Normalization of variables simplifies computation of marginal effects in choice models.
The article simplifies how we calculate the effects of different factors in decision-making models. By adjusting the starting point of our measurements, we can easily see how continuous variables impact our choices. This makes it easier to understand and predict how our decisions are influenced by various factors. The researchers found that by making a simple adjustment, we can streamline the process of calculating these effects, making it more efficient and straightforward for everyone to use.