Probit and logit models typically require a normalization on the error variance for model identification. This paper …

, called betit, nests both logit and probit and allows for various skewed and peaked disturbance densities. Because the shape … paper considers asymptotic biases of the logit and probit models under conditions where betit should have been used. It also …

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient …

This paper investigates the potentially non-linear relation between households' indebtedness and their consumption … previous studies, we find a negative effect of households' indebtedness on their consumption, even in the absence of negative …, rather than its overall sustainability, that leads households to reduce their consumption. We perform as well a threshold …

We implement a survey of Dutch households in which random subsets of respondents receive information about inflation … evidence that this is likely driven by the fact that Dutch households seem to become more pessimistic about their real income …

We survey samples of German firms and households to document novel stylized facts about the extent of information … dispersed than households', consistent with higher information frictions among households. Second, the degree of dispersion and … the distance from expert forecasts varies more across groups of households than across groups of firms. Third, firms …

considers relative earnings disparities within households. We provide empirical evidence supporting our model's predictions …