Modeling in Natural Resource Economics: Forecasting Electricity Demand, and SimulatingLandowner Response to Wildfire Risk

Modeling in Natural Resource Economics: Forecasting Electricity Demand, and SimulatingLandowner Response to Wildfire Risk
Автор
 
Год
 
Страниц
 
356
ISBN
 
363906514X
Издатель
 
Virgin Books
Категория
 
Новые поступления. Бизнес и экономика

Содержание:

Калека, Постоянный пациент, Желтая маска, Неудачная мистификация, Роковая тайна

Описание:

This work presents three modeling techniques appliedto natural resource economics. Chapter I makes use ofordinary least-squares regression analysis (OLS) toinvestigate the effects of climate warming onelectricity demand. Using hourly models and data forthe U.S. mid-Atlantic, the model predicts a 4.6%Chapter II offers an introduction to modeling withartificial neural networks (ANNs) for researchersfamiliar with OLS techniques. The general form of anANN is shown to be equivalent to a nested series ofOLS models. The forecasting exercise from Chapter Iis recast in the ANN framework to provide an exampleof applying ANNs to economic studies, including ananalysis of the forecast residuals. Chapter III presents a model of forest-landownerbehavior in the context of managing timberlandsubject to wildfire. The model is used to examine theimpacts of externalities associated with fire risk:(1) the public-good aspect of privately funded fireprevention, and (2) moral hazard associated withpublicly...

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