a dollar, but in real terms the value or purchasing power of a dollar falls in half each time the cost of living doubles. During the period since we left the gold standard in 1933 the price level has gone up nearly 18-fold; a dollar today has less purchasing power than six cents back in 1933. That sort of currency depreciation is almost impossible under a gold standard regime; indeed the cost of living in 1933 wasn't much different from what it was in the late 1700s. This long-run stability of the price level is the most powerful argument in favor of the gold standard. The argument against gold is also based on changes in the value of money, albeit in this case short-term changes. Since the price level is inversely related to the value of money, changes in the supply or demand for gold caused the price level to fluctuate in the short run when gold was used as money. Although the long-run trend in prices under a gold standard is roughly flat, the historical gold standard was marred by periods of inflation and deflation. (1) Most people agree on that basic set of facts, but then things get more contentious. Critics of the gold standard like Ben Bernanke point to periods of deflation such as 1893-96, 1920-21, and 1929-33, which were associated with falling output and rising unemployment. This is partly because wages are sticky in the short run (see Bernanke and Carey 1996; Christiano, Eichenbaum, and Evans 2005). Supporters point out that the U.S. economy grew robustly during the last third of the 19th century, despite frequent deflation and a flawed banking system that was susceptible to periodic crises. They note wages and prices adjusted swiftly to the 1921 deflation, allowing a quick recovery. Countries with more stable banking systems, such as Canada, did even better. The big bone of contention is whether the Great Depression should be blamed on the gold standard or meddlesome government policies (see Cole and Ohanian 2004). My own research suggests the answer is both (see Silver and Sumner 1995). I do see some weaknesses in the arguments put forth by advocates of the gold standard. It is true that some of the worst outcomes were accompanied by unfortunate government intervention, particularly during the 1930s (see Cassel 1936 and Hawtrey 1947). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,035
Tête enseignante GPT0,216
Écart entre enseignants0,182 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations63
Publié2014
Routes d'admission1
Résumé présentoui

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