Add Job Search V lecture on risk-sensitive preferences#760
Add Job Search V lecture on risk-sensitive preferences#760
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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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@mmcky Would you mind to get this building? Then perhaps we can ask someone to review before it's merged. |
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Will do @jstac
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- Convert first exercise from backtick to MyST curly brace syntax - Add labels to both exercises (mcr_ex0, mcr_ex1) - Add exercise references to solution-start directives - Add dropdown class to solutions for consistency - Ensure all exercise/solution pairs are properly matched
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@jstac do you use |
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Please remove all @mmcky , I never edit in ipynb if I can avoid it! |
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📖 Netlify Preview Ready! Preview URL: https://pr-760--sunny-cactus-210e3e.netlify.app (dd4ac64) 📚 Changed Lecture Pages: career, jv, mccall_persist_trans, mccall_q, mccall_risk, odu |
I will add this to https://github.com/QuantEcon/action-style-guide |
Thanks @mmcky ! Please add hide output to the pip install. Please also cut as well as |
- Add :tags: [hide-output] to pip install cell - Remove print statements from Beta distribution example - Remove print loops for reservation wage values - Remove print loops for unemployment rate values
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📖 Netlify Preview Ready! Preview URL: https://pr-760--sunny-cactus-210e3e.netlify.app (3e3f4f7) 📚 Changed Lecture Pages: career, jv, mccall_persist_trans, mccall_q, mccall_risk, odu |
- Add parentheses around MGF abbreviation for clarity - Fix subject-verb agreement: change 'decrease' to 'decreases'
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@jstac just some minor changes. One question, do you indent $$
e_\theta = \mu + \frac{\theta\sigma^2}{2}
$$I think $$
e_\theta = \mu + \frac{\theta\sigma^2}{2}
$$is tidier (but maybe you prefer indended). Just keen to set a style guide preference. |
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Thanks @mmcky . I prefer the former, it's how I indent in my research papers, but I'm happy for you to decide. No strong preference |
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📖 Netlify Preview Ready! Preview URL: https://pr-760--sunny-cactus-210e3e.netlify.app (8fdaf98) 📚 Changed Lecture Pages: career, jv, mccall_persist_trans, mccall_q, mccall_risk, odu |
Summary
This PR adds a new lecture on risk-sensitive preferences in the job search context, positioned as Job Search V (after the fitted VFI lecture).
Changes
New Content
Updated Files
Test Plan
Key Results
The lecture demonstrates that more risk-averse agents (more negative θ):
🤖 Generated with Claude Code