Do spatial constraints affect the job search efficiency?
Theoretical and empirical works on job search often neglect the role of unemployed environment like spatial constraints meets while searching for a job. This paper proposes a job search model where both the spatial search area and the reservation wage are assumed to be endogenous. We exploit data from a French survey conducted by Research Direction of Employment Ministry (DARES) to estimate the structural parameters of the model. First we estimate the choice of the search area, i.e. the choice between passive (receiving job offers through the local public employment agencies) and active strategies (extending the job search area using others search channels). Using a bivariate probit model, we highlight that this choice depends significantly on individual attributes and spatial constraints and that it affects job quality. Besides, the independence of irrelevant alternatives is not rejected. Secondly, using Gamma duration model we treat both individual and unobservable heterogeneity and the multiple destinations after unemployment (long-term jobs, short-term jobs and subsidised jobs). Moreover, estimations are made on sub-samples in which individuals are homogenous according to their level of diploma and their situation towards the unemployment insurance. Controlling for unobservable heterogeneity and selection bias, the econometric results show that the passive strategy is more efficient for lowgraduated people accessing a subsidised job. However, the active strategy is more efficient for high-graduated individuals accessing a full-term or a short-term job.
|Date of creation:||Feb 2002|
|Date of revision:|
|Publication status:||Published in Working Paper du GATE 2002-02. 2002|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00178154|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00178154. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.