The advantages of bayesian methods over classical methods in the context of credible intervals

The growing computational power of modern computer systems enables the efficient execution of algorithms. This is particularly important in Bayesian statistics, in which, nowadays, the key role is played by Markov Chain Monte Carlo methods. The primary objective of this work is to show the benefits arising from the use of Bayesian inference, especially confidence intervals in the context of logistic regression. The empirical analysis is based on "Household budgets" survey of Central Statistical Office. In this paper the unemployment among people over 55 will be investigated.