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Preference data for environmental valuation : combining revealed and stated approaches /

Contributor(s): Whitehead, John Claiborne, 1963- | Haab, Timothy C, 1969- | Huang, Ju-chin.
Material type: TextTextSeries: Routledge explorations in environmental economics, 31.Publisher: New York : Routledge, 2011Description: xx, 330 p. : ill. ; 24 cm.ISBN: 9780415774642 (hb : alk. paper); 9780203828991 (eb : alk. paper).Subject(s): Economía medioambiental | Recursos naturalesDDC classification: 333.7
Partial contents:
Parte 1. Theory and methods.
Joint estimation of stated and revealed welfare measures: the conceptual basis.
Kenneth E. McConnell.
The basics of estimating preference functions for combining stated and revealed preferences.
Timothy C. Haab.
Dichotomous and frequency data joint estimation.
John C. Whitehead.
Combining dichotomous choice willingness to pay response and recreation demand data.
Ju-Chin Huang.
Multiple choice discrete data joint estimation.
Parte 2. Frequency data.
Econometric models for joint estimation of revealed and stated preference site-frequency recreation demand models.
Craig E. Landry
Haiyong Liu
Combining multiple revealed and stated preference data sources: a recreation demand application
Daniel J. Phaneuf
Dietrich Earnhart
Combined conjoint-travel cost demand model for measuring the impact of erosion and erosion control programs on beach recreation
Ju-Chin Huang.
George R. Parsons.
P. Joan Poor.
Min Qiang Zhao
Using revealed and stated preference methods to value large ship artificial reefs: the Key West Vandenberg sinking
O. Ashton Morgan
William L. Huth
Combining revealed and stated preferences to identify hypothetical bias in repeated question surveys: a feedback model of seafood demand
Timothy C. Haab.
Bin Sun.
John C. Whitehead.
Parte 3. Mixed data.
Joint estimation and consumers' responses to pesticide risk.
Young Sook Eom.
V. Kerry Smith.
Local impacts of tropical forest logging: joint estimation of revealed and stated preference data from Ruteng, Indonesia.
David T . Butry.
Subhrendu K. Pattanayak.
Combining revealed preference and stated preference data without invoking the weak complementarity condition
Kevin J. Egan
Joint estimation of revealed and stated preference trip and willingness-to-pay data to estimate the benefits and impacts of an Atlantic lntracoastal Waterway dredging and maintenance program.
Christopher F. Dumas.
Jim Herstine.
John C. Whitehead.
Parte 4. Discrete data.
Gauging the value of short-term site closures in a travel-cost random utility model of recreation demand with a little help from stated preference data.
George R. Parsons.
Stela Stefanova.
Modeling behavioral response to changes in reservoir operations in the Tennessee Valley region
Paul M. Jakus.
John C. Bergstrom.
Marty Phillips.
Kelly Maloney.
Estimating the nonmarket value of green technologies using partial data enrichment techniques.
Brett R. Gelso.
Parte 5. Benefit transfer.
Are benefit transfers using a joint revealed and stated preference model more accurate than revealed and stated preference data alone?
Juan Marcos González-Sepúlveda.
John B. Loomis.
Benefits transfer of a third kind: an examination of structural benefits transfer.
George van Houtven.
Subhrendu K. Pattanayak.
Summet Patil.
Brooks Depro.
Conclusions and future research.
John C. Whitehead.
Timothy C. Haab.
Ju-Chin Huang
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Incluye referencias bibliográficas e índice.

Parte 1. Theory and methods.

Joint estimation of stated and revealed welfare measures: the conceptual basis.

Kenneth E. McConnell.

The basics of estimating preference functions for combining stated and revealed preferences.

Timothy C. Haab.

Dichotomous and frequency data joint estimation.

John C. Whitehead.

Combining dichotomous choice willingness to pay response and recreation demand data.

Ju-Chin Huang.

Multiple choice discrete data joint estimation.

Parte 2. Frequency data.

Econometric models for joint estimation of revealed and stated preference site-frequency recreation demand models.

Craig E. Landry

Haiyong Liu

Combining multiple revealed and stated preference data sources: a recreation demand application

Daniel J. Phaneuf

Dietrich Earnhart

Combined conjoint-travel cost demand model for measuring the impact of erosion and erosion control programs on beach recreation

Ju-Chin Huang.

George R. Parsons.

P. Joan Poor.

Min Qiang Zhao

Using revealed and stated preference methods to value large ship artificial reefs: the Key West Vandenberg sinking

O. Ashton Morgan

William L. Huth

Combining revealed and stated preferences to identify hypothetical bias in repeated question surveys: a feedback model of seafood demand

Timothy C. Haab.

Bin Sun.

John C. Whitehead.

Parte 3. Mixed data.

Joint estimation and consumers' responses to pesticide risk.

Young Sook Eom.

V. Kerry Smith.

Local impacts of tropical forest logging: joint estimation of revealed and stated preference data from Ruteng, Indonesia.

David T . Butry.

Subhrendu K. Pattanayak.

Combining revealed preference and stated preference data without invoking the weak complementarity condition

Kevin J. Egan

Joint estimation of revealed and stated preference trip and willingness-to-pay data to estimate the benefits and impacts of an Atlantic lntracoastal Waterway dredging and maintenance program.

Christopher F. Dumas.

Jim Herstine.

John C. Whitehead.

Parte 4. Discrete data.

Gauging the value of short-term site closures in a travel-cost random utility model of recreation demand with a little help from stated preference data.

George R. Parsons.

Stela Stefanova.

Modeling behavioral response to changes in reservoir operations in the Tennessee Valley region

Paul M. Jakus.

John C. Bergstrom.

Marty Phillips.

Kelly Maloney.

Estimating the nonmarket value of green technologies using partial data enrichment techniques.

Brett R. Gelso.

Parte 5. Benefit transfer.

Are benefit transfers using a joint revealed and stated preference model more accurate than revealed and stated preference data alone?

Juan Marcos González-Sepúlveda.

John B. Loomis.

Benefits transfer of a third kind: an examination of structural benefits transfer.

George van Houtven.

Subhrendu K. Pattanayak.

Summet Patil.

Brooks Depro.

Conclusions and future research.

John C. Whitehead.

Timothy C. Haab.

Ju-Chin Huang

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