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Regional Econometric Modeling

  • M. Ray Perryman
  • James R. Schmidt

Part of the International Series in Economic Modeling book series (INSEM, volume 1)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Methodological Issues

  3. External Linkage Issues

    1. Front Matter
      Pages 41-41
    2. John R. Kort, Joseph V. Cartwright, Richard M. Beemiller
      Pages 93-124
  4. Data and Model Evaluation Issues

  5. Back Matter
    Pages 241-254

About this book

Introduction

This book is the first volume of the International Series in Economic Model­ ing, a series designed to summarize current issues and procedures in applied modeling within various fields of economics and to offer new or alternative approaches to prevailing problems. In selecting the subject area for the first volume, we were attracted by the area to which applied modeling efforts are increasingly being drawn, regional economics and its associated subfields. Applied modeling is a broad rubric even when the focus is restricted to econometric modeling issues. Regional econometric modeling has posted a record of rapid growth during the last two decades and has become an established field of research and application. Econometric models of states and large urban areas have become commonplace, but the existence of such models does not signal an end to further development of regional econ­ ometric methods and models. Many issues such as structural specification, level of geographic detail, data constraints, forecasting integrity, and syn­ thesis with other regional modeling techniques will continue to be sources of concern and will prompt further research efforts. The chapters of this volume reflect many of these issues. A brief synopsis of each contribution is provided below: Richard Weber offers an overview of regional econometric models by discussing theoretical specification, nature of variables, and ultimate useful­ ness of such models. For an illustration, Weber describes the specification of the econometric model of New Jersey.

Keywords

econometrics

Editors and affiliations

  • M. Ray Perryman
    • 1
  • James R. Schmidt
    • 2
  1. 1.Baylor UniversityWacoUSA
  2. 2.University of NebraskaLincolnUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-3267-8
  • Copyright Information Springer Science+Business Media B.V. 1987
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-7966-2
  • Online ISBN 978-94-009-3267-8
  • Series Print ISSN 0924-5235
  • Buy this book on publisher's site