This paper investigates the consistency of asymmetric interest rate past-trough (IRPT) using a nonlinear autoregressive distributed lag framework. Superior to the previous studies, this study exploits the historical profile of Indonesia to enrich the analysis. Asian Financial Crisis (AFC) which...

This study compares the performance of GARCH-Type models in modelling inflation volatility in Nigeria covering the period 1995M01 to 2016M10. In the paper, we provide two main innovations: (i) we analyze inflation rate of two pronounced consumer prices indices namely headline and core consumer...

We propose a new method for medium-term forecasting using exogenous information. We first show how a shifting-mean autoregressive model can be used to describe characteristic features in inflation series. This implies that we decompose the inflation process into a slowly moving nonstationary...

This paper reports a two-stage analysis of inflation persistence using monthly data from 11 IT countries and, for comparison, the US, a non IT country with a history of credible monetary policy. First, we estimate inflation persistence in a rolling-window fractional integration setting using the...

We assess the efficiency of monetary policy to guide inflation expectations in high and low regimes. Using quantile regression we analyze the persistence of inflation expectations from the Consensus Economics Survey at different quantiles. We find a) empirical evidence that expectations are not...

We revisit time-variation in the Phillips curve, applying new Bayesian panel methods with breakpoints to US and European Union disaggregate data. Our approach allows us to accurately estimate both the number and timing of breaks in the Phillips curve. It further allows us to determine the...

We propose a new method for medium-term forecasting using exogenous information. We first show how a shifting-mean autoregressive model can be used to describe characteristic features in inflation series. This implies that we decompose the inflation process into a slowly moving nonstationary...

We propose a theoretical framework for assessing whether a forecast model estimated over one period can provide good forecasts over a subsequent period. We formalize this idea by defining a forecast breakdown as a situation in which the out-of-sample performance of the model, judged by some loss...

In the paper we propose a new methodological approach to core in- flation estimation, based on a frequency domain principal components estimator, suited to estimate systems of fractionally cointegrated processes. The proposed core inflation measure is the scaled common persistent factor in...

To date, there has been little investigation of the impact of seasonal adjustment on the detection of business cycle expansion and recession regimes. We study this question both analytically and through Monte Carlo simulations. Analytically, we view the occurrence of a single business cycle...