Regards! I would like to know if there is a quick way to estimate (or forecast) missing data? I am using data from the Barro-Lee education data set which only goes every five years. Thus, I estimated using linear interpolation (Ipolate command). The estimates seem fair; however, the last 9 estimated observations (2011 to 2019) seem too steep ( the trend seems too steep). So, I was wondering if there is a quick way to forecast (or estimate) this missing data in STATA other than the Ipolate command? See some pictures below Array
Related Posts with How to forecast or estimate missing data?
Constructing weekly date when the weeks are determinedHi I have variables for the year, the quarter (taking values from 1 to 4), and the week (taking val…
Diff-in-Diff covariate collinearity issueHi all. I'm running a difference-in-difference model with the new xtdidregress command. When I inclu…
-merge- not finding all matchesI'm running Stata version 14.2 on Windows. My analysis includes weight data for children. My main an…
Plotting yearly and monthly data in the same graphHi all, I have two variables. Let's say I observe variable M each month. However, for variable Y, I…
Fill null values in an ordered list with repeating valuesHi there. For a data structure like the following, ordered by COMUNA - N_CALLE - NUMN and where repe…
Subscribe to:
Post Comments (Atom)
0 Response to How to forecast or estimate missing data?
Post a Comment