1.

Record Nr.

UNINA9910819865003321

Autore

Kumah Francis

Titolo

The Role of Seasonality and Monetary Policy in Inflation Forecasting / / Francis Kumah

Pubbl/distr/stampa

Washington, D.C. : , : International Monetary Fund, , 2006

ISBN

1-4623-7502-2

1-4519-8330-1

1-282-55824-2

1-4519-8710-2

9786613822376

Edizione

[1st ed.]

Descrizione fisica

1 online resource (27 p.)

Collana

IMF Working Papers

Soggetti

Inflation (Finance) - Forecasting

Monetary policy

Consumer price indexes

Consumer prices

Currency

Deflation

Economic Forecasting

Economic forecasting

Exchange rates

Forecasting and Other Model Applications

Forecasting

Foreign Exchange

Foreign exchange

Inflation

Macroeconomics

Price indexes

Price Level

Prices

Kyrgyz Republic

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"July 2006".



Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

""Contents""; ""I. INTRODUCTION""; ""II. INFLATION AND MONETARY POLICY IN THE KYRGYZ REPUBLIC""; ""III. SEASONAL CHARACTERISTICS OF CONSUMER PRICES""; ""IV. MODELING AND FORECASTING INFLATION""; ""V. CONCLUDING REMARKS""; ""References""; ""Appendix. Further Empirical Results""

Sommario/riassunto

Adequate modeling of the seasonal structure of consumer prices is essential for inflation forecasting. This paper suggests a new econometric approach for jointly determining inflation forecasts and monetary policy stances, particularly where seasonal fluctuations of economic activity and prices are pronounced. In an application of the framework, the paper characterizes and investigates the stability of the seasonal pattern of consumer prices in the Kyrgyz Republic and estimates optimal money growth and implied exchange rate paths along with a jointly determined inflation forecast. The approach uses two broad specifications of an augmented error-correction model-with and without seasonal components. Findings from the paper confirm empirical superiority (in terms of information content and contributions to policymaking) of augmented error-correction models of inflation over single-equation, Box-Jenkins-type general autoregressive seasonal models. Simulations of the estimated errorcorrection models yield optimal monetary policy paths for achieving inflation targets and demonstrate the empirical significance of seasonality and monetary policy in inflation forecasting.