Carson {DCchoice}

Exxon Valdez Oil Spill CVM data

Description

Contingency tables for the suggested bids and the number of respondents saying yes or no to the bids in the Exxon Valdez Oil Spill CVM survey.

Usage

data(CarsonSB)
data(CarsonDB)

Format

Both CarsonSB and CarsonDB are data frame objects of contingency tables.

For CarsonSB,

T1

a bid expressd in USD.

Y

a number of respondents accepting the bid.

N

a number of respondents not accepting the bid.

For CarsonDB,

T1

a first stage bid expressd in USD.

TU

a second stage bid increased from the first one, expressd in USD.

TL

a second stage bid decreased from the first one, expressd in USD.

yy

a number of respondents accepting both the first and the second bids.

yn

a number of respondents accepting only the first bid.

ny

a number of respondents accepting only the second bid.

nn

a number of respondents not accepting the first nor the second bids.

Details

Out of CarsonSB and CarsonSB, one may reconstruct the original yes/no type of data for 1043 observations. See the example for CarsonSB.

Source

CarsonSB and CarsonDB are reproduced from Tables A-15, A-16 and A-17 in Appendix C.1 of Carson et.al (1992).

The data are included under kind permission from Professor Richard T. Carson of University of California, San Diego.

References

Carson RT, Mitchell RC, Hanemann WM, Kopp RJ, Presser S, Ruud PA (1992). “A Contingent Valuation Study of Lost Passive Use Values Resulting from the Exxon Valdez Oil Spill.” Technical Report Report to the Attorney General of the State of Alaska, Natural Resource Damage Assessment Inc. https://mpra.ub.uni-muenchen.de/6984/.

See Also

ct2df

Examples

## The following lines of code reconstruct the original yes/no type of data 
## for 1043 observations. A data frame object sb.data consists of two variables, 
## namely, bid1 and R1. The conversion into a simole data frame object can be 
## done either manually or by using the \code{ct2df} function. 
data(CarsonSB)

## Using the \code{ct2df} function
CarsonSB.dat <- ct2df(
  x    = CarsonSB,
  bid1 = "T1",
  y    = "Y",
  n    = "N",
  type = "single")
head(CarsonSB.dat)

# Manual conversion
n <- rowSums(CarsonSB[, -1])
sb.data <- data.frame(
  bid = c(rep(CarsonSB$T1[1], n[1]), 
          rep(CarsonSB$T1[2], n[2]), 
          rep(CarsonSB$T1[3], n[3]), 
          rep(CarsonSB$T1[4], n[4])), 
  R1 = c(rep(1, CarsonSB$Y[1]), rep(0, CarsonSB$N[1]),
         rep(1, CarsonSB$Y[2]), rep(0, CarsonSB$N[2]),
         rep(1, CarsonSB$Y[3]), rep(0, CarsonSB$N[3]),
         rep(1, CarsonSB$Y[4]), rep(0, CarsonSB$N[4]))
)
dim(sb.data)
head(sb.data)

## Double-bounded dichotomous choice CV format.
data(CarsonDB)
CarsonDB
CarsonDB.dat <- ct2df(
  x     = CarsonDB,
  bid1  = "T1",
  bid2h = "TU",
  bid2l = "TL",
  yy    = "yy",
  yn    = "yn",
  ny    = "ny",
  nn    = "nn",
  type  = "double")
head(CarsonDB.dat)

## An example of manual conversion is omitted. 
## See Appendix 2.A of Aizaki, et. al. (2014).