In this paper we examine the features of the US wage Phillips curve over different time horizons analyzing the original Phillips’ specification on a scale-by-scale basis with data transformed by wavelet and band-pass filtering methods. Our results provide compelling evidence that the wage...

Trade is a critical component of economic growth in newly settled societies. This paper tests the impact of ship traffic on the Cape economy using a time series smoothing technique borrowed from the business cycle literature and employing an econometric procedure to test for long-run...

This article provides new insights into the cyclical behavior of consumer and producer real wages in the USA and Germany. We apply two methods for the estimation of the cyclical components from the data: the approach based on the structural time series models and the ARIMA-model-based approach...

This paper continues discussion on the issue of time series decomposition by presentation of the Empirical Mode Decomposition technique. This technique outperforms well-known time-series filters by providing a deeper insight into the structure of time series.

In the following article the ideal band-pass filter is derived and explained in order to subsequently analyze the approximations by Baxter and King (1999) and Christiano and Fitzgerald (2003). It can be shown that the filters by Baxter and King and Christiano and Fitzgerald primarily differ in...

This article calculates the sectoral and industrial business cycles by means of the band-pass filters by Baxter and King (1999) and Christiano and Fitzgerald (2003), to subsequently analyze the correlations between the sectors and industries and the overall economy. It can be shown that the...

This paper presents novel analyses of high-resolution wind power and electric system load time series data. We use a discrete wavelet transform to resolve the data into independent time series of step changes (deltas) at different time scales, and present a variety of statistical metrics as a...

In this paper, we use wavelet analysis to investigate the cyclical comovements between crude oil prices and US GDP, taking into account the decline in the volatility of US GDP growth that has occurred since the mid-1980s.

We provide a signal modality analysis to characterize and detect nonlinearity schemes in the US Industrial Production Index time series. The analysis is achieved by using the recently proposed "delay vector variance" (DVV) method, which examines local predictability of a signal in the phase...

We construct a framework for measuring economic activity at high frequency, potentially in real time. We use a variety of stock and flow data observed at mixed frequencies (including very high frequencies), and we use a dynamic factor model that permits exact filtering. We illustrate the...