Discrete Choice Analysis: Causal Inference Bootcamp
Here we introduce discrete choice analysis. This is a technique for modeling how people choose among a finite set of options, like whether they should drive or take the bus to work. Part of Duke University's Causal Inference Bootcamp: watch modules on this topic and much more at https://modu.ssri.duke.edu
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Regression Discontinuity: Looking at People on the Edge: Causal Inference Bootcamp
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"Fuzzy" Regression Discontinuity: Addressing Blurry Lines Between Groups: Causal Inference Bootcamp
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What are... Discrete Choice Experiments? Matthew Quaife
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Optimal designs for discrete choice experiments in the presence of many attributes
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Replay Webinar: Discrete Choice Experiment: How to Run a Preference Study with the DCE Methodology
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2007 Methods Lecture, Guido Imbens, "Discrete Choice Models"
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Regression Discontinuity: More Analysis of Thistlethwaite & Campbell: Causal Inference Bootcamp
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15. Causal Inference, Part 2
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Every Machine Learning Model Explained in 15 minutes
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Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)
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Part 1/3: Measuring willingness-to-pay using discrete choice experiments
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01 Introduction
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How to Compute Causal Effects Using Regression Discontinuity: Causal Inference Bootcamp
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iHEA Webinar - June 1, 2020: An Introduction to the Construction of Discrete Choice Experiments
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Richard Feynman Explains Why GENIUS RAMANUJAN Got Math Answers In His Dreams
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ATEs, CATEs, and LATEs: What's the Difference?: Causal Inference Bootcamp
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The better way to do statistics | Bayesian #1
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Discrete Choice Experiment: Theory and examples (Discrete Conjoint Analysis). Part 0
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"Fuzzy" RDD and Swiss Religion: Checking the Numbers: Causal Inference Bootcamp
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