Introduction and Outline

Timo Mitze

Chapter Chapter 1 in Empirical Modelling in Regional Science, 2012, pp 1-15 from Springer

Abstract: 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.

Keywords: Panel Data; Dynamic Panel Data; Labor Productivity Growth; Spatial Econometric; Spatial Durbin Model (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-22901-5_1

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DOI: 10.1007/978-3-642-22901-5_1

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