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Empirical Modelling in Regional Science

Towards a Global Time‒Space‒Structural Analysis

  • Timo Mitze

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 657)

Table of contents

About this book

Introduction

Economic agents interact in structural relationships through time and space. This work starts from the empirical observation that all three dimensions, namely time, space, and structural functional forms, are important for an integrative framework of modern empirical analysis in regional science. The work thus aims at combining up-to-date econometric tools from the fields of spatial econometrics, panel time-series analysis and structural simultaneous equation modelling to analyse the different research questions at hand. Most of the topics dealt within this work start from a concrete empirical problem, while problem solving also aims at generating some new knowledge in a methodological way, e.g. by the complementary use of Monte Carlo simulation studies to compare the empirical performance of different estimators for specific data samples. Following a first introductory chapter, the work is structured in three parts addressing major issues in building up a stylized regional economic model such as interregional migration, factor and final demand estimation. All empirical applications use German regional data.

Keywords

Empirical Modelling Monte Carlo Simulations Panel Econometrics Regional Science Spatial Econometrics

Authors and affiliations

  • Timo Mitze
    • 1
  1. 1.Rheinisch-Westfälisches Institut für WirEssenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-22901-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-22900-8
  • Online ISBN 978-3-642-22901-5
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site