dropping out series with missing observations

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dropping out series with missing observations

Unread postby tclark » Fri May 12, 2023 4:14 pm

I have a problem that is going to involve recursively looping over time to form estimates from a set of series with data available. Over time, the number of series with data will change. So I want to read in all of the series and then, for each time loop, pull the subset of variables with complete data into a block of series that will be used for the computations. I can do this brute force by looping over all series and then putting just those with data available in a new vec[ser]. Is there a more efficient way to do this? Thanks.
Todd Clark
Economic Research Dept.
Federal Reserve Bank of Cleveland
Posts: 89
Joined: Wed Nov 08, 2006 4:20 pm

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