AP: Albemarle-Pamlico sounds CVM data
In DCchoice: Analyzing Dichotomous Choice Contingent Valuation Data
AP R Documentation
Albemarle-Pamlico sounds CVM data
Description
Double-bounded dichotomous choice survey data for quality inprovements in
the Albemarle-Pamlico sounds, North Carolina.
Usage
data(AP)
Format
a data frame containing 721 observations.
- bid1
a vector of bids expressd in USD.
- bid2
a vector of bids expressd in USD.
- R1
a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.
- R2
a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.
- income
a numeric vrector containing the annual household income in 1995 USD of the respondent
- work
a vector of binary dummies equal to 1 if the respondent is employed in fulltime and 0 otherwise.
- age
a numeric vector containing the age of the respondent.
- female
a vector of binary dummies equal to 1 if the respondent is female and 0 otherwise.
- married
a vector of binary dummies equal to 1 if the respondent is married and 0 otherwise.
Details
The original data are based on a telephone survey regarding quality improvements
in the Albemarle-Pamlico sounds, North Carolina. The data were intensively analyzed,
for instance, in Whitehead (1995) and Whitehead, et. al. (1998) in different contexts. Details of the survey can be
found in the web site (see Source for the URL).
The original data have $1077$ observations and include the bids and the responses
of the double-bounded dichotomous choice survey. Various socio-demographic
characteristics are also collected by the survey.
A subset of the data consisting of the responses to the CVM questions
as well as minimum number of socio-demographic characteristics. In addition,
observations with missing values were removed from the subset.
Source
The complete data and details can be obtained in the online version of
Whitehead (2015).
The data are included here under kind permission from Professor
John Whitehead, Appalachian State University.
References
Whitehead JC (1995).
“Willingness to Pay for Quality Improvements: Comparative
Statics and Interpretation of Contingent Valuation Results.”
Land Economics, 71(2), 207–215.
Whitehead JC (2015).
“Albemarle-Pamlico Sounds Revealed and Stated Preference Data.”
Data in Brief, 3, 90–94.
Whitehead JC, Haab TC, Huang JC (1998).
“Part-Whole Bias in Contingent Valuation: Will Scope Effects
be Detected with Inexpensive Survey Methods?”
Southern Economic Journal, 65(1), 160–168.
DCchoice documentation built on July 26, 2023, 6:11 p.m.
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Albemarle-Pamlico sounds CVM data
Description
Double-bounded dichotomous choice survey data for quality inprovements in the Albemarle-Pamlico sounds, North Carolina.
Usage
data(AP)
Format
a data frame containing 721 observations.
- bid1
a vector of bids expressd in USD.
- bid2
a vector of bids expressd in USD.
- R1
a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.
- R2
a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.
- income
a numeric vrector containing the annual household income in 1995 USD of the respondent
- work
a vector of binary dummies equal to 1 if the respondent is employed in fulltime and 0 otherwise.
- age
a numeric vector containing the age of the respondent.
- female
a vector of binary dummies equal to 1 if the respondent is female and 0 otherwise.
- married
a vector of binary dummies equal to 1 if the respondent is married and 0 otherwise.
Details
The original data are based on a telephone survey regarding quality improvements in the Albemarle-Pamlico sounds, North Carolina. The data were intensively analyzed, for instance, in Whitehead (1995) and Whitehead, et. al. (1998) in different contexts. Details of the survey can be found in the web site (see Source for the URL).
The original data have $1077$ observations and include the bids and the responses of the double-bounded dichotomous choice survey. Various socio-demographic characteristics are also collected by the survey.
A subset of the data consisting of the responses to the CVM questions as well as minimum number of socio-demographic characteristics. In addition, observations with missing values were removed from the subset.
Source
The complete data and details can be obtained in the online version of Whitehead (2015).
The data are included here under kind permission from Professor John Whitehead, Appalachian State University.
References
Whitehead JC (1995). “Willingness to Pay for Quality Improvements: Comparative Statics and Interpretation of Contingent Valuation Results.” Land Economics, 71(2), 207–215.
Whitehead JC (2015). “Albemarle-Pamlico Sounds Revealed and Stated Preference Data.” Data in Brief, 3, 90–94.
Whitehead JC, Haab TC, Huang JC (1998). “Part-Whole Bias in Contingent Valuation: Will Scope Effects be Detected with Inexpensive Survey Methods?” Southern Economic Journal, 65(1), 160–168.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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