A mixture of multinomial logits (MMNL) generalizes the single logit model, which is commonly used in predicting the probabilities of different outcomes. While extensive algorithms have been developed in the literature to learn MMNL models, theoretical results are limited. Built on the Frank...

On a large scale albeit due to conflicts, climate change, acts of terrorism in Sub-Sahara Africa and some other peculiar factors the oddities of food shortage and hunger keep rising in recent years; making it an issue of global concern. To ameliorate the situation, successive governments in...

Health preference research (HPR) is the subfield of health economics dedicated to understanding the value of health and health-related objects using observational or experimental methods. In a discrete choice experiment (DCE), the utility of objects in a choice set may differ systematically...

The subject of this study is the microcredit market in the USA, more specifically in Florida. The justification for choosing this specific state is the massive presence of the Hispanic population. This will facilitate a generalization of the obtained results to the microcredit market in Latin...

We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a covariate sequentially exogenous conditional on lagged outcomes and covariates). The choice model is indexed by a scalar parameter θ, whereas the distribution of unit-specific...

A typical characteristic of the wine supply chain in the Old World is the significant share of cooperatives in wine-making that coexists with investor-owned firms and on-farm wine-makers. This paper analyzes the determinants of whether grape growers deliver their grapes to a cooperative winery...

We examined the relationships between the compositional changes in demographic and socioeconomic factors and the changes in the prevalence of material deprivation in rural and urban areas in Poland. Using the European Union Statistics on Income and Living Conditions (EU-SILC) data for 2019-2020,...