Econometric Analysis of Model Selection and Model Testing
Autor M. Ishaq Bhatti, Hatem Al-Shanfarien Limba Engleză Hardback – 28 feb 2006
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Specificații
ISBN-13: 9780754637158
ISBN-10: 0754637158
Pagini: 384
Dimensiuni: 156 x 234 mm
Greutate: 0.87 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 0754637158
Pagini: 384
Dimensiuni: 156 x 234 mm
Greutate: 0.87 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Cuprins
Contents: Introduction; Testing econometric models; Testing for block effects; Model selection procedures; Information criteria for model selection; Controlled information criteria for model selection; Arbitrage pricing model; Model selection in testing the arbitrage pricing theory; Modelling the risk premium of listed stocks; Bibliography; Index.
Recenzii
'This is an advanced research work on some new directions of statistical analysis. It will prove to be useful particularly to the seriously committed in theoretical statistics...It is hoped that the book will open directions for future research in the area of establishing the rationale on model building using underlying economic and econometric reasoning with complexity as phenomenon.' Professor Masudul Alam Choudhury, Cape Breton University, Canada '...a very good introduction to anyone interested in the basics of model selection and model choice, and any applied economist wishing to apply information criteria in his or her work.' South-Eastern Europe Journal of Economics
Notă biografică
M. Ishaq Bhatti is Senior Lecturer at La Trobe University in Melbourne, Australia. Hatem Al-Shanfari and M. Zakir Hossain are both Assistant Professors at Sultan Qaboos University, Sultanate of Oman.
Descriere
This book brings together the issues of optimal testing for misspecification in econometric modelling, the method of recent development in model selection and model testing with reference to applications in real data sets. It is ideal as a reference for statistical sciences postgraduate students, academic researchers and policy makers alike.