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Re: st: Regression based Shapley Value Decomposition rbdineq
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Regression based Shapley Value Decomposition rbdineq
Date
Mon, 26 Mar 2012 12:28:11 +0100
This is a program from
http://dasp.ecn.ulaval.ca/training_dakar/Stata_and_DASP/DASP_V2.1/dasp
Please note that you are asked to explain _where_ user-written
programs you refer to come from.
The author is given as Abdelkrim Araar (aabd AT ecn.ulaval.ca) and
he may not be a member of Statalist. If you do not get a detailed
explanation, I would contact him directly for support.
Nick
On Mon, Mar 26, 2012 at 12:12 PM, Ruchika <[email protected]> wrote:
> Dear Statalisters
>
> I am running a regression based decomposition by using command
> rbdineq. i have installed the DASP V2.1 in stata 10. when i use this
> command with 3, 4 independent variables then i get the results as
> given below but i actually need more independent variables then i
> donot get the results even after 3-4 hours. it just get one line
> repeatedly saying 6094missing values generated as i have mentioned
> below the these results. Can anyone have any idea why i am not getting
> results even after such a long time. how many maximum independent
> variables this command can process? Is there any other way of doing
> this regression based shapley value based decomposition?
>
>
> rbdineq sector sex_head hh_size, dep(real_mpce_mrp) model(semilog)
> hsize(per_wht) dregres(0)
>
> Regression-based inequality decomposition by predicted income
> components(using the Shapley value).
> Execution time : 86.86 second(s)
> Inequality index : Gini index
> Estimated inequality : 0.350435
> Household size : per_wht
> +---------------------------------------------------------------------+
> | Sources | Income Absolute Relative |
> | | Share Contribution Contribution |
> |--------------------+------------------------------------------------|
> |1: _p_cons | . 0.000000 0.000000|
> |2: _p_sector | . 0.064459 0.183941|
> |3: _p_sex_head | . 0.000016 0.000046|
> |4: _p_hh_size | . 0.041701 0.118997|
> |5: _p_resi | . 0.244259 0.697016|
> |--------------------+------------------------------------------------|
> | Total | . 0.350435 1.000000|
> +---------------------------------------------------------------------+
>
> Marginal contributions:
> ---------------------------------------------------------------------------
> Source | level_1 level_2 level_3 level_4 level_5
> ---------------+-----------------------------------------------------------
> 1: _p_cons | 0.000000 0.000000 0.000000 0.000000 0.000000
> 2: _p_sector | 0.020474 0.015706 0.011915 0.009101 0.007264
> 3: _p_sex_head | 0.000009 0.000004 0.000002 0.000001 0.000001
> 4: _p_hh_size | 0.014967 0.010676 0.007363 0.005027 0.003667
> 5: _p_resi | 0.059700 0.053299 0.047875 0.043428 0.039958
> ---------------------------------------------------------------------------
>
> rbdineq social_group nic3grp_hh eduheadcate ageheadcate religioncode
> state_club sector sex_head hh_size hhtype, dep(real_mpce_mrp)
> model(semilog) hsize(per_wht) dregres(0)
>
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> (6094 missing values generated)
> and so on...............
>
> Thanks & Regards
> Ruchika
> PhD Research Scholar
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