Hello,
I am using Stata 15.1 on Windows 10.
I have an Unbalanced Panel Data set on crime rate (continuous variable) with i=700 and t = 28 and N= 1085.
Some of my explanatory variables are of the Binary Form (Available =1, Not Available =0), as they are infrastructure-related;
For example independent variable "Access to Markets" will be of form: 1, if the market is available within 10 km or 0, otherwise.
There are 5 such Binary explanatory Variables and 4 continuous explanatory variables. Most of the variation in the data is across the Cross-Section, as the variables are slow-moving over time.
My question:
I would like to understand out of Fixed Effects Model, Random Effects Model or GLS Model or any other model specification that would fit my dataset?
And whether Fixed Effect Model can be applied when there are Binary Explanatory Variables (as I am unable to find any clear literature on it).
Thank You.
Regards,
Shreya Sethi
Related Posts with Using Binary Explanatory Variables in Panel Dataset Regression Analysis
Problem with destring of variableHi all, Since I am relatively new to Stata, I ran into a problem with my data. Variable DealValue i…
Please create matrix with spweightxtHello Mr / Mrs Would you like to explain with an excel data's example the creation of a weight matr…
Keep with joint conditionHi I have another issue in relation to keeping variables with a joint condition. I am trying to sele…
Problem with destroyingHi all, Since I am relatively new to Stata, I ran into a problem with my data. Variable DealValue i…
Problem with destring of variableHi all, Since I am relatively new to Stata, I ran into a problem with my data. Variable DealValue i…
Subscribe to:
Post Comments (Atom)
0 Response to Using Binary Explanatory Variables in Panel Dataset Regression Analysis
Post a Comment