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Re: st: MEAN and MEDIAN of WTP in double-bounded dichotomous CV


From   "Arne Risa Hole" <[email protected]>
To   [email protected]
Subject   Re: st: MEAN and MEDIAN of WTP in double-bounded dichotomous CV
Date   Thu, 8 Feb 2007 11:14:36 +0000

Hi Bui,

Having had a quick look through the paper it looks like you will have
to write your own -ml- evaluator for this problem (for those who are
interested the full reference is given below). Having done that you
could use -wtp- to get CIs for your WTP measures.

Hope this helps.

Arne

Michael Hanemann, John Loomis, Barbara Kanninen. 1991. Statistical
Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation.
American Journal of Agricultural Economics, Vol. 73, No. 4, pp.
1255-1263.


On 08/02/07, Bui Dang Dat <[email protected]> wrote:
Dear Arne and Stata users,

Thank you very much for your information. I would like to ask whether can we
use Stata to obtain MEAN and MEDIAN of WTP in double-bounded dichotomous
contingent valuation study? example of this type study is done by Michael
Hanemann et al. 1991, "Statistical Efficiency of Double-Bounded Dichotomous
Choice Contingent Valuation".
Thank you very much for reading.
Best regards,

----- Original Message -----
From: "Arne Risa Hole" <[email protected]>
To: <[email protected]>
Sent: Tuesday, January 30, 2007 11:01 PM
Subject: st: New package -wtp- is available from SSC


> Dear all,
>
> Thanks to Kit Baum the -wtp- package is now available on SSC.
>
> -wtp- estimates confidence intervals for willingness to pay (WTP)
> measures of the type -b_k/b_c, where b_c is the cost coefficient and
> b_k is the coefficient for attribute x_k. It uses one of three
> methods: the delta method, Fieller's method or the Krinsky Robb
> (parametric bootstrap) method.
>
> To install the package type -ssc install wtp-.
>
> Comments, suggestions and bug reports are welcome.
>
> Best wishes,
> Arne
>
> Arne Risa Hole
> Research Fellow
> Centre for Health Economics
> Alcuin 'A' Block
> University of York
> York YO10 5DD
> UK
>
> Tel:   +44 (0)1904 321404
> Email: [email protected]
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>

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