The authors investigate the impact of labor market regulations in settings where compliance is incomplete. They review some stylized facts about labor market behavior, present an analytical model that may explain such behavior, and provide a checklist for assessing the distortionary impact of a regulation such as the minimum wage. They take as their starting point the limited evidence about the distortionary effects of such regulations and argue that there may be natural limits on the efficiency losses engendered by labor market regulations. First, the regulations may not be binding at market equilibrium. For example, minimum wages may be set so low that they are ineffective. Second, even if they are binding, the relevant elasticities of supply and demand may be so low that the regulations have little impact on efficiency. Third, even if the regulations are binding and elasticities are sizable, compliance may be low. The authors argue that the likelihood of compliance will be greatest when the regulations are binding and the relevant elasticities are sizable. That is, if the distortionary costs of regulations are not rendered insignificant by the first two reasons, then the returns to noncompliance will be high and, other things being equal, employers will evade or avoid the regulations, thereby minimizing the imact on efficiency. The argument rests on profit maximization subject to a hard budget constraint. Public enterprises, which are not concerned only with profit maximization and often have softer budget constraints than the private sector, may be more willing to conform to profit-reducing regulations, but in this case the authors argue that compliance may reduce already-existing efficiency losses.
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Drusilla Brown & Alan Deardorff & Robert Stern, 1998.
"Trade and Labor Standards,"
Open Economies Review,
Springer, vol. 9(2), pages 171-194, April.
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Other versions:
Brown, K.D. & Deardorff, A.V. & Stern, R.M., 1997.
"Trade and Labor Standards,"
Working Papers
394, Research Seminar in International Economics, University of Michigan.