Informal pay gaps in good and bad times: Evidence from Russia

被引:2
|
作者
Bargain, Olivier [1 ,4 ]
Etienne, Audrey [2 ]
Melly, Blaise [3 ,4 ]
机构
[1] Bordeaux Univ, Bordeaux, France
[2] French Econ Observ OFCE, Paris, France
[3] Univ Bern, Bern, Switzerland
[4] IZA, Bonn, Germany
关键词
Russia; Informal employment; Wage gap; Unconditional quantile regression; Fixed effects; Incidental parameter bias; Jackknife; PANEL-DATA ANALYSIS; URBAN LABOR-MARKET; QUANTILE REGRESSION; MINIMUM-WAGE; SOUTH-AFRICA; MOBILITY; UNEMPLOYMENT; SEGMENTATION; DYNAMICS; POVERTY;
D O I
10.1016/j.jce.2021.02.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Informal work is traditionally large in Russia and has further increased in the recent years. We explore the implications of this shift in terms of wage dynamics. Our characterization is based on the estimation of informal pay gaps at the mean and along the wage distribution, relying on the Russian Longitudinal Monitoring Survey for 2003-2017. Our approach comprises three original features: we rely on unconditional quantile effects of informality, we incorporate quantile-specific fixed effects using a tractable approach, and we suggest a treatment of the incidental parameter bias. Over the whole period, informal wage penalties are relatively small and do not suggest heavily segmented labor markets, even at low wage levels. Yet, in the past decade, a substantial negative selection into informal employment and self-employment has taken place, on average and especially at low earnings. Economic downturns and labor market policies have likely contributed to the shakeout of less productive workers in the formal sector, making the low-tier informal sector more of a last resort.
引用
收藏
页码:693 / 714
页数:22
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