I have an unbalanced panel data with missing values.
I want to replace the missing values with mean of the time series observations of the concerned cross-sectional unit.
How to perform this function in SAS.
Thanks in advance.
Can you show us some data?
Dear Mr. Draycut. thanks for your prompt response.
the format of my data is as follows
Company_Name | year | Total_remuneration | Capex |
20 Microns Ltd. | 2014 | 3916000 | 160 |
20 Microns Ltd. | 2015 | 3916000 | |
20 Microns Ltd. | 2016 | 4230000 | 60.9 |
20 Microns Ltd. | 2017 | 4961387 | 51.4 |
20 Microns Ltd. | 2018 | 4932459 | 162.3 |
3I Infotech Ltd. | 2012 | 6866.4 | |
3I Infotech Ltd. | 2013 | 13360000 | 9267.5 |
3I Infotech Ltd. | 2014 | 23480000 | 821 |
3I Infotech Ltd. | 2015 | 17780000 | |
3I Infotech Ltd. | 2017 | 27000000 | 11.2 |
3I Infotech Ltd. | 2018 | 19303045 | 13.9 |
63 Moons Technologies Ltd. | 2015 | 38726562 | -2.5 |
63 Moons Technologies Ltd. | 2016 | 22.8 | |
63 Moons Technologies Ltd. | 2017 | 3902000 | 40 |
63 Moons Technologies Ltd. | 2018 | 17257000 | 72.7 |
A 2 Z Infra Engg. Ltd. | 2015 | 3639600 | |
A 2 Z Infra Engg. Ltd. | 2016 | 3033350 | -53.6 |
A 2 Z Infra Engg. Ltd. | 2017 | 10641600 | -21.6 |
A 2 Z Infra Engg. Ltd. | 2018 | -9.6 | |
A B G Shipyard Ltd. | 2014 | 2755645 | -405.3 |
A B G Shipyard Ltd. | 2015 | 13449000 | -296.2 |
please help in writing a SAS code to fill the missing values with the mean of the observations of respective company
thanks in advance
PROC STDIZE.
@srikanthyadav44 wrote:
I have an unbalanced panel data with missing values.
I want to replace the missing values with mean of the time series observations of the concerned cross-sectional unit.
How to perform this function in SAS.
Thanks in advance.
read the article "Mean imputation in SAS," which contains an example. Also, read the article "3 problems with mean imputation"
to make yourself aware of how mean imputation affects subsequent analyses.
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