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Estimating the Parameters of a Binary Logit Model
In this video, we show how to estimate preference parameters from binary logit choice models using maximum likelihood estimation. We derive the likelihood function from the logit probabilities, convert it to log-likelihood form, and show how modern statistical software can estimate the model parameters. Slides available here: https://raw ...
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