WebJan 10, 2024 · To process, manipulate, and analyze data in Stata, we sometimes need to do repetitive tasks. Examples include recoding a set of variables in the same manner, … WebApr 19, 2024 · 1 Answer. Sorted by: 1. I would recommend using the eststo package and a foreach loop. First, install the ssc package by running the command findit eststo and clicking the first link and clicking install. Then create a do file with the following code, levelsof player foreach lev in `r (levels)' { eststo `lev'store : logit depvar indepvar1 ...
Loops in Stata: Making coding easy - The Analysis Factor
WebFeb 5, 2024 · I need to run a regression over increasing sample sizes. I know how to get it to run for a specific sample size: reg y x1 x2 in 1/10. but I need it to do it for sample size 10, then 11, then 12, etc. up to 1000. I tried the following: foreach var in varlist x1 x2 { reg y x1 x2 in 10/_n+1 } but that did not work. WebNov 16, 2024 · Here is the modified do-file: local i = 1 egen y = group (rep78), missing while `i' <=6 { tab1 mpg price if y == `i' local i = `i' + 1 } By using the missing option with the egen … hair with long layers
Automating Your Work - New York University
WebFeb 7, 2024 · That being said, judicious use of loops can make life easier for you. This tutorial introduces you to the use of loops. Loops in Stata follow a strict syntax and adhere to the same general principles as in other programming languages. The following are the three types of loops in Stata. The use of each is best demonstrated using simple examples. WebApr 29, 2024 · There is an additional wrinkle‹ I have panel data for 1990-2010 and want to run each regression using t to t-4 only (I.e., for 2001, use only 1998-2001 years of data … WebThe standard command for running a regression in Stata is: regress dependent_variable independent_variables, options Clustered (Rogers) Standard Errors – One dimension To obtain Clustered (Rogers) standard errors (and OLS coefficients), use the command: regress dependent_variable independent_variables, robust cluster(cluster_variable) bulls all time leading scorer