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Simulation-based Inference in Econometrics: Methods and Applications

Hardback

Main Details

Title Simulation-based Inference in Econometrics: Methods and Applications
Authors and Contributors      Edited by Roberto Mariano
Edited by Til Schuermann
Edited by Melvyn J. Weeks
Physical Properties
Format:Hardback
Pages:476
Dimensions(mm): Height 236,Width 159
ISBN/Barcode 9780521591126
ClassificationsDewey:330.015195
Audience
Professional & Vocational
Illustrations 25 Tables, unspecified

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 20 July 2000
Publication Country United Kingdom

Description

Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. The techniques of SBI are widespread among scholars and researchers, and have become a staple part of undergraduate and postgraduate research programs. In this volume, Mariano, Schuermann, Weeks and their contributors provide an overview of the applications and techniques at the cutting edge of the subject, as well as a comprehensive survey of the existing literature. The contributions include important new essays by many of the leading figures currently working in econometrics.

Reviews

"This book would be a valuable reference for empirical researchers interested in applying simulation-based methods." JASA