This paper develops necessary and sufficient conditions for monotone comparative statics predictions in several general classes of stochastic optimization problems. There are two main results, where the first pertains to single crossing properties (of marginal returns, incremental returns, and indifference curves) in stochastic problems with a single random variable, and the second class involves log-supermodularity of functions with multiple random variables (where log-supermodularity of a density corresponds to the property affiliation from auction theory).
Download Info
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page
whether it is in fact available.
3. Perform a search for a similarly titled item that would be
available.
Publisher Info
Paper provided by Massachusetts Institute of Technology (MIT), Department of Economics in its series Working papers with number
96-22.
Length: 57 pages Date of creation: 1996 Date of revision: Handle: RePEc:mit:worpap:96-22
Contact details of provider: Postal: MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT), DEPARTMENT OF ECONOMICS, 50 MEMORIAL DRIVE CAMBRIDGE MASSACHUSETTS 02142 USA Phone: (617) 253-3361 Fax: (617) 253-1330 Web page: http://econ-www.mit.edu/ More information through EDIRC
Order Information: Postal: MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT), DEPARTMENT OF ECONOMICS, 50 MEMORIAL DRIVE CAMBRIDGE MASSACHUSETTS 02142 USA Email:
For technical questions regarding this item, or to correct its listing, contact: (Linda Woodbury).
Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
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.)