Data/hora: 09/06/2024 08:39:22

Provedor de dados: | Research in Agricultural & Applied Economics (AgEcon Searh)
País: | United States
Título: | Calibrated Stochastic Dynamic Models for Resource Management
Autores: | Howitt,   Richard E.; Reynaud,   Arnaud; Msangi,   Siwa; Knapp,   Keith C.
Data: | 2002-05-13
Ano: | 2002
Palavras-chave: | Resource /Energy Economics and Policy.
Resumo: | In this paper we develop a positive calibrated approach to stochastic dynamic programming. Risk aversion, discount rate, and intertemporal substitution preferences of the decision-maker are calibrated by a procedure that minimizes the mean squared error from data on past decisions. We apply this framework to managing stochastic water supplies from Oroville Reservoir, located in Northern California. The calibrated positive SDP closely reproduces the historical storage and releases from the dam and shows sensitivity of optimal decisions to a decision-maker's risk aversion and intertemporal preferences. The calibrated model has average prediction errors that are substantially lower than those from the model with an expected net present value objective.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês

Identificador:

4388

http://purl.umn.edu/19620

Editor: | AgEcon Search

Relação:

American Agricultural Economics Association&gt;2002 Annual meeting, July 28-31, Long Beach, CA

Selected Paper

Formato:

22

application/pdf