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Non-Nested Regression Models
Bhatti M.I.
€ 101.02
€ 70.11
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Description for Non-Nested Regression Models
Paperback. Editor(s): Bhatti, M. Ishaq; Bodla, Mahmood Ahmad. Num Pages: 109 pages, illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 228 x 162 x 9. Weight in Grams: 250.
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.
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.
Product Details
Publisher
Nova Science Publishers Inc United States
Number of pages
109
Format
Paperback
Publication date
2013
Condition
New
Number of Pages
109
Place of Publication
New York, United States
ISBN
9781624177705
SKU
V9781624177705
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-2
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