Logistic regression is widely used in complex data analysis. When predictors are at individual level and the response at aggregate level, logistic regression can be estimated using the Maximum Likelihood Estimation (MLE) method with the joint likelihood function formed by Poisson binomial...

Contemporary consumer society is deeply intertwined with the concepts of money and shopping, which are closely related yet often studied separately. Despite their interconnectedness, there is a notable gap in research that simultaneously addresses financial literacy as a tool for effective money...

This study investigates tax compliance patterns among individuals in Romania through a survey-based approach, aiming to comprehend factors influencing taxpayers' behavior, including perception towards taxation, ethics, evasion, and public awareness. The insights garnered can inform policy...

This study introduces a new family of distributions (FoD) called type I heavy-tailed odd Burr III-G (TI-HT-OBIII-G) distribution. Several statistical properties of the family are derived along with actuarial risk measures. The maximum likelihood estimation (MLE) approach is adopted in the...

We estimate the difference in direct healthcare costs of individuals diagnosed with diabetes depending on their glucose level, considering different timespans and subgroups. Using data from administrative registers of 285,450 individuals in Catalonia from 2013 to 2017, we used a fuzzy regression...