This paper presents a system of greenhouse gas indicators for markets and policymakers. The system is lean and informative. It condenses the relevant product and enterprise-specific information into a single number: the greenhouse gas (GHG) value. Like prices, GHG values are easy to understand,...

Meta-learning empowers artificial intelligence to increase its efficiency by learning how to learn. Unlocking this potential involves overcoming a challenging metaoptimisation problem. We propose an algorithm that tackles this problem by letting the meta-learner teach itself. The algorithm first...

This paper studies asymptotic theory for a nonstationary panel autoregressive model when cross-sectional dimension (n) and time dimension (T) are large. We considers the nonstationary case in the presence of both cross-sectional and time fixed effects, which is not investigated in existing...

This paper studies asymptotic theory for a nonstationary panel autoregressive model when cross-sectional dimension (n) and time dimension (T) are large. We considers the nonstationary case in the presence of both cross-sectional and time fixed effects, which is not investigated in existing...