kernel_econ_alignment

Setup

conda create -n kernels python=3.11
conda activate kernels
pip install -r requirements.txt
conda install -c conda-forge ipopt=3.11.1

If you have trouble with that, try conda install -c conda-forge ipopt=3.11.1

• Then you will need to activate it with conda activate kernels.
• Then when using vscode, consider >Python: Select Interpreter to select the kernels environment.
• If the debugger isn't working in that case, sometimes setting the vscode terminal.integrated.shellIntegration.enabled: true in the settings can help

Example Usage

The individual files support CLI arguments. To pick specific points rather than the linspace grid, pass in --train_points_list as below

python neoclassical_growth_matern.py
python neoclassical_growth_matern.py --train_points=5
python neoclassical_growth_matern.py --rho=5.0
python neoclassical_growth_matern.py --train_points_list="[0.0,2.0,5.0,10.0,20.0]"
python neoclassical_growth_matern.py --train_points=20 --train_T=10.0 --test_T=10.0 --k_0=0.5

These functions can also be imported and called directly, for example,

from neoclassical_growth_matern import neoclassical_growth_matern
sol = neoclassical_growth_matern(rho=10.0)
print(sol["c_rel_error"].mean())