We investigate the determinants of renewable energy R&D intensity and the impact of renewable energy innovations on firm performance, using several dynamic panel data models. We estimate these models using a large data set of European firms from 19 different countries, with some patenting...

This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets might be efficient) or alternatively I(d) with...

A new automatic method based on the wavelet and Hilbert transforms for measuring the motor unit action potential (MUAP) duration is presented in this work. A total of 182 MUAPs from two different muscles were analysed. The average MUAP waveform was wavelet-transfomed, and a particular scale of...

We propose a theoretical method to catch politicians' fiscal attitude concerning deficits and debt based on the analysis of the political discourse. We describe the methodological steps used to obtain it. The methodology is applied to the case of US President during the period 1920 to 2008. The...

This paper analyses airline accidents data from 1927-2006. The fractional integration methodology is adopted. It is shown that airline accidents are persistent and (fractionally) cointegrated with airline traffic. Thus, there exists an equilibrium relation between air accidents and airline...

This paper deals with the estimation of time trends in temperature anomaly series. However, instead of imposing that the estimated residuals from the time trends are I(0) stationary, we allow them to be fractionally integrated. In this context, a new procedure for testing fractional integration...

This paper deals with the analysis of the monthly structure of sunspot numbers using a new technique based on cyclical long range dependence. The results show that sunspot numbers have a periodicity of 130 months, but more importantly, that the series is highly persistent, with an order of...

We estimate a New-Keynesian macro model accommodating regime-switching behavior in monetary policy and in macro shocks. Key to our estimation strategy is the use of survey-based expectations for inflation and output. Output and inflation shocks shift to the low volatility regime around 1985 and...