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Microbehavioral econometric methods : theories, models, and applications for the study of environmental and natural resources

By: Niggol, Seo
Material type: BookPublisher: London, UK : Academic Press is an imprint of Elsevier, c2016.Description: xii, 313 p. : ill. ; 24 cm.ISBN: 9780128041369Subject(s): Environmental economics -- Econometric models | Econometrics | Economics -- Psychological aspectsDDC classification: 330.015195 NI MI Online resources: Location Map
Summary:
Microbehavioral Econometric Methods and Environmental Studies uses microeconometric methods to model the behavior of individuals, then demonstrates the modelling approaches in addressing policy needs. It links theory and methods with applications, and it incorporates data to connect individual choices and global environmental issues. This extension of traditional environmental economics presents modeling strategies and methodological techniques, then applies them to hands-on examples.Throughout the book, readers can access chapter summaries, problem sets, multiple household survey data with regard to agricultural and natural resources in Sub-Saharan Africa, South America, and India, and empirical results and solutions from the SAS software.
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Item type Home library Call number Status Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection
330.015195 NI MI (Browse shelf) Available T0054640
Total holds: 0

Includes index.

Microbehavioral Econometric Methods and Environmental Studies uses microeconometric methods to model the behavior of individuals, then demonstrates the modelling approaches in addressing policy needs. It links theory and methods with applications, and it incorporates data to connect individual choices and global environmental issues. This extension of traditional environmental economics presents modeling strategies and methodological techniques, then applies them to hands-on examples.Throughout the book, readers can access chapter summaries, problem sets, multiple household survey data with regard to agricultural and natural resources in Sub-Saharan Africa, South America, and India, and empirical results and solutions from the SAS software.

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