2006
DOI: 10.1016/j.jce.2006.02.004
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Wages, layoffs, and privatization: Evidence from Ukraine

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Cited by 31 publications
(10 citation statements)
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“…Despite widespread fears that privatisation would lead to job losses, Brown, Earle and Vakhitov (2006) find that privatisation reduces worker separations (both quits and dismissals) substantially. This comes at a price, however: privatisation is also associated with lower wage levels -ironically, with the largest wage losses coming in worker-controlled firms.…”
mentioning
confidence: 75%
“…Despite widespread fears that privatisation would lead to job losses, Brown, Earle and Vakhitov (2006) find that privatisation reduces worker separations (both quits and dismissals) substantially. This comes at a price, however: privatisation is also associated with lower wage levels -ironically, with the largest wage losses coming in worker-controlled firms.…”
mentioning
confidence: 75%
“…A study that focuses on worker turnover finds no evidence of negative impact of privatization on either employment changes or dismissals [11]. Another study analyzes layoffs and wages in Ukraine, finding a sizable negative effect on layoffs and a small negative effect on wages [12]. From December 1991, shortly after the Soviet Union collapsed and Ukraine became independent, to 2002, estimated layoff rates are always higher in state firms than in privatized firms (Figure 3).…”
Section: Worker and Job Turnover And Wagesmentioning
confidence: 99%
“…Studies provide some initial analysis of this variation for Russia and Ukraine, but there is scope for much more research [11], [12].…”
Section: Limitations and Gapsmentioning
confidence: 99%
“…The main cost for displaced workers in Ukraine consists in the extremely long non-employment spell that the average worker experiences after layoff. Brown, Earle, and Vakhitov (2006) take advantage of the detailed employee and employer characteristics available in the ULMS to study the effect of privatization on employment and wages. Using retrospective information, the authors are able to construct time series of employment and wages at each employer of each respondent.…”
Section: Overview Of Studies Based On Ulms Datamentioning
confidence: 99%