000 | 01382cam a2200241 4500500 | ||
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005 | 20250112031855.0 | ||
041 | _afre | ||
042 | _adc | ||
100 | 1 | 0 |
_aGavrel, Frédéric _eauthor |
700 | 1 | 0 |
_a Georges, Nathalie _eauthor |
700 | 1 | 0 |
_a L’Horty, Yannick _eauthor |
700 | 1 | 0 |
_a Lebon, Isabelle _eauthor |
245 | 0 | 0 | _aSkills Mismatch and Spatial Inequality |
260 | _c2016. | ||
500 | _a52 | ||
520 | _aWe use an urban model to describe the local labour market by a search and matching process with heterogeneous workers and jobs. Our aim is to study the incidence of a large spectrum of public policies. Various measures – such as lowering transport costs, intensifying training programmes and densifying housing – can reduce unemployement, shorten its duration and lessen social inequality. But such policies cannot combat urban segregation. On the other hand, developing social housing could diminish spatial inequality but its effects on employment are negative. A policy mix is thus required to reduce unemployment and spatial inequality. | ||
690 | _apublic policies | ||
690 | _asearch and matching | ||
690 | _aurban segregation | ||
690 | _aunemployment | ||
786 | 0 | _nÉconomie & prévision | o 206-207 | 1 | 2016-07-01 | p. 1-16 | 0249-4744 | |
856 | 4 | 1 | _uhttps://shs.cairn.info/journal-economie-et-prevision-2015-1-page-1?lang=en |
999 |
_c157319 _d157319 |