1 -going beyond the spatial mismatch hypothesis john Östh department of social & economic...

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1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor market assessment

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Page 1: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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-going beyond the spatial mismatch hypothesis

John ÖsthDepartment of Social & Economic Geography @ Uppsala University, Sweden

New measure for labor market assessment

Page 2: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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Accessibility measures are typically used to – Express proximity in general– Express the relationship between supply and

demand, as used in:• Spatial Mismatch hypothesis• Gender and class related hypotheses (HRH, etc)

– Assist localization decision

Page 3: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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Measuring accessibility1) Outcome measures of accessibility

• Commuting time/distance

2) Potential measures of accessibility• Catchment area analysis (job housing

balance ratio, etc)

Page 4: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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Principle behind outcome measures of accessibility–Distance/time commuted represent

individual’s accessibility– Poor accessibility (long commutes)

Problems using outcome measures of accessibility–Endogeniety –Only commuters can be used

Page 5: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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Principle behind potential measures of accessibility

Page 6: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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Measurement bias using potential models

Page 7: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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Complex models of potential accessibility

)()(),...,()(),()(),( 21111 DfSfSfDfDfSfSfaccessi

Page 8: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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The ELMO-model is…• Estimated Labor Market Outcome

• A doubly constrained measure of potential accessibility

• Four major benefits– Individual input - individual output– Comparison – Non-iterative– Multi-topological

Page 9: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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ELMO topologies• A) Absolute Space (dichotomy)

• B) Relative Space (distance decay)

Page 10: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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ELMO Step 1: A crude measure of accessibility

The labor suppliers’ potentialinterest in each unit of demand for labor available within the catchment area.

S = 5AD = 50Z = 0.1

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ELMO step 2: Introducing competition for jobs

the relation between the local demand (D) for labor and thepotential labor supply (AZ) is expressed. The abbreviation DC represents demand when competition is accounted for.

D = 100AZ = 2DC = 50

Page 12: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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ELMO step 3: Accessibility to competition adjusted jobs

The (aggregated) competed for jobs (ADC) are related to the local suppliers’ potential interest in the demand available within the catchment-area (Z).

ADC = 100Z = 0.1EE = 10

Page 13: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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ELMO step 3: Accessibility to competition adjusted jobs

Page 14: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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Example of ELMO-output

Page 15: 1 -going beyond the spatial mismatch hypothesis John Östh Department of Social & Economic Geography @ Uppsala University, Sweden New measure for labor

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The future of ELMO• Funding to develop an “easy to use”

program (accessibility/localization)

• Developing ELMO-topologies

• Period 2007-2009

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THE END

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