KR: Kristr\"om's single-bounded dichotomous choice CVM data
In DCchoice: Analyzing Dichotomous Choice Contingent Valuation Data
KR R Documentation
Kristr\"om's single-bounded dichotomous choice CVM data
Description
A single-bounded dichotomous choice CVM data analyzed in
Kristr\"om (1990).
Usage
data(KR)
Format
A data frame of single-bounded dichotomous choice contingent
valuation survey data. The number of observations is 562.
- bid1
a vector of bids expressd in SEK.
- R1
a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.
Details
The data consist of the responses to the single-bounded dichotomous
choice survey for a sample of 562 Swedes regarding preservation of
the eleven virgin forests in Sweden. See Kristr\"om (1990)
for more details.
Source
The data are used in Kristr\"om (1990).
The data are bundled in this package under kind permission from
Professor Bengt Kristr\"om, Swedish University of Agricultural Sciences.
References
Kristr\"om B (1990).
“A Non-Parametric Approach to the Estimation of Welfare
Measures in Discrete Response Valuation Studies.”
Land Economics, 66(2), 135–139.
DCchoice documentation built on July 26, 2023, 6:11 p.m.
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| KR | R Documentation |
Kristr\"om's single-bounded dichotomous choice CVM data
Description
A single-bounded dichotomous choice CVM data analyzed in Kristr\"om (1990).
Usage
data(KR)
Format
A data frame of single-bounded dichotomous choice contingent valuation survey data. The number of observations is 562.
- bid1
a vector of bids expressd in SEK.
- R1
a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.
Details
The data consist of the responses to the single-bounded dichotomous choice survey for a sample of 562 Swedes regarding preservation of the eleven virgin forests in Sweden. See Kristr\"om (1990) for more details.
Source
The data are used in Kristr\"om (1990).
The data are bundled in this package under kind permission from Professor Bengt Kristr\"om, Swedish University of Agricultural Sciences.
References
Kristr\"om B (1990). “A Non-Parametric Approach to the Estimation of Welfare Measures in Discrete Response Valuation Studies.” Land Economics, 66(2), 135–139.
R Package Documentation
Browse R Packages
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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