Optimal control of inequality under uncertainty
AbstractWe consider the optimal control of inequality under uncertainty, with a particular focus on income inequality. For an economy experiencing economic growth and random shocks, we show how a simple loss and `bequest' function may be combined to guide the expected level of inequality towards a pre-defined target within a finite planning horizon. Closed form solutions show that, the stronger the shocks to the income distribution, the more aggressive is policy. We discuss the results in the context of recent applied and policy literature on social inequality, globalisation and economic instability.
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Bibliographic InfoPaper provided by Department of Economics, University of York in its series Discussion Papers with number 12/07.
Date of creation: Mar 2012
Date of revision:
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Postal: Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
Web page: http://www.york.ac.uk/economics/
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Globalisation; Inequality; Stochastic dynamic programming;
Other versions of this item:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
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