The second block of code, using Stata matrices, is limited by matsize. The Mata code is not, and uses less memory than the Stata matrix solution in any case by the use of views. All of the check variables being
Dear All, Is there any command in stata that can make separate variables for multiple coded responses. For example: VarA (numerical field) is coded with following responses: 145 235 1256 16 14 Now I want to create six variables with the names VarA1 VarA2 VarA3 VarA4 VarA5 VarA6 and th...
The how-to-guide for bimap is quite well-explained in the Github repository, bimap v1.51 (Github), so you can refer to it. Here is my summary of doing it with ACS variables (using getcensus package). Step 1: Install the package Stata ssc install bimap, replace // install the packag...
#To print the range of salary packages range.sal <- range(read.data$empsalary) print(range.sal) Output: [1] 20000 36000 #To print the details of a person with the highest salary, we use the subset() function to extract variables and observations max.sal <- subset(read.data, empsalary...
Please sign in and ask a new question. stataq Quartz | Level 8 Go to Solution how to build a set of macro variables to store the max value for each group Posted 10-01-2024 08:41 PM (2397 views) Hi all, I am trying to get max value by grou...
Plot of residuals with a Lowess line in STATA shows that the amplitude of the errors appears to be increasing over time (positive autocorrelation). What the results mean Autocorrelation values can range from -1 to +1: +1 autocorrelation indicates a perfect positive correlation, where an increase...
First of all, we need to expand the data set so the time variable is in the right form. When we expand the data, we will inevitably create missing values for other variables. The second step is to replace the missing values sensibly. The examples shown here use Stata’s command tsfill...
particularly useful for controlling different sources of endogeneity (Andrews et al.,2014; Stock,2002) in order to obtain unbiased estimates; that two-stage estimation technique helps to estimate\(o^{iv}\)given the endogenous values of outputsoand the correct instrumental variables\(\varvec{IV}\...
The collapse command in Stata is used to create summary variables from an existing dataset. It allows you to aggregate observations within groups, summarizing them into a new dataset. Collapsing a dataset can be useful for creating summary statistics, such as the mean and standard deviation, for...
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