DISSERTATION

Essays in optimal resource allocation under uncertainty with capacity constraints

Elizabeth Hoffman

Year: 2014 University:   CaltechTHESIS (California Institute of Technology)   Publisher: California Institute of Technology

Abstract

This thesis brings together four papers on optimal resource allocation under uncertainty with capacity constraints. The first is an extension of the Arrow-Debreu contingent claim model to a good subject to supply uncertainty for which delivery capacity has to be chosen before the uncertainty is resolved. The second compares an ex-ante contingent claims market to a dynamic market in which capacity is chosen ex-ante and output and consumption decisions are made ex-post. The third extends the analysis to a storable good subject to random supply. Finally, the fourth examines optimal allocation of water under an appropriative rights system.

Keywords:
Ex-ante Economics Resource allocation Arrow Consumption (sociology) Microeconomics Resource (disambiguation) Econometrics Computer science Macroeconomics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.17
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

European Monetary and Fiscal Policies
Social Sciences →  Economics, Econometrics and Finance →  Finance

Related Documents

JOURNAL ARTICLE

Optimal resource allocation task under usage constraints

O.O. MaliienkoV.A. Turchyna

Journal:   System technologies Year: 2025 Vol: 2 (157)Pages: 75-81
JOURNAL ARTICLE

Optimal sequential selection and resource allocation under uncertainty

Shirish D. Chikte

Journal:   Advances in Applied Probability Year: 1980 Vol: 12 (4)Pages: 942-957
JOURNAL ARTICLE

Optimal sequential selection and resource allocation under uncertainty

Shirish D. Chikte

Journal:   Advances in Applied Probability Year: 1980 Vol: 12 (04)Pages: 942-957
JOURNAL ARTICLE

Resource Allocation Under Uncertainty

Bernt P. Stigum

Journal:   International Economic Review Year: 1972 Vol: 13 (3)Pages: 431-431
© 2026 ScienceGate Book Chapters — All rights reserved.