The Structural Econ Guy
Hi, I’m Tyler Ransom, an associate professor of economics at the University of Oklahoma. On this channel, I share my knowledge and experience on doing economics research and estimating structural econometric models. Structural modeling is a powerful statistical technique that allows you to test complex causal relationships among observed and latent variables. I also show you how to code structural models in Julia, a fast and flexible programming language for data analysis and scientific computing.
If you want to learn more about me and my work, you can check out my website, Substack, or my academic profile. You can also follow me on X and LinkedIn.
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McFadden's Pseudo R-Squared & the BART Study
Measuring Consumer Surplus with Discrete Choice Models
Independence of Irrelevant Alternatives (IIA) in Multinomial Logit
Multinomial Logit : Extending Binary Choice to Many Options
Estimating the Parameters of a Binary Logit Model
Deriving the Logit Choice Probability Formula
Location and Scale Normalizations in Logit Models (And Their Consequences)
Introduction to Random Utility Models
Validating and Running Counterfactual Experiments on Your Structural Model
Foundational Workflow Tips for Estimating Your Structural Model
Understanding How Your Structural Model Works
Learning How to Solve a Structural Model
Practical Model Specification Issues
Beginning Structural Modeling with Theoretical Model Development: Part II
Beginning Structural Modeling with Theoretical Model Development: Part I
Introducing the 7 Steps of Structural Modeling
Combining Experimental and Structural Methods
The Structural vs. Reduced Form WAR in Economics
Why We Can Never Fully Prove Our Econometric Assumptions
Internal vs External Validity: What Can Galileo and Newton Teach Us About Econometrics?
When Is Structural Modeling Useful?
CRUDE Structural Modeling?? Why Design-Based Papers Are More Structural Than They Think
What Does "Identification" Actually Mean in Econometrics?
The Structural vs. Reduced Form SPECTRUM in Economics
Unit Testing: The Hand Washing of Programming (Clean Code Tutorial)
The BEST way to keep your code simple! (Abstract, but not too much)
How to Organize Your Code Projects (Your Future Self Will Thank You!)
Automation: The Secret to Reproducible Research (Save 9.5 Hours Per Project!)
Why Your Code Keeps You Up at Night (Clean Coding for Scientists)