To evaluate the price forecasts, we use two data frequencies i.e., annual and quarter with two most demanding techniques, i.e., ARIMA and VAR models to forecast the four index of inflation, named, Consumer Price Index (CPI), Wholesale Price Index (WPI), GNP Price Deflator (GNPPD), and Implicit...

I present evidence that higher frequency measures of inflation expectations outperform lower frequency measures of inflation expectations in tests of accuracy, predictive power, and rationality. For decades, the academic literature has focused on three survey measures of expected inflation: the...

For decades, the academic literature has focused on three survey measures of expected inflation: the Livingston Survey, the Survey of Professional Forecasters, and the Michigan Survey. While these measures have been useful in developing models of forecasting inflation, the data are low frequency...

The Swedish economy is strongly dependent on global economic developments, which is re‡ected in generally strong empirical relationships between Swedish and foreign macroeconomic variables. It is, however, diffi cult for standard open-economy dynamic stochastic general equilibrium (DSGE)...

The Swedish economy is strongly dependent on global economic developments, which is re ected in generally strong empirical relationships between Swedish and foreign macroeconomic variables. It is, however, diffi cult for standard open-economy dynamic stochastic general equilibrium (DSGE) models...

This paper aims to investigate whether the effect of inflation expectations, exchange rate, money supply, industrial production and import prices on inflation depends on business cycle. For this purpose, a two states Markov Switching Auto Regression model with time varying transition...

Business cycles are a central element of the economy. Over the last decades, more and more sophisticated methods and data have become available for business cycle classification. This paper contributes to the field of business cycle and recession estimation by applying a fuzzy c-means clustering...

In this article we evaluate the Central Bank of Chile annual GDP growth forecasts during the period 1991-2009 using a novel real-time database. We compare the Central Bank of Chile forecasts with those of the Survey of Professional Forecasters (SPF), Consensus Forecasts, and simple time-series...

We evaluate inflation forecasts from the Survey of Professional Forecasters (SPF) of the Central Bank of Chile. Forecast errors for the period 2000-2008 show an excess of autocorrelation and a statistically significant bias at the end of the sample. We take advantage of the bias and...

En este trabajo se analiza la importancia relativa de los shocks de demanda y de oferta en los países del G7 más España y Suiza, mediante la técnica de los modelos VAR estructurales. Al encontrarse una relación de cointegración entre PIB e in.ación, se estima un modelo VECM para cada...