Polar amplification in a moist energy balance model: a structural econometric approach to estimation and testing
From MaRDI portal
Publication:6664667
DOI10.1016/j.jeconom.2024.105885MaRDI QIDQ6664667
William A. Brock, J. Isaac Miller
Publication date: 16 January 2025
Published in: Journal of Econometrics (Search for Journal in Brave)
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
- An atmosphere-ocean time series model of global climate change
- Statistical analysis of cointegration vectors
- Probability assessments of an ice-free Arctic: comparing statistical and climate model projections
- A benchmark model for fixed-target Arctic sea ice forecasting
- Trends in distributional characteristics: existence of global warming
- A multicointegration model of global climate change
- Econometric modelling of climate systems: the equivalence of energy balance models and cointegrated vector autoregressions
- Evaluating trends in time series of distributions: a spatial fingerprint of human effects on climate
- Tipping elements in the Earth's climate system
- Optimal Inference in Cointegrated Systems
- Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
- Identifying, estimating and testing restricted cointegrated systems: An overview
- Co-Integration and Error Correction: Representation, Estimation, and Testing
- Error Correction and Long-Run Equilibrium in Continuous Time
- Optimal Taxes on Fossil Fuel in General Equilibrium
- When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume
- Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications
- Beyond RCP8.5: marginal mitigation using quasi-representative concentration pathways
This page was built for publication: Polar amplification in a moist energy balance model: a structural econometric approach to estimation and testing
