TY - CHAP
T1 - Precautionary effect and variations of the value of information
AU - De Lara, Michel
AU - Gilotte, Laurent
N1 - Publisher Copyright:
© Springer Science+Business Media, LLC 2010.
PY - 2010/1/1
Y1 - 2010/1/1
N2 - Consider an agent taking two successive decisions under uncertainty. After his first decision, a signal is revealed providing information about the state of nature and the second decision is taken accordingly. Suppose that the agent is an expected utility maximizer. The precautionary effect holds when, in the prospect of future information, his optimal initial decision is less than without (no signal). Indeed, the first decision is usually a scalar representing consumption, so that pre- caution is identified with less consumption. We introduce the second-period value of information as a function of the initial decision and show that, when this func- tion is decreasing, the precautionary effect holds true. More generally the condition enables the comparison of optimal decisions related to different signals, not necessarily comparable. It also ties together and clarifies many conditions for the precautionary effect that are scattered in the environmental economics literature. A practical illustration with Nordhaus’ DICE model is provided.
AB - Consider an agent taking two successive decisions under uncertainty. After his first decision, a signal is revealed providing information about the state of nature and the second decision is taken accordingly. Suppose that the agent is an expected utility maximizer. The precautionary effect holds when, in the prospect of future information, his optimal initial decision is less than without (no signal). Indeed, the first decision is usually a scalar representing consumption, so that pre- caution is identified with less consumption. We introduce the second-period value of information as a function of the initial decision and show that, when this func- tion is decreasing, the precautionary effect holds true. More generally the condition enables the comparison of optimal decisions related to different signals, not necessarily comparable. It also ties together and clarifies many conditions for the precautionary effect that are scattered in the environmental economics literature. A practical illustration with Nordhaus’ DICE model is provided.
KW - Learning
KW - Precautionary effect. JEL Classification: D83
KW - Uncertainty
KW - Value of information
UR - https://www.scopus.com/pages/publications/84955165546
U2 - 10.1007/978-1-4419-1129-2_8
DO - 10.1007/978-1-4419-1129-2_8
M3 - Chapter
AN - SCOPUS:84955165546
T3 - International Series in Operations Research and Management Science
SP - 239
EP - 253
BT - International Series in Operations Research and Management Science
PB - Springer New York LLC
ER -