Basic template for issue #71

[HPCurtis]

#71 Outline for general markdown for causal inference written resources with update to index.md. Separating the awesome causal inference section by Matt Courthoud and essential written resources for the CausalPy package.

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📚 Documentation preview 📚: https://causalpy--447.org.readthedocs.build/en/447/

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 94.40%. Comparing base (9d5e0f0) to head (022087d).

Additional details and impacted files

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[drbenvincent]

Thanks for this @HPCurtis. Got a few requests:

• Put the "Awesome Causal Inference" section at the bottom and maybe change the heading to something like "Resources for causal inferences in general" or something to just portray the idea that it goes beyond the scope of quasi-experiments.
• I'd also maybe compactify that section by turning the bullet point list into prose. I don't know if there's a proper term for it, but like this:

Covering the essentials from: academia, industry, books ...

• Could be worth adding in a few more book references. Maybe these:
  • Mastering'metrics: The path from cause to effect
  • Mostly Harmless Econometrics: An Empiricist's Companion
  • Quasi-Experimentation: A Guide to Design and Analysis

[drbenvincent]

Oh, also Causal Inference: The Mixtape, and The Effect: An Introduction to Research Design and Causality