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OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH
Swansea University Author:
Yohan Pelosse
Abstract
This paper characterizes the optimisation problem involved in the optimalallocation of an indivisible prize in two-players discrete time contests with exogenousstochastic deadline. The organizer can choose any lottery to allocate the prize to onecontestant. Its objective is to maximize its expected...
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71996 |
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2026-05-31T09:16:14Z |
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2026-05-31T09:16:14Z |
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cronfa71996 |
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SURis |
| fullrecord |
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v2 71996 2026-05-31 OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH 455a04210e95a07e6fbea54f2cc4d6be 0000-0001-8546-918X Yohan Pelosse Yohan Pelosse true false 2026-05-31 SOSS This paper characterizes the optimisation problem involved in the optimalallocation of an indivisible prize in two-players discrete time contests with exogenousstochastic deadline. The organizer can choose any lottery to allocate the prize to onecontestant. Its objective is to maximize its expected revenue by implementing theprofile of strategies where both players exert their maximal effort levels, at theminimum prize. In our main result we show that the optimal prize is obtained when theplayers’ ’intertemporal incentive’ functions are the solution of an induced Dirichletproblem on a discrete Markov chain. This solution represents the expected realisationof the Markovian process describing the players’ relative progress hitting a ’benchmarkoutperformance’ (boundary). The Dirichlet solution is attained when the optimalallocation of the prize coincides with the piecewise linear difference-form contestsuccess function of Che and Gale (1998). This result notably permits to connect theoptimality of difference-form CSFs to the family of contests with a Markovian stochasticprocess. Working paper 0 0 0 0001-01-01 COLLEGE NANME Social Sciences School COLLEGE CODE SOSS Swansea University Not Required 2026-05-31T10:16:11.7709964 2026-05-31T10:12:19.5842546 Faculty of Humanities and Social Sciences School of Social Sciences - Economics Yohan Pelosse 0000-0001-8546-918X 1 |
| title |
OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH |
| spellingShingle |
OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH Yohan Pelosse |
| title_short |
OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH |
| title_full |
OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH |
| title_fullStr |
OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH |
| title_full_unstemmed |
OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH |
| title_sort |
OPTIMAL DYNAMIC DIFFERENCE-FORM CONTESTS: THE PROBABILISTIC DIRICHLET APPROACH |
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455a04210e95a07e6fbea54f2cc4d6be |
| author_id_fullname_str_mv |
455a04210e95a07e6fbea54f2cc4d6be_***_Yohan Pelosse |
| author |
Yohan Pelosse |
| author2 |
Yohan Pelosse |
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Working paper |
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Swansea University |
| college_str |
Faculty of Humanities and Social Sciences |
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|
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facultyofhumanitiesandsocialsciences |
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Faculty of Humanities and Social Sciences |
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facultyofhumanitiesandsocialsciences |
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Faculty of Humanities and Social Sciences |
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School of Social Sciences - Economics{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Economics |
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| description |
This paper characterizes the optimisation problem involved in the optimalallocation of an indivisible prize in two-players discrete time contests with exogenousstochastic deadline. The organizer can choose any lottery to allocate the prize to onecontestant. Its objective is to maximize its expected revenue by implementing theprofile of strategies where both players exert their maximal effort levels, at theminimum prize. In our main result we show that the optimal prize is obtained when theplayers’ ’intertemporal incentive’ functions are the solution of an induced Dirichletproblem on a discrete Markov chain. This solution represents the expected realisationof the Markovian process describing the players’ relative progress hitting a ’benchmarkoutperformance’ (boundary). The Dirichlet solution is attained when the optimalallocation of the prize coincides with the piecewise linear difference-form contestsuccess function of Che and Gale (1998). This result notably permits to connect theoptimality of difference-form CSFs to the family of contests with a Markovian stochasticprocess. |
| published_date |
0001-01-01T10:16:14Z |
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1866694891220762624 |
| score |
11.106693 |

