To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a...

Using an extension of general-to-specific modelling, based on the recent developments of impulse-indicator saturation (IIS), we consider selecting significant step indicators from a saturating set to capture location shifts.  The approximate non-centrality of the test is derived for a variety...

This timely Handbook reviews many key issues in the economics of energy and climate change, raising new questions and offering solutions that might help to minimize the threat of energy-induced climate change.

We demonstrate major flaws in the statistical analysis of Beenstock, Reingewertz and Paldor (2012), discrediting their initial claims as to the different degrees integrability of CO2 and temperature.

We identify anthropogenic contributions to atmospheric CO2 measured at Mauna Loa using a statistical automatic model selection algorithm (Autometrics).  We find that vegetation, temperature and other natural factors alone cannot explain the trend or the variation in CO2 growth.  Industrial...

To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a...

Policymakers combine many different policy tools to achieve emission reductions. However, there remains substantial uncertainty around which mixes of policies are effective. This uncertainty stems from the predominant focus of ex post policy evaluation on isolating effects of single, known...