Skip to main content
Journal cover image

A simple mechanism for a budget-constrained buyer

Publication ,  Conference
Cheng, Y; Gravin, N; Munagala, K; Wang, K
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2018

We study a classic Bayesian mechanism design setting of monopoly problem for an additive buyer in the presence of budgets. In this setting a monopolist seller with m heterogeneous items faces a single buyer and seeks to maximize her revenue. The buyer has a budget and additive valuations drawn independently for each item from (non-identical) distributions. We show that when the buyer’s budget is publicly known, the better of selling each item separately and selling the grand bundle extracts a constant fraction of the optimal revenue. When the budget is private, we consider a standard Bayesian setting where buyer’s budget b is drawn from a known distribution B. We show that if b is independent of the valuations and distribution B satisfies monotone hazard rate condition, then selling items separately or in a grand bundle is still approximately optimal. We give a complementary example showing that no constant approximation simple mechanism is possible if budget b can be interdependent with valuations.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783030046118

Publication Date

January 1, 2018

Volume

11316 LNCS

Start / End Page

96 / 110

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cheng, Y., Gravin, N., Munagala, K., & Wang, K. (2018). A simple mechanism for a budget-constrained buyer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11316 LNCS, pp. 96–110). https://doi.org/10.1007/978-3-030-04612-5_7
Cheng, Y., N. Gravin, K. Munagala, and K. Wang. “A simple mechanism for a budget-constrained buyer.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11316 LNCS:96–110, 2018. https://doi.org/10.1007/978-3-030-04612-5_7.
Cheng Y, Gravin N, Munagala K, Wang K. A simple mechanism for a budget-constrained buyer. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. p. 96–110.
Cheng, Y., et al. “A simple mechanism for a budget-constrained buyer.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11316 LNCS, 2018, pp. 96–110. Scopus, doi:10.1007/978-3-030-04612-5_7.
Cheng Y, Gravin N, Munagala K, Wang K. A simple mechanism for a budget-constrained buyer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. p. 96–110.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783030046118

Publication Date

January 1, 2018

Volume

11316 LNCS

Start / End Page

96 / 110

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences