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Quality of Life in the Regions: An Exploratory Spatial Data Analysis for West German Labor Markets

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  • Karsten Rusche

Abstract

Which of Germanys regions is the most attractive? Where is it best to live and work - on objective grounds? These questions are summed up in the concept “quality of life”. This paper uses recent research projects that determine this parameter to examine the spatial distribution of quality of life in Germany. For this purpose, an Exploratory Spatial Data Analysis is conducted which focuses on identifying statistically significant (dis-)similarities in space. An initial result of this research is that it is important to choose the aggregation level of administrative units carefully when considering a spatial analysis. The level plays a crucial role in the strength and impact of spatial effects. In concentrating on various labor market areas, this paper identifies a significant spatial autocorrelation in the quality of life, which seems to be characterized by a North-Mid-South divide. In addition, the ESDA results are used to augment the regression specifications, which helps to avoid the occurrence of spatial dependencies in the residuals.

Suggested Citation

  • Karsten Rusche, "undated". "Quality of Life in the Regions: An Exploratory Spatial Data Analysis for West German Labor Markets," Working Papers 200120, Institute of Spatial and Housing Economics, Munster Universitary.
    • Handle: RePEc:muc:wpaper:200120
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    References listed on IDEAS

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    Cited by:

    1. Karsten Rusche & Uwe Kies & Andreas Schulte, 2011. "Measuring spatial co-agglomeration patterns by extending ESDA techniques," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 31(1), pages 11-25, June.
    2. Hashem Dadashpoor & Nina Khalighi, 2016. "Investigating Spatial Distribution of Regional Quality of Life (RQoL) in Iran Between 1996 and 2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1217-1248, July.
    3. Alexandru Bănică & Karima Kourtit & Peter Nijkamp, 2020. "Natural disasters as a development opportunity: a spatial economic resilience interpretation," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 40(2), pages 223-249, October.
    4. Andrea Rampa, 2020. "Climate change, catastrophes and Dismal Theorem: a critical review [Klimawandel, Katastrophen und das „Dismal Theorem“: eine kritische Überprüfung]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 40(2), pages 113-136, October.
    5. Norbert Hiller & Oliver Lerbs, 2015. "The capitalization of non-market attributes into regional housing rents and wages: evidence on German functional labor market areas," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(1), pages 49-72, February.
    6. Christian WEISMAYER & Ivo PONOCNY & Sabine SEDLACEK & Bernadette STROSS & Stefan DRESSLER, 2017. "The Relationship Between Natural Urban Surroundings And Residents’ Well-Being," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(1), pages 21-37, February.

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    More about this item

    Keywords

    Quality of Life; Exploratory Spatial Data Analysis; Functional Economic Areas; Spatial Econometrics; LISA Dummies;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General

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