The focus of this paper is an information theoretic-symbolic logic approach to extract information from complex economic systems and unlock its dynamic content. Permutation Entropy (PE) is used to capture the permutation patterns-ordinal relations among the individual values of a given time...

This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic models and methods. Because most data are observational, practitioners work with indirect noisy observation and ill-posed econometric in the form of stochastic inverse...

The focus of this book is to develop a plausible basis for reasoning in situations involving incomplete-partial information and developing principles and procedures for learning or recovering information from a sample of economic data. The book starts with the specification and analysis of the...

This study applies an information theoretic econometric approach in the form of a new maximum likelihood-minimum power divergence (ML-MPD) semi-parametric binary response estimator to analyze dichotomous contingent valuation data. The ML-MPD method estimates the underlying behavioral decision...

This paper considers the scenario of independent risks which have times to occurrence described by Exponential distributions. The problem involves masking, that is, the time of occurrence of the earlier risk (first order statistic) is observed but not the specific risk. Nonidentifiability is a...