Job search, search intensity and labour market transitions : an empirical analysis
In this paper we present an empirical structural job search model with endogenously determined search intensity. The model describes both the behaviour of unemployed job searchers and on-the-job search. We use data on various indicators (or search channels) for the intensity of search, like the monthly number of applications, to study the influence of the intensity of search on labour market transitions. The estimation results give us insight in the effectiveness of search. The impact of the benefit level on search intensity of unemployed job searchers is quantified. Moreover, the estimation results are used to gain insight in the "discouraged worker" effect. The generalized residuals are studied to discuss the fit of the model.
|Date of creation:||2001|
|Contact details of provider:|| Web page: http://www.feweb.vu.nl|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993.
"Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models,"
Journal of Econometrics,
Elsevier, vol. 58(3), pages 347-368, August.
- Vassilis A. Hajivassiliou & Axel Borsch-Supan, 1990. "Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models," Cowles Foundation Discussion Papers 960, Cowles Foundation for Research in Economics, Yale University.
- Gerard J. van den Berg & Bas van der Klaauw, 2006. "Counseling And Monitoring Of Unemployed Workers: Theory And Evidence From A Controlled Social Experiment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(3), pages 895-936, 08.
- van den Berg, Gerard J & van der Klaauw, Bas, 2001. "Counselling and Monitoring of Unemployed Workers: Theory and Evidence from a Controlled Social Experiment," CEPR Discussion Papers 2986, C.E.P.R. Discussion Papers.
- van den Bergh, Gerhard & van deer Klaauw, Bas, 2001. "Counseling and monitoring of unemployed workers: theory and evidence from a controlled social experiment," Working Paper Series 2001:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- van den Berg, Gerard J. & van der Klaauw, Bas, 2001. "Counseling and Monitoring of Unemployed Workers: Theory and Evidence from a Controlled Social Experiment," IZA Discussion Papers 374, Institute for the Study of Labor (IZA).
- Yoon, Bong Joon, 1981. "A Model of Unemployment Duration with Variable Search Intensity," The Review of Economics and Statistics, MIT Press, vol. 63(4), pages 599-609, November.
- Mortensen, D. T. & Vishwanath, T., 1995. "Personal contacts and earnings: It is who you know!," Labour Economics, Elsevier, vol. 2(1), pages 103-104, March.
- Mortensen, Dale T. & Vishwanath, Tara, 1994. "Personal contacts and earnings : It is who you know!," Labour Economics, Elsevier, vol. 1(2), pages 187-201, March.
When requesting a correction, please mention this item's handle: RePEc:vua:wpaper:2001-37. 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: (R. Dam)
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.