A Primer in Spatial Econometrics aims at meeting the growing demand in the field by introducing basic spatial econometrics methodologies to a wide variety of researchers. Spatial econometrics is a rel
This book is an introductory text on analyzing economic data, covering all the key issues required for students wishing to understand and analyse core empirical issues in economics. It focuses on desc
This book provides an introductory treatment of time series econometrics, a subject that is of key importance to both students and practitioners of economics. It contains material that any serious stu
This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive
This volume expands and develops the analyses and concepts put forward in Unit Root Tests in Time Series: Volume One, providing a comprehensive and clear way into the techniques of unit root testing.
Why should we be interested in macroeconomic survey expectations? This important book offers an in-depth treatment of this question from a point of view not covered in existing works on time-series ec
Testing for a Unit Root is now an essential part of time series analysis but the literature on the topic is so large that knowing where to start is difficult even for the specialist. This book provide
This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive
A Primer in Spatial Econometrics aims at meeting the growing demand in the field by introducing basic spatial econometrics methodologies to a wide variety of researchers. Spatial econometrics is a rel
This book develops the analysis of Time Series from its formal beginnings in the 1890s through to the publication of Box and Jenkins' watershed publication in 1970, showing how these methods laid the
This book provides a broad introduction to computational aspects of Singular Spectrum Analysis (SSA) which is a non-parametric technique and requires no prior assumptions such as stationarity, normali
This book develops the major themes of time series analysis from its beginnings in the early part of the 20th Century through to the present day. This is done by uniquely concentrating on the research
