Hi all,

I use Stata 15.1.
I have a daily data (t=90) on Facebook linkclicks (DV), in three different cities (FE). Yet, for each day, each city has 5 data observations (one for each of five age-categories).
I'm not sure how to run a model as a panel data which accounts for potential time series issues. Below is small sample for two days of the Facebook campaign.
Thanks!
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input str10 reportingstarts byte(campaign_day city_code day_of_week) float(weekend age_cat gender_i) byte linkclicks1 int(reach impressions)
"2017-01-25" 1 2 4 0 2 2 1 1375 1384
"2017-01-25" 1 2 4 0 2 1 1 1209 1219
"2017-01-25" 1 2 4 0 4 2 0   20   21
"2017-01-25" 1 2 4 0 3 1 0  464  465
"2017-01-25" 1 2 4 0 4 1 0   31   31
"2017-01-25" 1 2 4 0 3 2 0  456  459
"2017-01-25" 1 3 4 0 2 1 1  399  400
"2017-01-25" 1 3 4 0 4 1 0    7    7
"2017-01-25" 1 3 4 0 3 2 0  396  401
"2017-01-25" 1 3 4 0 3 1 0  161  162
"2017-01-25" 1 3 4 0 2 2 1 1032 1036
"2017-01-25" 1 3 4 0 4 2 0   19   19
"2017-01-25" 1 4 4 0 4 2 0   12   13
"2017-01-25" 1 4 4 0 2 1 0  234  235
"2017-01-25" 1 4 4 0 3 1 1  106  106
"2017-01-25" 1 4 4 0 3 2 0  383  384
"2017-01-25" 1 4 4 0 4 1 0    8    8
"2017-01-25" 1 4 4 0 2 2 1  848  852
"2017-01-26" 2 2 5 1 2 1 1  956  962
"2017-01-26" 2 2 5 1 4 1 0   17   18
"2017-01-26" 2 2 5 1 3 2 0  377  380
"2017-01-26" 2 2 5 1 2 2 0 1063 1068
"2017-01-26" 2 2 5 1 3 1 0  389  389
"2017-01-26" 2 2 5 1 4 2 0   15   15
"2017-01-26" 2 3 5 1 4 1 0    9    9
"2017-01-26" 2 3 5 1 2 2 2  871  873
"2017-01-26" 2 3 5 1 2 1 1  345  345
"2017-01-26" 2 3 5 1 4 2 0   20   20
"2017-01-26" 2 3 5 1 3 1 1  136  137
"2017-01-26" 2 3 5 1 3 2 1  324  326
"2017-01-26" 2 4 5 1 4 2 0   13   14
"2017-01-26" 2 4 5 1 3 2 0  342  343
"2017-01-26" 2 4 5 1 2 2 1  799  801
"2017-01-26" 2 4 5 1 2 1 0  252  253
"2017-01-26" 2 4 5 1 4 1 0    3    3
"2017-01-26" 2 4 5 1 3 1 0   93   93
end
label values city_code city
label def city 2 "Ramet_Gan", modify
label def city 3 "Rishon_lezion", modify
label def city 4 "Tel-Aviv", modify
label values day_of_week week_day
label def week_day 4 "Wednesday", modify
label def week_day 5 "Thursday", modify
label values age_cat age_cat
label def age_cat 2 "Age_25-34", modify
label def age_cat 3 "Age_35-44", modify
label def age_cat 4 "Age_45-54", modify
label values gender_i gender_1
label def gender_1 1 "Male", modify
label def gender_1 2 "Female", modify