Property:HasAnticipation

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This is a property of type Text.

Showing 16 pages using this property.
E
The ENV-Linkages model is a recursive dynamic neo-classical general equilibrium model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise.  +
G
GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.  +
GCAM-KSA is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.  +
Global social planner with perfect foresight  +
I
Myopic  +
Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions.  +
Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions.  +
Simulation modelling framework, without foresight. However, a simplified version of the energy/climate part of the model (called FAIR) can be run prior to running the framework to obtain data for climate policy simulations.  +
Forward looking  +
M
MERGE-ETL acts as a rational global social planner with perfect foresight to maximize the global welfare.  +
P
Myopic  +
The PRIMES model is fully dynamic and has options regarding future anticipation by agents in decision-making. Usually, PRIMES assumes perfect foresight over a short time horizon for demand sectors and perfect foresight over a long time horizon for supply sectors. The sub-models solve over the entire projection period in each cycle of interaction between demand and supply and so market equilibrium is dynamic and not static. Other options are available allowing the model user to specify shorter time horizons for foresight.  +
Energy system simulation.Foresight is included only is some sub-modules (i.e. electricity generation)  +
R
The optimization of the transformation path assumes perfect foresight, while the underlying simulation of energy system operation is based on a 24-hour forecast with uncertainties.  +
T
Perfect or myopic foresight  +
Perfect Foresight (Stochastic and myopic runs are also possible)  +