Blog

Causal Inference Research Blog

Welcome to our research blog, where we summarize and discuss recent developments in causal inference. Each post focuses on a published research paper, providing an accessible summary, critical analysis, and connections to related work.

Sample Enhanced Blog Post with Improved Styling

• causal-inference research-methods statistics

MLA Citation Angrist, Joshua D., and Jörn-Steffen Pischke. *Mostly Harmless Econometrics: An Empiricist's Companion*. Princeton University Press, 2009. doi:[10.2307/j.ctvcm4j72](https://doi.org/10.2307/j.ctvcm4j72).

Read full summary →

Doubly Robust Estimation for Time‑Varying Treatments

• doubly-robust time-varying g-computation longitudinal

MLA Citation Bang, Heejung, and James M. Robins. "Doubly Robust Estimation in Missing Data and Causal Inference Models." *Biometrics*, vol. 61, no. 4, 2005, pp. 962–73. doi:[10.1111/j.1541-0420.2005.00377.x](https://doi.org/10.1111/j.1541-0420.2005.00377.x).

Read full summary →

Causal Forests for Heterogeneous Treatment Effects

• causal-forests machine-learning heterogeneous-effects random-forests

MLA Citation Athey, Susan, and Guido Imbens. "Recursive Partitioning for Heterogeneous Causal Effects." *Proceedings of the National Academy of Sciences*, vol. 113, no. 27, 2016, pp. 7353–60. doi:[10.1073/pnas.1510489113](https://doi.org/10.1073/pnas.1510489113).

Read full summary →

</div>

Blog Post Format

Each blog post follows a consistent structure designed to make research accessible:

1. MLA Citation

Full citation with clickable DOI link to the original paper.

2. Summary (300-400 words)

Concise summary highlighting:

  • Research question and motivation
  • Key methodological contribution
  • Main findings and implications
  • Limitations and future directions

3. Related Papers (max 3)

Citations to foundational or complementary work with brief explanations of connections.

4. Tags (max 3)

Specific causal inference methods and concepts covered.

</div>

Topics Covered

Our blog covers the full spectrum of causal inference research:

Methodological Advances

  • New estimation techniques
  • Inference under weaker assumptions
  • High-dimensional settings
  • Machine learning integration
  • Bayesian methods
  • Sensitivity analysis

Application Areas

  • Economics and econometrics
  • Epidemiology and public health
  • Education research
  • Political science
  • Computer science and AI
  • Social policy evaluation

Foundational Concepts

  • Potential outcomes framework
  • Directed acyclic graphs
  • Identification strategies
  • Experimental design
  • Measurement and validation
  • Ethical considerations

</div>

Submission Guidelines

We welcome guest contributions from researchers, practitioners, and students. To submit a blog post:

Requirements

  1. Paper selection: Recent (last 3 years) publication in peer-reviewed journal
  2. Citation: Complete MLA format with DOI
  3. Summary: 300-400 words, accessible to graduate students
  4. Related papers: 1-3 citations with connection explanations
  5. Tags: 1-3 relevant tags (lowercase, hyphenated)

Review Process

  1. Initial screening: Within 1 week of submission
  2. Editorial review: Feedback on clarity and accessibility
  3. Final approval: After revisions, if needed
  4. Publication: Within 2-4 weeks of submission

How to Submit

Email submissions to zephyr.v@outlook.com with:

  • Subject: "Blog Submission: [Paper Title]"
  • Your name and affiliation (optional)
  • Draft in Markdown format
  • PDF of the paper

</div>

Stay Updated

Subscribe to our newsletter to receive:

  • New blog post announcements
  • Monthly research roundups
  • Conference and workshop updates
  • Resource recommendations

Subscribe to updates (coming soon)

Archive

By Year

2026

2024

By Tag

causal-forests

causal-inference

doubly-robust

g-computation

heterogeneous-effects

longitudinal

machine-learning

random-forests

research-methods

statistics

time-varying

"Research is to see what everybody else has seen, and to think what nobody else has thought."
— Albert Szent-Györgyi