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Key Issues in Local Job Accessibility Measurement: Different Models Mean Different Results

Mathieu Bunel () and Elisabeth Tovar ()

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Abstract: This methodological paper shows that using different local job accessibility models (LJAs) leads to significantly different empirical appreciations of job accessibility. Matching several exhaustive micro data sources on the Paris region municipalities, the paper benchmarks a representative set of LJA measurement models used in the recent literature and an original model where job availability is fully estimated according to a set of individual characteristics, job competition is fully modelled on the local labour market and frontier effects are controlled for. We show that the model-induced empirical differences are spatially differentiated across the Paris region municipalities, and that failing to fully estimate job availability may lead to overestimation of the job accessibility levels of underprivileged municipalities.

Keywords: Paris region; geo-referenced micro-data; job accessibility measurement (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-geo and nep-ure
Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00867924
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Published in Urban Studies, SAGE Publications, 2014, 51 (6), pp.1322-1338. ⟨10.1177/0042098013495573⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00867924

DOI: 10.1177/0042098013495573

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