UKERC Review of evidence for the rebound effect: Technical report 2: Econometric studies

This Working Paper examines the evidence for direct rebound effects that is available from studies that use econometric techniques to analyse secondary data. The focus throughout is on consumer energy services, since this is where the bulk of the evidence lies

UKERC Review of evidence for the rebound effect: Technical report 5: Energy, productivity and economic growth studies

This report forms part of the TPA’s assessment of evidence for a rebound effect from improved energy efficiency. Technical Report 5 focuses upon the relationship between energy, productivity and economic growth and examines the claim that improved energy efficiency will increase economy-wide energy consumption - the so-called ‘Khazzoom-Brookes postulate’

Estimating Underlying Energy Demand Trends using UK Annual Data

Employing the Structural Time Series Model (STSM) approach suggested by Harvey (1989, 1997), and based on annual data for the UK from 1967-2002, this paper reiterates the importance of using a stochastic rather than a linear deterministic trend formulation when estimating energy demand models, a practice originally established by Hunt et al. (2003a,b) using quarterly UK data. The findings confirm that important non-linear and stochastic trends are present as a result of technical change and other exogenous factors driving demand, and that a failure to account for these trends will lead to biased estimates of the long-run price and income elasticities. The study also establishes that, provided these effects are allowed for, the estimated long-run elasticities are robust to the different data frequencies used in the modelling.Energy Demand, Underlying Trends.

Unanswered questions in prostate cancer : Findings of an international multi-stakeholder consensus by the PIONEER Consortium

Acknowledgements PIONEER is funded through the IMI2 Joint Undertaking and is listed under grant agreement No. 777492. This joint under- taking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.Peer reviewedPostprin

PDBe: Protein Data Bank in Europe

The Protein Data Bank in Europe (PDBe) (http://www.ebi.ac.uk/pdbe/) is actively working with its Worldwide Protein Data Bank partners to enhance the quality and consistency of the international archive of bio-macromolecular structure data, the Protein Data Bank (PDB). PDBe also works closely with its collaborators at the European Bioinformatics Institute and the scientific community around the world to enhance its databases and services by adding curated and actively maintained derived data to the existing structural data in the PDB. We have developed a new database infrastructure based on the remediated PDB archive data and a specially designed database for storing information on interactions between proteins and bound molecules. The group has developed new services that allow users to carry out simple textual queries or more complex 3D structure-based queries. The newly designed ‘PDBeView Atlas pages’ provide an overview of an individual PDB entry in a user-friendly layout and serve as a starting point to further explore the information available in the PDBe database. PDBe’s active involvement with the X-ray crystallography, Nuclear Magnetic Resonance spectroscopy and cryo-Electron Microscopy communities have resulted in improved tools for structure deposition and analysis

Stochastic trend analysis of annual UK energy demand functions by sector: a comparison with cointegration methods

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