Non-Nested Regression Models

By M. Ishaq Bhatti

Subjects: Monte Carlo, Linear models, Stochastic processes, Econometrics, Nested regression, Non-nested data, Statistical inference, Statistical models, Econometric models, Regression analysis, Mathematical statistics, Regression modelling, Statistics

Description: This book addresses two interrelated problems in economics modelling: non-nested hypothesis testing in econometrics, and regression models with stochastic/random regressors. The primary motivation for this book stems from the nature of econometric models. As an abstraction from reality, each statistical model consists of mathematical relationships and stochastic, behavioural assumptions. In practice, the validity of these assumptions and the adequacy of the mathematical specifications is ascertained through a series of diagnostic and specification tests. Conventional test procedures, however, fail to recognise that economic theory generally provides more than one distinct model to explain any given economic phenomenon.