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[no subject]
"
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. See Hole (2007) for a
comparison of the accuracy of the methods in this context.
Any number >1 of variable names may be specified. The first is
taken to be the cost variable, i.e. the
variable which coefficient is the denominator in the ratios. wtp
returns and displays a 3xk matrix,
r(wtp), where k is the number of specified variables other than
the cost variable. The first row in
r(wtp) contains the WTP estimates and the second and third rows
contain the lower and upper confidence
limits of the WTP estimates.
"
To get a better answer you need to tell us a) what you want to do and
b) what you find unclear.
Arne
On 1 September 2012 14:29, Afif Naeem <[email protected]> wrote:
> I did that. I am very confused as to how to interpret the output of the command. Any comments are welcome.
>
> Afif
>
>
> ----------------------------------------
>> Date: Fri, 31 Aug 2012 22:54:23 -0700
>> From: [email protected]
>> Subject: Re: st: -wtp- command by Hole
>> To: [email protected]
>>
>> you can use -findit wtp- to find this command and then install it. After installation, -help wtp- will give you description and examples.
>> Regards
>>
>>
>> Saqlain RAZA
>> PhD Scholar
>>
>>
>> ________________________________
>> From: Afif Naeem <[email protected]>
>> To: [email protected]
>> Sent: Friday, August 31, 2012 10:55 PM
>> Subject: st: -wtp- command by Hole
>>
>> Hello,
>>
>> I am having a hard time trying to figure out the code for -wtp- command written by Arne Hole. I know this command can compute confidence intervals using Krinsky-Robb, delta or Fieller's method. What the code will be, and how to interpret the results obtained after the following Probit model.
>>
>> e.g:
>>
>> Probit wtp_dummy X1 X2 X3 X4 X5
>>
>> Thanks
>> Afif
>>
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>
> *
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*
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