رکورد قبلیرکورد بعدی

" Microbehavioral econometric methods "


Document Type : BL
Record Number : 612529
Doc. No : dltt
Main Entry : Seo, Sungno Niggol.
Title & Author : Microbehavioral econometric methods : theories, models, and applications for the study of environmental and natural resources /\ S. Niggol Seo, Muaebak Institute of Global Warming Studies, Seoul, Korea.
Publication Statement : London :: Academic Press,, [2016]
ISBN : 9780128041369
: : 0128041366
Bibliographies/Indexes : Includes bibliographical references and index.
Contents : Machine generated contents note: 1.Introduction to the Microbehavioral Econometric Methods for the Study of Environmental and Natural Resources -- Exercises -- References -- 2.Modeling Microbehavioral Decisions: Economic Perspectives -- Exercises -- References -- 3.Modeling Microbehavioral Decisions: Statistical Considerations -- 3.1.Binomial choice models -- 3.2.Selection bias problem -- 3.3.Multinomial logit models -- 3.4.Multinomial selection bias correction models -- 3.5.Mixed logit and simulation-based methods -- 3.6.Spatial econometric models -- 3.7.Modeling choices from panel data -- 3.8.Monte Carlo experiments of selection bias correction methods -- Exercises -- References -- 4.Application of the Microbehavioral Econometric Methods to Microdecisions Under Global Warming -- 4.1.A theory of the microbehavioral model of agricultural systems -- 4.2.Data and sources -- 4.3.Descriptive statistics of sample data -- 4.4.Applications of the microbehavioral econometric methods --
: Note continued: 4.5.Future climate simulations -- 4.6.Description of policy implications -- Exercises -- References -- 5.Modeling Microbehavioral Decisions: Modeling the Whole System Versus the Subsystems -- 5.1.A theory of the Ricardian model for capturing adaptation behaviors -- 5.2.Data and descriptive statistics -- 5.3.Empirical results from the Ricardian analysis -- 5.4.Future climate simulations from the Ricardian model -- 5.5.Ricardian model versus the microbehavioral model -- 5.6.Additional insights and upshots -- Exercises -- References -- 6.Modeling a Complex Structure in Microbehavioral Methods in Tandem With Changes in Global Ecosystems -- 6.1.Changes in natural systems caused by anthropogenic interventions -- 6.2.Natural resource enterprises across ecosystems of South America -- 6.3.A theory of the microbehavioral model of natural resource enterprises -- 6.4.Data, sources, and descriptive statistics --
: Note continued: 6.5.Empirical results from the microbehavioral model of natural resource enterprises -- 6.6.Future simulations with climate change scenarios -- 6.7.Further insights on structural complexity and ecosystem changes -- Exercises -- References -- 7.Modeling Risk, Perceptions, and Uncertainties With Microbehavioral Methods -- 7.1.Measures of risk -- 7.2.Risk and return in the portfolio theory -- 7.3.Attitudes toward risk -- 7.4.Futures and options -- 7.5.Insurance and subsidy -- 7.6.Theory of a bubble and speculative asset prices -- 7.7.Prospect theory and psychology -- 7.8.Extreme events and fat-tailed distributions -- Exercises -- References -- 8.Gleaning Insights From Microbehavioral Models on Environmental and Natural Resource Policies -- Exercises -- References.
Abstract : 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.
Subject : Environmental economics-- Econometric models.
Added Entry : ScienceDirect (Online service).
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