970 resultados para inflation cible


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This paper studies monetary policy in an economy where the central banker's preferences are asymmetric around optimal inflation. In particular, positive deviations from the optimum can be weighted more, or less, severely than negative deviations in the policy maker's loss function. It is shown that under asymmetric preferences, uncertainty can induce a prudent behavior on the part of the central banker. Since the prudence motive can be large enough to override the inflation bias, optimal monetary policy could be implemented even in the absence of rules, reputation, or contractual mechanisms. For certain parameter values, a deflationary bias can arise in equilibrium.

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Cet Article Se Divise En Trois Sections: la Premiere Contient une Critique de Certains Post-Keynesiens, Notamment Americains, Concernant Leur Hypothese de la Rigidite du Markup Dans la Relation Prix-Salaires. Contrairement a Kalecki Qui Admettait Volontiers la Flexibilite du Markup Face a la Rigidite des Prix et des Salaires, on Demontre Que la Position des Post-Keynesiens Americains N'est Qu'une Variante de L'approche Monetariste. la Deuxieme Section Contient une Generalisation de L'hypothese de la Variabilite du Markup Causee Par Tous les Facteurs de Production, Notamment la Variabilite Provenant des Mouvements de Capital Reel et Financier. En Utilisant les Donnees Annuelles Pour L'ensemble des Industries Canadienne Entre 1973 et 1982, on Estime Dans la Derniere Section Que les Couts Salariaux au Canada Ne Sont Responsables Que de 16% de L'inflation au Cours de la Derniere Decennie Alors Que les Couts du Capital Reel et Financier Compte Pour 84% de la Hausse des Prix.

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À l’aide d’un modèle de cycles réels, la présente étude vise à expliquer, de façon endogène, les fluctuations des termes de l’échange en Côte-d’Ivoire. Pour ce faire, nous cherchons principalement à répondre aux deux questions suivantes : les chocs d’offre et de demande sur le marché d’exportation suffisent-ils à expliquer les variations des termes de l’échange? Et quelle est leur importance relative dans la dynamique des termes de l’échange? Les résultats montrent que les deux chocs considérés expliquent bien la volatilité des termes de l’échange. Nous avons noté que ces deux sources d’impulsions ont un impact significatif sur les fluctuations économiques en Côte-d’Ivoire.

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This paper examines the effectiveness of CFA franc devaluation in Benin. Our results show that the nominal devaluation generate a real exchange depreciation, thanks to strict anti-inflation measures implemented.

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This paper develops a model of money demand where the opportunity cost of holding money is subject to regime changes. The regimes are fully characterized by the mean and variance of inflation and are assumed to be the result of alternative government policies. Agents are unable to directly observe whether government actions are indeed consistent with the inflation rate targeted as part of a stabilization program but can construct probability inferences on the basis of available observations of inflation and money growth. Government announcements are assumed to provide agents with additional, possibly truthful information regarding the regime. This specification is estimated and tested using data from the Israeli and Argentine high inflation periods. Results indicate the successful stabilization program implemented in Israel in July 1985 was more credible than either the earlier Israeli attempt in November 1984 or the Argentine programs. Government’s signaling might substantially simplify the inference problem and increase the speed of learning on the part of the agents. However, under certain conditions, it might increase the volatility of inflation. After the introduction of an inflation stabilization plan, the welfare gains from a temporary increase in real balances might be high enough to induce agents to raise their real balances in the short-term, even if they are uncertain about the nature of government policy and the eventual outcome of the stabilization attempt. Statistically, the model restrictions cannot be rejected at the 1% significance level.

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In this paper, we test a version of the conditional CAPM with respect to a local market portfolio, proxied by the Brazilian stock index during the 1976-1992 period. We also test a conditional APT model by using the difference between the 30-day rate (Cdb) and the overnight rate as a second factor in addition to the market portfolio in order to capture the large inflation risk present during this period. The conditional CAPM and APT models are estimated by the Generalized Method of Moments (GMM) and tested on a set of size portfolios created from a total of 25 securities exchanged on the Brazilian markets. The inclusion of this second factor proves to be crucial for the appropriate pricing of the portfolios.

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Recent work shows that a low correlation between the instruments and the included variables leads to serious inference problems. We extend the local-to-zero analysis of models with weak instruments to models with estimated instruments and regressors and with higher-order dependence between instruments and disturbances. This makes this framework applicable to linear models with expectation variables that are estimated non-parametrically. Two examples of such models are the risk-return trade-off in finance and the impact of inflation uncertainty on real economic activity. Results show that inference based on Lagrange Multiplier (LM) tests is more robust to weak instruments than Wald-based inference. Using LM confidence intervals leads us to conclude that no statistically significant risk premium is present in returns on the S&P 500 index, excess holding yields between 6-month and 3-month Treasury bills, or in yen-dollar spot returns.

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In this paper, we test a version of the conditional CAPM with respect to a local market portfolio, proxied by the Brazilian stock index during the 1976-1992 period. We also test a conditional APT model by using the difference between the 30-day rate (Cdb) and the overnight rate as a second factor in addition to the market portfolio in order to capture the large inflation risk present during this period. the conditional CAPM and APT models are estimated by the Generalized Method of Moments (GMM) and tested on a set of size portfolios created from a total of 25 securities exchanged on the Brazilian markets. the inclusion of this second factor proves to be crucial for the appropriate pricing of the portfolios.

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Cette communication situe la théorie des grands cycles économiques dans le contexte général des économies de marché. Il y est postulé que le cycle financier et économique international de longue période (50-60 ans) n'est pas une aberration statistique, mais est le résultat de conditions institutionnelles, politiques, financières et économiques récurrentes dans l'économie mondiale. Il y est proposé comme hypothèse que la source des cycles financiers et économiques de longue durée origine d'un déréglement monétaire, lequel met en marche un processus auto-généré de sur-endettement, d'inflation des actifs financiers, de sur-investissement généralisé dans les équipements et de sur-production. Ce processus se résorbe par une liquidation des dettes, une déflation monétaire et par une contraction de l'activité économique, pouvant résulter en une récession alongée ou une dépression économique. L'information imparfaite et l'asymétrie dans l'information expliquent les erreurs de décisions des firmes à différentes périodes du grand cycle économique. Les chocs qui provoquent ces erreurs peuvent être géopolitiques (guerres), économiques, monétaires ou financiers. Les guerres sont des facteurs déclencheurs du grand cycle d'inflation-désinflation-déflation. (Communication pour le 53ème congrès de l'Association Internationale des économistes de langue française AIELF, Athènes mai 2003)

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We propose methods for testing hypotheses of non-causality at various horizons, as defined in Dufour and Renault (1998, Econometrica). We study in detail the case of VAR models and we propose linear methods based on running vector autoregressions at different horizons. While the hypotheses considered are nonlinear, the proposed methods only require linear regression techniques as well as standard Gaussian asymptotic distributional theory. Bootstrap procedures are also considered. For the case of integrated processes, we propose extended regression methods that avoid nonstandard asymptotics. The methods are applied to a VAR model of the U.S. economy.

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This paper studies the transition between exchange rate regimes using a Markov chain model with time-varying transition probabilities. The probabilities are parameterized as nonlinear functions of variables suggested by the currency crisis and optimal currency area literature. Results using annual data indicate that inflation, and to a lesser extent, output growth and trade openness help explain the exchange rate regime transition dynamics.

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This paper studies the interdependence between fiscal and monetary policies, and their joint role in the determination of the price level. The government is characterized by a long-run fiscal policy rule whereby a given fraction of the outstanding debt, say d, is backed by the present discounted value of current and future primary surpluses. The remaining debt is backed by seigniorage revenue. The parameter d characterizes the interdependence between fiscal and monetary authorities. It is shown that in a standard monetary economy, this policy rule implies that the price level depends not only on the money stock, but also on the proportion of debt that is backed with money. Empirical estimates of d are obtained for OECD countries using data on nominal consumption, monetary base, and debt. Results indicate that debt plays only a minor role in the determination of the price level in these economies. Estimates of d correlate well with institutional measures of central bank independence.

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This paper derives optimal monetary policy rules in setups where certainty equivalence does not hold because either central bank preferences are not quadratic, and/or the aggregate supply relation is nonlinear. Analytical results show that these features lead to sign and size asymmetries, and nonlinearities in the policy rule. Reduced-form estimates indicate that US monetary policy can be characterized by a nonlinear policy rule after 1983, but not before 1979. This finding is consistent with the view that the Fed's inflation preferences during the Volcker-Greenspan regime differ considerably from the ones during the Burns-Miller regime.

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We propose an alternate parameterization of stationary regular finite-state Markov chains, and a decomposition of the parameter into time reversible and time irreversible parts. We demonstrate some useful properties of the decomposition, and propose an index for a certain type of time irreversibility. Two empirical examples illustrate the use of the proposed parameter, decomposition and index. One involves observed states; the other, latent states.

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Statistical tests in vector autoregressive (VAR) models are typically based on large-sample approximations, involving the use of asymptotic distributions or bootstrap techniques. After documenting that such methods can be very misleading even with fairly large samples, especially when the number of lags or the number of equations is not small, we propose a general simulation-based technique that allows one to control completely the level of tests in parametric VAR models. In particular, we show that maximized Monte Carlo tests [Dufour (2002)] can provide provably exact tests for such models, whether they are stationary or integrated. Applications to order selection and causality testing are considered as special cases. The technique developed is applied to quarterly and monthly VAR models of the U.S. economy, comprising income, money, interest rates and prices, over the period 1965-1996.