WebNov 18, 2024 · Wouter Wakker. value [_n-1] refers to the preceding observation in the current sort order. l.value means the value of the first lag, i.e. one time period before as set by tsset or xtset. value [_n-1] and l.value will be exactly the same if the data is sorted on the time (or panel/time) variable, and there are no time gaps in the data. WebApr 1, 2024 · xtset country year panel variable: country (unbalanced) time variable: year, 1975 to 1995, but with gaps delta: 1 unit. Here is the Stata output for xtdescribe: ... When you sort data in Stata, if the sort key variables do not uniquely identify observations in the data, then Stata sorts the data into random order within the sort key. ...
How can I “fill down”/expand observations with respect to …
WebMar 30, 2011 · Subject. Re: st: tsset - repeated time values within panel. Date. Wed, 30 Mar 2011 12:01:33 +0200. I know what you mean, but I need to replace missing values. I can be more precise with the following example: group year pairid 1 2011/3/30 Nick Cox : > There is a difference between filling in gaps and replacing … Webtime variable: Date, 01jan2005 to 01dec2016, but with gaps delta: 1 day and then when I try to make a variable of d.logCI all the variables are missing. So I'm guessing this has to do … intellia therapeutics job reviews
Find out which observation is causing unbalanced panel - Statalist
WebMar 22, 2024 · If you just specify panel and year variables, Stata expects unit spacing, so lag 1 with yearly data means "the previous year". Asking for a lag 1 variable is legal, but … WebMay 16, 2015 · The first thing you have to control for, once you have tsset your data, is that there are no gaps in the time series (like a missing quarter or month). You can easily notice it, if this is the case in your data, because Stata will inform you that the time variable has gaps once you called the tsset command. WebIn this guide we will cover basic time series commands. Time series are data where one observation is measured repeatedly over time. Such data can be analyzed by just entering it into Stata as usual, using regular commands. But we can do more. With the special time series commands we can examine change, and how observations at different times ... john baird and wef