No abstract

This paper analyses the aggregate relationships between traffic accidents and real economic activity in Spain during the last 30 years. Our general approach is based on two basic assumptions: (1) the number of accidents depends on the use of cars and other exogenous variables, and (2) the level of economic activity affects variation in the stock of cars, as well as degree of utilization. We propose a novel turning point characterization for monthly seasonal data that allows to check whether economic and road accident cycles coincide and, to date the beginning and end of their respective cycles. Empirical results from this section are important in establishing posterior causal models and whether or not economic activity and road accidents have a common component in the long run and a varying lead-lag relationship, depending on the cycles. These models will be the basis to check when Spain will achieve the European Union figures in terms of the fatalities/accidents ratio under different scenarios. Empirical results as well as historical experiences from other European countries proved that reducing fatalities is not only a question of diminishing accidents rates.

We propose a new framework for building composite leading indicators for the Spanish economy using monthly targeted predictors and small-scale dynamic factor models. Our leading indicator index, based on the low-frequency components of four monthly economic variables, is able to predict the onset of the Spanish recessions as well as the gross domestic product (GDP) growth cycles and classical industrial production cycles, both historically and in real time. Also, our leading indicator provides substantial aid in forecasting annual and quarterly GDP growth rates. Using only real data available at the beginning of each forecast period, our indicator one-step-ahead forecasts shows substantial improvements over other alternatives.

No abstract

We present a composite coincident indicator designed to capture the state of the Spanish economy. Our approach, based on smooth trends, guarantees that the resulting indicators are reasonably smooth and issue stable signals, reducing the uncertainty. The coincident indicator has been checked by comparing it with the one recently proposed by the Spanish Economic Association index. Both indexes show similar behavior and ours captures very well the beginning and end of the official recessions and expansion periods. Our coincident indicator also tracks very well alternative mass media indicators typically used in the political science literature. We also update our composite leading indicator (Bujosa, García-Ferrer, and de Juan, 2013). It systematically predicts the peaks and troughs of the new Spanish Economic Association index and provides significant aid in forecasting annual GDP growth rates. Using only real data available at the beginning of each forecast period, our indicator one step-ahead forecasts shows improvements over other individual alternatives and different forecast combinations.