We introduce and solve a new class of "downward-recursive" static portfolio choice problems. An individual simultaneously chooses among ranked stochastic options, and each choice is costly. In the motivational application, just one may be exercised from those that succeed. This often emerges in practice, such as when a student applies to many colleges. We show that a greedy algorithm finds the optimal set. The optimal choices are "less aggressive" than the sequentially optimal ones, but "more aggressive" than the best singletons. The optimal set in general contains gaps. We provide a comparative static on the chosen set.
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Hector Chade & Lones Smith, .
"Simultaneous Search,"
Working Papers
2168591, Department of Economics, W. P. Carey School of Business, Arizona State University.
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Find related papers by JEL classification: C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search
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Hector Chade & Lones Smith, .
"Simultaneous Search,"
Working Papers
2168591, Department of Economics, W. P. Carey School of Business, Arizona State University.
[Downloadable!]
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Hector Chade & Lones Smith, .
"Simultaneous Search,"
Working Papers
2168591, Department of Economics, W. P. Carey School of Business, Arizona State University.
[Downloadable!]