Fill / Ipolate Missing inbetween Values in Panel / Timeseries Data in STATA

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This video helps in fill missing values between the data using #ipolate method. Ipolating the #missing values / #gaps in the data where the starting and ending values are given. This #code / #syntax is useful for estimating missing values in large data set like #paneldata. The codes can be used for #timeseries data too for that case remove the bysort id: portion.
An overview of this video is given in the link Below:

✔️ Topic Name: Fill / Ipolate Missing inbetween Values in Panel / Timeseries Data in STATA

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✔️ Tags for this Video:
#econistics #missing#values #pakistan #studymotivation #study #studyfree #student #studentlife #education #dataanalysis #econometrics #trending #noman #arshed #lectures #complete #study #series #datascience #ipolate #gap #explore #filling #concerts #understanding #statistics #howto #solve #gapfilling #variables #freeeducation #numeric #representation #data #alphabetical #dataanalysis #statistical #definition #different #intrapolation#regression #information #created #numeric #dataanalysis #howto #generate #missingvalues #stata #extrapolation #Fill #Ipolate #Missing #inbetween #Values #timeseries #statatutorial

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Thank you. we can also impute missing data using the imputation algorithm in Orange data mining software, which have several advantages, as it can handle data with uncertain information and it retain the pattern of original data

fatimazahramoussaid

Thank you so much for your explanation. What is the command for extrapolation?

alhanoufsam

Thank you very much, i have a question please, what about others missing data? we drop observations ? and which method you used in this video, moving average? last question please, in which percentage we can know that we have to drop or to handle missing data ? thanks

nesrinesirine

Is it possible in eviews9 for panel data?
Kindly guide me

AnumGulzar-iytl

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