Information Content of Money in Forecasting Euro Area Inflation.

By: Stavrev, EmilContributor(s): Berger, HelgeMaterial type: TextTextSeries: IMF Working PapersPublisher: Washington : International Monetary Fund, 2008Copyright date: ©2008Description: 1 online resource (31 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781451914771Subject(s): Inflation (Finance) -- Forecasting -- Econometric models | Monetary policy -- Econometric models | Money -- Econometric modelsGenre/Form: Electronic books.Additional physical formats: Print version:: Information Content of Money in Forecasting Euro Area InflationDDC classification: 332.46 LOC classification: HG230.3 -- .B474 2008ebOnline resources: Click to View
Contents:
Intro -- Contents -- I. Introduction -- II. Related Literature -- III. Models of Inflation -- A. DSGE Models -- B. Partial Equilibrium Models -- C. Empirical Models -- IV. Empirical Methods and Data -- A. Estimation Techniques -- B. Prior Distribution of Parameters for the Bayesian Estimates -- C. Forecasting and the Information Content of Money -- D. Data -- V. Results -- A. The Marginal Contribution of Money -- B. Comparison of Money-Based Models -- C. Comparison Across All Models -- VI. Conclusions -- Figures -- 1. Forecast Performance of DSGE Models -- 2. Forecast Performance of Empirical Models -- 3. Forecast Performance of P* and Phillips Curve Models -- Tables -- 1. Out-of-Sample Forecasting Performance of Models -- References -- Appendices -- I. Empirical Specifications -- II. Bayesian Priors.
Summary: This paper contributes to the debate on the role of money in monetary policy by analyzing the information content of money in forecasting euro-area inflation. We compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using Bayesian and other estimation techniques. We find that money contains relevant information for inflation in some model classes. Money-based New Keynesian DSGE models and VARs incorporating money perform better than their cashless counterparts. But there are also indications that the contribution of money has its limits. The marginal contribution of money to forecasting accuracy is often small, money adds little to dynamic factor models, and it worsens forecasting accuracy of partial equilibrium models. Finally, non-monetary models dominate monetary models in an all-out horserace.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
No physical items for this record

Intro -- Contents -- I. Introduction -- II. Related Literature -- III. Models of Inflation -- A. DSGE Models -- B. Partial Equilibrium Models -- C. Empirical Models -- IV. Empirical Methods and Data -- A. Estimation Techniques -- B. Prior Distribution of Parameters for the Bayesian Estimates -- C. Forecasting and the Information Content of Money -- D. Data -- V. Results -- A. The Marginal Contribution of Money -- B. Comparison of Money-Based Models -- C. Comparison Across All Models -- VI. Conclusions -- Figures -- 1. Forecast Performance of DSGE Models -- 2. Forecast Performance of Empirical Models -- 3. Forecast Performance of P* and Phillips Curve Models -- Tables -- 1. Out-of-Sample Forecasting Performance of Models -- References -- Appendices -- I. Empirical Specifications -- II. Bayesian Priors.

This paper contributes to the debate on the role of money in monetary policy by analyzing the information content of money in forecasting euro-area inflation. We compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using Bayesian and other estimation techniques. We find that money contains relevant information for inflation in some model classes. Money-based New Keynesian DSGE models and VARs incorporating money perform better than their cashless counterparts. But there are also indications that the contribution of money has its limits. The marginal contribution of money to forecasting accuracy is often small, money adds little to dynamic factor models, and it worsens forecasting accuracy of partial equilibrium models. Finally, non-monetary models dominate monetary models in an all-out horserace.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

There are no comments on this title.

to post a comment.

Powered by Koha