Abstract
Schelling (in Micromotives and Macrobehavior, Norton, New York, 1978) suggested a simple binary choice model to explain the variation of corruption levels across societies. His basic idea was that the expected profitability of engaging in corruption depends on its prevalence. The key result of the so-called Schelling diagram is the existence of multiple equilibria and a tipping point. The present paper puts Schelling’s essentially static approach into an intertemporal setting. We show how the existence of an unstable interior steady state leads to thresholds such that history alone or history in addition to expectations (or coordination) is necessary to determine the long-run outcome. In contrast to the related literature, which classifies these two cases according to whether the unstable equilibrium is a node or a focus, the actual differentiation is more subtle because even a node can lead to an overlap of solution paths such that the initial conditions alone are insufficient to uniquely determine the competitive equilibrium. Another insight is that a (transiently) cycling competitive equilibrium can dominate the direct and monotonic route to a steady state, even if the direct route is feasible.
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Notes
In particular, we omit the discussion of the shape of the marginal utilities U X (i,X) for i=0,1; see, however, Andvig [15].
Subscript B refers to the corresponding point in the Schelling diagram.
For a detailed presentation of the Lagrangian technique taking into consideration inequality constraints, see Grass et al. [27, Sect. 3.6].
For this reason, the payoff comparisons are irrelevant. To stress this point, note that the pure externality terms, here −δX 2, affect the payoffs but not the dynamics. Hence, by choosing a proper δ, we can choose the Pareto-dominant outcome at will.
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Acknowledgements
The authors like to thank Marjorie Carlson, two referees, and the editor for their helpful comments. This research was supported by the Austrian Science Fund (FWF) under Grant P21410-G16 and P23084-N13.
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Caulkins, J.P., Feichtinger, G., Grass, D. et al. A Dynamic Analysis of Schelling’s Binary Corruption Model: A Competitive Equilibrium Approach. J Optim Theory Appl 161, 608–625 (2014). https://doi.org/10.1007/s10957-013-0420-7
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DOI: https://doi.org/10.1007/s10957-013-0420-7