help doubleb
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Title

    doubleb --    Contingent Valuation using Double-Bounded Dichotomous
                   Choice


Syntax

        doubleb varlist [if] [in] [weight] [, level(#) noconstant ]


Description

    This command uses maximum likelihood (under the assumption of normality)
    to estimate the double-bounded dichotomous choice model for contingent
    valuation proposed by Hanemann, Loomis and Kanninen (1991). Haab and
    McConnell (2002, pp. 123-125) refer to this as the Interval Data Model.

Remarks

    The first and second variables in varlist should be the first and second
    bid variables, respectively. The third and fourth variables should be the
    dummies for the response to the first and second dichotomous choice
    questions, respectively. The remaining variables will be interpreted as
    covariates or control variables.


Note that the second bid variable refers to the actual bid offered after the in
> dividual has answered to the first bid.{p_end}

Examples

        . doubleb bid1 bid2 response1 response2

        . doubleb bid1 bid2 response1 response2 x1 x2

    Use file doubleb.dta to do the examples


Author

    Alejandro Lopez-Feldman
    Centro de Investigacion y Docencia Economicas, CIDE
    Email:  lopezfeldman@gmail.com


References

    Hanemann, M., Loomis, J and B. Kanninen. 1991. Statistical Efficiency of
        Double-Bounded Dichotomous Choice Contingent Valuation. American
        Journal of Agricultural Economics 73: 1255-63.

    Haab, T. and K, McConnell. 2002. Valuing Environmental and Natural
        Resources. The Econometrics of Non-Market Valuation.  Edward Elgar,
        Massachusetts.


Acknowledgments

    I thank Brett Day for sharing the Stata code that helped me to get