A multiregional labour supply model for Austria: The effects of different regionalisations in multiregional labour market modelling

Baumann, Johann H.; Fischer, Manfréd M.; Schubert, Uwe

doi:10.1007/bf01944095

Cited by 26 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some studies compare the results from using different regionalisations for the types of analyses which frequently use LMAsexamples include income analyses (e.g. Johnson 1995;Barkley et al 1995), and multiple variable analyses (Cörvers et al 2009)while others like Baumann et al (1983) and Maza and Villaverde (2011) compare the results from analyses using FRs rather than administrative areas. Findings from these studies depend on the scale of the areas analysed along with the statistical techniques and data used.…”

Section: Principles For the Evaluation Of Lmasmentioning

confidence: 99%

Functional Regions for Policy: a Statistical ‘Toolbox’ Providing Evidence for Decisions between Alternative Geographies

Martínez‐Bernabéu

Coombes

Casado-Díaz

2019

Appl. Spatial Analysis

View full text Add to dashboard Cite

Labour market areas and other functional regions (FRs) are increasingly used within research and policy, but how FRs are best defined is an unresolved issue. This is important because the policy impacts, or the research results, will differ depending on the specific FR boundaries used. As a result of this sensitivity (termed the Modifiable Areal Unit Problem), quantitative metrics are needed so that differing sets of FR boundaries can be evaluated. To meet this need the paper firstly reviews the concept and use of labour market areasthe form of FRs most widely used in policyto identify relevant criteria for evaluating any regionalisation comprising a set of FRs. Next a range of potential measurable indicators for each of the criteria is defined. These candidate indicators are then exemplified by applying them to a huge number of alternative sets of FRs. From this empirical evidence a shortlist of preferred indicators is identified, creating a statistical 'toolbox' for evaluating sets of FRs. The paper ends by first sketching possible processes within which applying the indicators can help policy-makers with a decision over the appropriate set of FRs for a specific policy, before finally outlining some potential future research developments.

show abstract

Section: Principles For the Evaluation Of Lmasmentioning

confidence: 99%

Functional Regions for Policy: a Statistical ‘Toolbox’ Providing Evidence for Decisions between Alternative Geographies

Martínez‐Bernabéu

Coombes

Casado-Díaz

2019

Appl. Spatial Analysis

View full text Add to dashboard Cite

show abstract

“…Though rule‐based approaches are considered to be the most successful (Klapka & Halás, ), some authors (e.g., Cörvers et al., ; Mitchell & Watts, ) have recently once again focused their attention on the general methods of numerical taxonomy as originally proposed by Brown and Holmes (), Masser and Brown (), Masser and Scheurwater (, ) and Baumann et al. (). The Intramax procedure was applied, for instance, by Nel et al.…”

Section: Theoretical Basismentioning

confidence: 99%

A definition of relevant functional regions for international comparisons: The case of Central Europe

Halás

Klapka

Hurbánek

et al. 2018

Area

View full text Add to dashboard Cite

Methods of functional regional taxonomy and concrete definitions of functional regions based on prevailing population flows have been discussed in many regional studies. The resulting regions have been given various names (travel-to-work areas, local labour market areas, housing market areas, etc.) based on the character of the input data and the method of their definition. However, in most cases only one country (or part thereof) at a time has been analysed. The paper brings a unique definition of functional regions with comparable parameters suitable for international comparisons. Three Central European countries with different settlement and regional structures are analysed. The functional regions in all countries are objectivised through the operation with the constraint function, which estimates natural and non-normative values for the self-containment and size parameters. Two interaction measures are used in the regionalisation algorithm. Besides the methodological contribution, the role of spatial behaviour is briefly discussed, and an interpretation of the results and a proposal for the possible application of functional regions in regional planning and regional analysis in international research tasks is given. K E Y W O R D SCentral Europe, daily travel-to-work flows, functional regions, regional analysis, regional planning, spatial behaviour ---

show abstract

“…Out of the all possible combinations the literature favours the following approaches to functional regional taxonomy. Clustering methods have been used by Brown and Holmes (1971), Masser and Brown (1975), Masser and Scheurwater (1978;), Fischer [(1980including the nonhierarchical variant], and Baumann et al (1983). Relatively recently these methods have been applied by Cörvers et al (2009), Krygsman et al (2009), and Mitchell and Watts (2010), who favoured the clustering methods over the rule-based methods.…”

Section: Introductionmentioning

confidence: 99%

An alternative definition and use for the constraint function for rule-based methods of functional regionalisation

et al. 2015

View full text Add to dashboard Cite

The paper addresses the issue of the constraint function and its use in methods of regional taxonomy and assessment of regional systems. It proposes an alternative definition for the constraint function for rule-based methods of functional regionalisation, such as the delineation of local labour-market areas, including alternative conceptions of the self-containment of the regions, and the trade-off between size and self-containment. An alternative constraint function has been applied in the territory of the Czech Republic as shown in the paper's illustrative example of its use from the original CURDS algorithm.

show abstract

A multiregional labour supply model for Austria: The effects of different regionalisations in multiregional labour market modelling

Cited by 26 publications

References 15 publications

Functional Regions for Policy: a Statistical ‘Toolbox’ Providing Evidence for Decisions between Alternative Geographies

Functional Regions for Policy: a Statistical ‘Toolbox’ Providing Evidence for Decisions between Alternative Geographies

A definition of relevant functional regions for international comparisons: The case of Central Europe

An alternative definition and use for the constraint function for rule-based methods of functional regionalisation

Contact Info

Product

Resources

About