Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Non-Nested Regression Models (Paperback)
Publisher: Nova Science Publishers Inc, New York
Publication Date: 2013
Language: English
ISBN 10: 1624177700
ISBN 13: 9781624177705
Binding: Paperback
Condition: new

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This text addresses two interrelated problems in economics 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.

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