Probabilistic forecasting with discrete choice models: Evaluating predictions with pseudo-coefficients of determination
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文摘

Forecasts of discrete choice can be misjudged due to difficulties of pseudo-R2.

We resolve these difficulties in the context of competitive event forecasting.

McFaddenś pseudo-R2 is dependent on the mean number of alternatives.

Pseudo-R2s can be given standard errors with bootstrap and asymptotic methods.

We derive a relative pseudo-R2, a new measure of the economic value of forecasts.

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