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st: Re: st: Re: st: Re: st: RE: Truncated sample or Heckman selection
From
Joerg Luedicke <[email protected]>
To
[email protected]
Subject
st: Re: st: Re: st: Re: st: RE: Truncated sample or Heckman selection
Date
Thu, 4 Oct 2012 17:10:05 -0500
If innovation success is defined as novelty sales divided by total
sales then, by definition, innovation success cannot be smaller than 0
and not be larger than 1. That means that if a firm is exclusively
selling old stuff, their innovation success is just zero. But why do
you think this measure is _censored_ at zero? Censoring means that
your values would be unbounded in principle, but you just do not
observe them below or above a certain value (or within an interval). A
classical example would be top coded income. In your case, if you fit
a Tobit model with a censoring point at zero, you would essentially
assume that this 0 actually means _0 or less_. But this makes no sense
as your values cannot be less than 0, by definition.
Joerg
On Thu, Oct 4, 2012 at 4:53 PM, Ebru Ozturk <[email protected]> wrote:
> Innovation success is heavily left-censored - many firms do not have any market novelties and thus no sales from this type of innovation (Grimpe & Kaiser, 2010).
>
> Is that wrong then?
>
> I'm really confused now.
>
> Ebru
>
> ----------------------------------------
>> Date: Thu, 4 Oct 2012 16:45:59 -0500
>> Subject: st: Re: st: Re: st: RE: Truncated sample or Heckman selection
>> From: [email protected]
>> To: [email protected]
>>
>> On Thu, Oct 4, 2012 at 4:34 PM, Ebru Ozturk <[email protected]> wrote:
>> > For Tobit regression, the dependent variable is the percent of total firm sales revenues that derived from the sales of new products. Therefore, it is censored as sales of new products can only be zero or positive.
>> >
>> This just isn't a censoring problem. Consider having a look at:
>>
>> http://en.wikipedia.org/wiki/Censoring_%28statistics%29
>>
>> Joerg
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