Who bears the cost of Russia's military draft?
Abstract
In this paper we use data from a large nationally representative survey in Russia to empirically estimate the distribution of the burden induced by the military draft. We focus on draft avoidance as a common response to the conscription system ridden by corruption. We develop a simple theoretical model that describes household compliance decisions with respect to enlistment as a function of its pre-draft welfare. We employ the full information maximum-likelihood instrumental variable model to estimate the effect of household characteristics on the probability of serving in the army. Our results indicate that the burden of conscription falls excessively on the poor. Poor, low-educated, rural households are much more likely to have their sons enlisted compared to urban, wealthy and better-educated families. Using the predicted probability of draft avoidance, we estimate the short-term direct economic cost of the draft as lost wages of serving conscripts. Our results suggest that losses incurred by the poor are disproportionately large and exceed the statutory rates of personal income taxes. Copyright (c) 2008 The Authors. Journal compilation (c) 2008 The European Bank for Reconstruction and Development.Download Info
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Bibliographic Info
Article provided by The European Bank for Reconstruction and Development in its journal Economics of Transition.
Volume (Year): 16 (2008)
Issue (Month): 3 (07)
Pages: 359-387
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Related research
Keywords:Other versions of this item:
- Lokshin, Michael & Yemtsov, Ruslan, 2005. "Who bears the cost of Russia's military draft?," Policy Research Working Paper Series 3547, The World Bank.
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Poutvaara, Panu & Wagener, Andreas, 2009.
"The Political Economy of Conscription,"
IZA Discussion Papers
4429, Institute for the Study of Labor (IZA).
- Panu Poutvaara & Andreas Wagener, 2009. "The Political Economy of Conscription," CESifo Working Paper Series 2821, CESifo Group Munich.
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