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Add new Job Search V lecture on risk-sensitive preferences
This commit adds a new lecture on risk-sensitive preferences in the job
search context, positioned after the fitted VFI lecture. The lecture
introduces entropic risk-adjusted expectations and applies them to the
McCall search model.
Changes:
- Add mccall_risk.md: New lecture on risk-sensitive preferences
- Update _toc.yml: Insert mccall_risk after mccall_fitted_vfi
- Renumber subsequent lectures (V→VI, VI→VII, VII→VIII, VIII→IX, IX→X)
- mccall_persist_trans: V → VI
- career: VI → VII
- jv: VII → VIII
- odu: VIII → IX
- mccall_q: IX → X
Key features of the new lecture:
- Introduction to risk-sensitive preferences via entropic risk measure
- Examples with Gaussian and Beta distributions
- Mean-preserving spread analysis
- Application to McCall job search model with risk aversion
- Analysis of reservation wages and unemployment rates vs risk aversion
- All code verified to run successfully with JAX
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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