Dynamism and Inertia on the Russian Labour Market: A Model of Segmentation
Stanislav Kolenikov (),
Elena Paltseva (),
Claudia Sénik-Leygonie and
Thierry Verdier ()
No 2224, CEPR Discussion Papers from C.E.P.R. Discussion Papers
This paper proposes an explanation of the puzzling coexistence of elements of inertia and dynamism on the Russian labour market using a segmentation model. Risk averse workers are differentiated according to their productivity. They face a trade-off between wages and access to social services provided by the firm. The most productive workers leave their initial firm, contract on the spot labour market, and concentrate in the best performing firms. The model provides a possible interpretation of wage arrears which can be viewed as an element of an implicit contract between firms and less productive workers. We test some of the predictions of the model using a panel dataset containing 13 410 firms, for 1993 - 1997.
Keywords: Labour Market; Russia; Transition; Wage Arrears (search for similar items in EconPapers)
JEL-codes: C23 D82 J00 L2 P52 (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (11) Track citations by RSS feed
Downloads: (external link)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at email@example.com
Working Paper: Dynamism and Inertia on the Russian Labour Market: A Model of Segmentation (1999)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:2224
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... ers/dp.php?dpno=2224
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().