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Introduction and Outline

  • Chapter
Empirical Modelling in Regional Science

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

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Abstract

Economic agents interact in structural relationships through time and space. The different chapters in this book start from the empirical observation that all three dimensions are important for a capacious framework of modern empirical analysis in regional science. The introductory chapter gives a short classification of different methodological approaches followed by an overview of the different up-to-date econometric tools, which are nowadays applied in regional modelling such as time-series, panel data and spatial econometrics. The chapter also presents a stylized framework for time–space–structural analysis, which highlights the complex global pattern of autocorrelation both in space and time and addresses several challenges which may affect the consistency and efficiency of different estimators. Finally, it presents an outline of the topics covered in the next chapters dealing with regional econometric modelling for German data.

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Notes

  1. 1.

    A detailed historical tracking of the synthesis of spatial econometrics is given by Sarafoglu and Paelinck (2008).

  2. 2.

    These five principles are also exhaustively discussed in Ancot et al. (1990).

  3. 3.

    With “descriptive” being defined in line with Holmes (2010) as a type of explorative empirical analysis, able to identify correlations of variables but not causal effects. The latter would need either a structuralist- or experimentalist-modelling approach.

  4. 4.

    For a comprehensive overview see, for instance, Arellano (2003).

  5. 5.

    The reader has to note that no attempt was made to draw all possible connections for cross-sectional observations for each variable over time, since this would simply overburden the graphical presentation in Fig. 1.1.

  6. 6.

    Additionally, one may start from a two-way specification and include time-fixed effects as well.

  7. 7.

    Of course, taking the incidental parameter problem into account (Neyman and Scott 1948), although the latter is more severe for the non-linear case.

  8. 8.

    See, e.g., Bouayad-Agha and Vedrine (2010).

  9. 9.

    The spatial Durbin model was first discussed in Anselin (1988).

  10. 10.

    Data sources are given in each chapter. The datasets can also be obtained from the author upon request.

  11. 11.

    For a description of the HERMIN model see, e.g., Bradley et al. (2001).

  12. 12.

    See Capello (2007) and Capello et al. (2008) for an overview.

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Authors and Affiliations

  1. Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Essen, Germany

    Dr. Timo Mitze

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  1. Dr. Timo Mitze
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© 2012 Springer-Verlag Berlin Heidelberg

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Mitze, T. (2012). Introduction and Outline. In: Empirical Modelling in Regional Science. Lecture Notes in Economics and Mathematical Systems, vol 657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22901-5_1

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