A<b> </b>new short-term probabilistic forecasting method is proposed to predict the probability density function of the hourly active power generated by a photovoltaic system. Firstly, the probability density function of the hourly clearness index is forecasted making use of a Bayesian auto regressive...

The following BN focuses on how to identify costs related to the first exposure category: people. This is based on the methodology of Defra (2009) and further developed with Penning Roswell et al. (2005), Department of transport UK (2007), OECD (2012). Hazard (H) is described with the light blue...

Flood risk assessment usually focuses on damages to material objects (indirect tangible costs) and downplays the broader socio-economic aspects of flood-prone systems. Such aspects are crucial for an accurate assessment of risk to human receptors and of the benefits of non-structural measures....

The impact finance market has sought to 'internalise externalities and adjust risk perceptions' (G20 Green Finance Study Group, 2016), demonstrating the private sector's capability in resolving the climate free-rider problem through the 'greening' of economic activities, partially bypassing...

We argue that the failure to disentangle the evolution of the Canadian currency from the U.S. currency leads to potentially incorrect conclusions regarding the case of Dutch disease in Canada. We propose a new approach that is aimed at extracting both currency components and energy- and...

We argue that the failure to disentangle the evolution of the Canadian currency and energy and commodity prices from the US currency leads to potential wrong conclusions regarding the case of a Dutch disease in Canada. We propose a new approach aimed at extracting currency components and energy...

We develop a theoretical model in which technology adoption decisions are based on the information received from others about the quality of a new technology and on their risk attitudes. We test the predictions of this model using a randomized field experiment in Bangladesh. We show that the...

Understanding how internal labour migration affects the agricultural sector is important for all developing countries whose markets do not work well or are non-existent. In fact, even if the movement out of the agricultural sector can be viewed as a process to reach development for many African...

Temporal climate risk weighs heavily on many of the world’s poor. Model-based climate forecasts could benefit such populations, provided recipients use forecast information to update climate expectations. We test whether pastoralists in southern Ethiopia and northern Kenya update their...

We argue that the failure to disentangle the evolution of the Canadian currency from the U.S. currency leads to potentially incorrect conclusions regarding the case of Dutch disease in Canada. We propose a new approach that is aimed at extracting both currency components and energy- and...