Hi everyone,
The dataset I am using for my thesis is the ‘Survey of Consumer Finances’ - a feature of the dataset is that any missing values (from survey respondents who do not answer or miss questions) are imputed. Specifically, for every respondent, there are 5 imputations.
The problem is, I am unsure of how to perform regressions and econometric analysis in a way that accounts for this multiple imputation. I have searched online for ways to do it. Although Stata does have an in-built command feature that lets you deal with multiple imputation analysis, unfortunately I do not think I can use it, as it requires the original, raw and ‘unimputed’ numbers - this is something the SCF does not provide. This inability is mentioned in both the manual I just linked and here.
I have found an alternative command here but I lack a method of verification - even when I get it to run, there is no way for me to know whether what I have done is correct.
Can somebody who has experienced this provide me with some guidance on what to do?
Thank you!
Related Posts with Repeated Imputation Inference using data from the Survey of Consumer Finances
mgarch dcc predicted correlationsHello, Does anyone know why mgarch dcc predicted correlations begin with unreasonable values? For e…
Which model would you recommend to use? Panel DataHi all, I do my University work and need your help. I have a panel data and want to know how 10 inde…
LabelsHello, i'm sure my problem is very basic, but I couldn't find an answer in past topics. An example …
Calculating the average risk taking ratio of similarly sized, successful other firms at TDear all, I have an unbalanced panel data. I am trying to calculate the average risk-taking ratio o…
-xtgls- vs -xtscc-?I am analysing a panel data with n=19 (ID/panel variable i.e. countries) and T=44 (time variable) to…
Subscribe to:
Post Comments (Atom)
0 Response to Repeated Imputation Inference using data from the Survey of Consumer Finances
Post a Comment