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            <title xml:lang="en">Informal pay gaps in good and bad times: Evidence from Russia</title>
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                <title xml:lang="en">Informal pay gaps in good and bad times: Evidence from Russia</title>
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                <term xml:lang="en">Jackknife</term>
                <term xml:lang="en">Incidental parameter bias</term>
                <term xml:lang="en">Fixed effects</term>
                <term xml:lang="en">Unconditional quantile regression</term>
                <term xml:lang="en">Wage gap</term>
                <term xml:lang="en">Informal employment</term>
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              <p>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.</p>
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