Stata isn't going to know which one of them to choose with the merge. You would like to figure out just how your datasets are built. Working with distinct egen commands can help you find out more about this. One example is:
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The only distinction between The 2 variations, however, is definitely the existence from the term "about" in one and its absence in the opposite. So, I desire to think which the thoughts are inquiring basically the same thing.
I am sorry I can't help far more, but I'd think about the a hundred and seventy scenarios of 2 obs for each hhid-pid mixture and see why you have got them. If they are just duplicates, drop one of every (duplicates command can help with that).
If you would like eradicate it, you may both variety drop if _merge == 2 after the merge command, or, better still, operate the merge command with the choice nokeep. That is certainly:
There are 2 major statistics Instructions, which trigger many anxiety to any statistical tutor and student: descriptive and inferential. Descriptive statistics analyzes attained information but never ever goes beyond the figures you are able to use.
You might also would like investigate this site to find out that I have obtained, and now perform with, Stata thirteen.one. But as yet, nothing that may be new to that Model has entered this manual, and I am also content to convey which the Stata individuals have refrained from utilizing drastic variations concerning the looks or The essential dealing with of Stata.
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Weare presuming the reader has basic comprehension of Econometrics (regressions and the like) and we will likely not enter concerns of the best tips on how to define a suitable design.
introduce you in almost any complete method to the fundamentals of dealing with Stata for Home windows, e.g., how to set up This system, what the several "windows" are, ways to arrange a knowledge foundation, how just to execute commands from the do file, and so forth. Certainly, Significantly of It's going to be described, nonetheless it won't be described in any depth, as these are definitely things which are fairly tiresome to clarify in producing and surprisingly easy to explain merely by demonstrating and rehearsing (and several demo and mistake).