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Topics in Dynamic Model Analysis

Advanced Matrix Methods and Unit-Root Econometrics Representation Theorems

  • Mario Faliva
  • Maria Grazia Zoia

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 558)

Table of contents

About this book

Introduction

Classical econometrics - which plunges its roots in economic theory with simultaneous equations models (SEM) as offshoots - and time series econometrics - which stems from economic data with vector autoregr- sive (VAR) models as offsprings - scour, like the Janus's facing heads, the flowing of economic variables so as to bring to the fore their autonomous and non-autonomous dynamics. It is up to the so-called final form of a dy­ namic SEM, on the one hand, and to the so-called representation theorems of (unit-root) VAR models, on the other, to provide informative closed form expressions for the trajectories, or time paths, of the economic vari­ ables of interest. Should we look at the issues just put forward from a mathematical standpoint, the emblematic models of both classical and time series econometrics would turn out to be difference equation systems with ad hoc characteristics, whose solutions are attained via a final form or a represen­ tation theorem approach. The final form solution - algebraic technicalities apart - arises in the wake of classical difference equation theory, display­ ing besides a transitory autonomous component, an exogenous one along with a stochastic nuisance term. This follows from a properly defined ma­ trix function inversion admitting a Taylor expansion in the lag operator be­ cause of the assumptions regarding the roots of a determinant equation pe­ culiar to SEM specifications.

Keywords

Cointegration Dynamic Econometric Models Matrix Methods for Econometrics Representation Theorems Time series Unit Roots calculus econometrics modeling

Authors and affiliations

  • Mario Faliva
    • 1
  • Maria Grazia Zoia
    • 2
  1. 1.Full Professor of Econometrics and Head of the Department of Econometrics and Applied Mathematics Faculty of EconomicsCatholic University of MilanMilanoItaly
  2. 2.Associate Professor of Econometrics Faculty of EconomicsCatholic University of MilanMilanoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-29239-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-540-26196-4
  • Online ISBN 978-3-540-29239-5
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site