Hello,
I have a sample from the Current Population Survey (CPS). My data is monthly from 2015-present for the variables empsame, empstat, and labforce. EMPSAME indicates whether or not the respondent was employed by the same employer and the same job he/she reported working as his/her main job in the previous month's survey. What I am trying to do here is to define the "newly employed" as those who responded NO in EMPSAME because this means that they are working for a new employer compared to the previous month.
Once I have the set of "newly employed" in period t, I then want to split it into the ones who were employed in t-1, and those who were not employed in t-1.
I have an identifier variable that gives a unique id for each individual surveyed.
I do not know how I can use the data at hand to achieve the above goal. Any ideas on how to use the identifier to track individuals over each 2 consecutive months to be able to get the 2 sets?
Related Posts with Matching data over time?
RE: Obtaining robust standard errors after xtnbreg with random effectsHello! I am using negative binomial regression with random effects: xtnbreg crime unemployment pove…
Logit and Probit TableI want to estimate a regression (shown below on the table) and fill in the data points of the table …
How to make a table with multiple variables?I want to make a table that looks like: Rate of Graduation (%) Parent’s Years of Education Tal…
Panel DataHi, I am working with panel data and want to create a dummy variable based on the median of each cro…
encode and destringHi, this is Alice. I am constantly facing problems of destring a variable that contains both numeric…
Subscribe to:
Post Comments (Atom)
0 Response to Matching data over time?
Post a Comment