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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st:How to do analysis if the same variable exists in one dataset and is missing or contains no observation in another database? |

Date |
Fri, 8 Aug 2003 11:25:51 +0100 |

adiallo5@worldbank.org > > Thanks Nick and David for the help. > > David, I mean the exact correspondence: var1 for a, var2 for b, etc. > > If a variable is absent, it would be preferable not to > create it, since the > program is huge. > For example, if a does not exist or contains no > observation, thus, it would be > preferable not to create var1. > Even though we create new variables with missing values, > they would be > irrelevant for my regressions. > > For var5, if at least one of the variables exists, then I > want to use it to > create var5. If not, it will not be created. > > Nick, all the code is there. My intend is simple. > Let me rewrite all my program below: my dependent variable > is depvar (which is > common to all files). > > local varlist1 "a b c d e f g h" > foreach x of local varlist1 { > capture confirm var `x' > if _rc==0 { > capture assert mi(`x') > if _rc==0 { > drop `x' > } > else { > g var1=a > g var2=b > g var3=c > g var4=d > g var5=. > replace var5=1 if e==1| f==1| g==1| h==1 > } > } > regress depvar var1 var2 var3 var4 var5 /*if one of > them exists*/ > > The first suggestion of Nick seems good, but since I have a > lot of variables to > create, it will be very difficult to rewrite the code for > each of them. > I will try his second suggestion. You are correct. My first comment does not apply, as I misread your code. But perhaps you now have the ingredients of a solution from various suggestions. Nick n.j.cox@durham.ac.uk * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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