hark
https://github.com/econ-ark/hark
Python
Heterogenous Agents Resources & toolKit
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- Issues
- Add NewbornPermShk, and give Markov newborns their own state's mean transitory income
- Keep the true bounds in a discretized distribution's limit
- Add a JAX backend to LinearInterp and BilinearInterp
- Extend the JAX backend to the interpolators built from other functions
- Discount the risk-modified FVAC factor by survival
- ConsMarkovModel: hNrm omits the MPCmin weights
- Weight Markov human wealth by MPCmin**(-CRRA)
- Make max_cycles in solve_agent settable, or warn when it binds
- Proposal: keep the classic tools simple, put the new-generation capabilities in a designated tier
- The Jacobian tools follow the agent's choice of economy: stationary or secular, set by PermGroFacAgg
- Docs
- Python not yet supported