A single-bounded dichotomous choice CVM data analyzed in
 Kristr\"om (1990).

datasets

DCchoice

Functions for analyzing dichotomous choice contingent
valuation (CV) data. It provides functions for estimating parametric and
nonparametric models for single-, one-and-one-half-, and double-bounded
CV data. For details, see Aizaki et al. (2014) <doi:10.1201/b17292>.

Hideo Aizaki

Analyzing Dichotomous Choice Contingent Valuation Data

Tomoaki Nakatani

Kazuo Sato

KR function

A data frame of single-bounded dichotomous choice contingent 
 valuation survey data. The number of observations is 562.
<dl>
 <dt>bid1</dt>
<dd>a vector of bids expressd in SEK.</dd> <dt>R1</dt>
<dd>a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.</dd> 
</dl>

Format

Kristr\"om's single-bounded dichotomous choice CVM data — KR

A data frame of single-bounded dichotomous choice contingent 
 valuation survey data. The number of observations is 562.
<dl>
 <dt>bid1</dt>
<dd>a vector of bids expressd in SEK.</dd>

 <dt>R1</dt>
<dd>a vector of binary dummies equal to 1 if the bid is accepted and 0 otherwise.</dd>

 
</dl>

KR: Kristr\"om's single-bounded dichotomous choice CVM data

Description

Usage

Arguments

Format

Details

References