Author(s)

Saman Muthukumarana¹, Kyle Vincent², Jenna G. Tichon¹

¹Department of Statistics of the University of Manitoba, Winnipeg, Canada.
²Independent Consultant Affiliated with San Diego State University Research Foundation, San Diego, USA.

Customers have a wide variety of choices in selecting a method of payment in modern society due to advancements in technology. In this paper, we investigate the method of payment habits of banking customers using item response models. We consider three binary item response models used in the literature within the Bayesian framework. These models capture the heterogeneity and complexity of customer perception on methods of payment in different capacities, with different features. For this reason, model assessment methods need to be developed for better inferential purposes. We introduce an assessment criterion based on predictive simulations and illustrate the approach using graphical summary measures. The approach is further highlighted using survey data based on consumer payment choices that was conducted for the Federal Reserve Bank of Boston.

Bayesian Analysis, Item Response Theory, Markov Chain Monte Carlo, Predictive Simulations

Muthukumarana, S. , Vincent, K. and Tichon, J. (2019) Bayesian Item Response Analysis of Method-of-Payment Habits in Banking Surveys. Journal of Mathematical Finance, 9, 1-10. doi: 10.4236/jmf.2019.91001.