I describe how to generate random numbers and discuss some features added in Stata 14. In particular, Stata 14 includes a new default random-number generator (RNG) called the Mersenne Twister (Matsumoto and Nishimura 1998), a new function that generates random integers, the ability to generate ...
Assumption #4: There needs to be a linear relationship between (a) the dependent variable and each of your independent variables, and (b) the dependent variable and the independent variables collectively. You can check for linearity in Stata using scatterplots and partial regression plots. Assumpti...
So how do I tell stata to generate a new indicator of "mothers" and to treat it as a property of mothers, not children? So that eventually I would extract moms from this raw data (e.g., keep ID BMI_M EMP_M if mom==1) and merge (1:many) it based on key variable (ID_fam)...
I would be very grateful for any advice as to how I can turn my datevariable into a variable Stata10 can recognise, The date (and string) functions in Stata are powerful, so they areworth learning. However, to use them correctly, there really is nosubstitute for reading the help files ...
generate xN = (x - r(mean)) / r(sd) ... That’s it. It takes only two lines to normalize a variable. What arer(mean)andr(sd), and how did I know about them? In Stata, almost all commands return results. Estimation commands return their results ase()values, and most other comm...
Similar to how text files are stored with a txt extension, excel sheets with xlsx, and Word documents with docs, stata also stores the data with a dta
(not just individually) results in a statistically significant improvement in model fit. Note that if we performed a likelihood ratio test for adding a single variable to the model, the results would be the same as the significance test for the coefficient for that variable presented in the ...
The employment variable divided individuals into those employed or not employed without detailing the non-employment type. Although this measure loses some level of detail, we chose to use it as this information is provided by other household members for proxy respondents and those without a valid ...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
One disadvantage of Difference and System GMM is that they are complicated and can easily generate invalid estimates. Implementing them with a Stata command stuffs them into a black box, creating the risk that users, not understanding the estimators’ purpose, design, and limitations, will ...