Dear members of the list,
For exploratory purposes, I intend to run an OLS regression for a pool of countries drawn from PIAAC. My ultimate goal is to graphically explore cross-national differences in the effect of father's education on attainment of a master level diploma.
My dependent variable ('master') is dichotomous but I apply a linear probability model to my data; that is, for now, I treat it as continuous. My key independent variable (father's educational attainment, 'edufath'), it is split up into three categories: (a) ISCED 1/2/3(short) (b) ISCED 3/4 (c) ISCED 5/6
Following the great Chuck Huber's video on 'Profile plots and interaction plots in Stata: Interactions of categorical variables', I generate the interaction plots by running the following commands:
AGEG10LFS and imgen are just control variables. The important variables for me are father's education (edufath) and the variable identifying countries (cntryid).
As a result of the last line in the codes above, I get a graph that is comes next:
Here comes my question. The graph is satisfactory, but I am not able to make the country labels appear in the X axis (Austria, Belgium... ) so as to easily identify the marginal effect of father's education for each country, which was my initial intention. There only appear the numerical codes of my country variable. I have tried with all the possible options in the command marginsplot, to no avail.
I have also imagined that it was a matter of changing the format of cntryid, but I suspect that this is wrong. In case it helps, I provide the information on 'cntryid' that is provided by Stata about this variable
Any advice in this respect would be more than welcome.
At any rate, thanks for your attention
Best wishes
Luis Ortiz
For exploratory purposes, I intend to run an OLS regression for a pool of countries drawn from PIAAC. My ultimate goal is to graphically explore cross-national differences in the effect of father's education on attainment of a master level diploma.
My dependent variable ('master') is dichotomous but I apply a linear probability model to my data; that is, for now, I treat it as continuous. My key independent variable (father's educational attainment, 'edufath'), it is split up into three categories: (a) ISCED 1/2/3(short) (b) ISCED 3/4 (c) ISCED 5/6
Following the great Chuck Huber's video on 'Profile plots and interaction plots in Stata: Interactions of categorical variables', I generate the interaction plots by running the following commands:
HTML Code:
reg master female i.AGEG10LFS i.imgen2 edufath##cntryid margins edufath#cntryid marginsplot, xdimension(cntryid) recast(line) plotopts(connect(none)) xlabel(, labels)
As a result of the last line in the codes above, I get a graph that is comes next:
Here comes my question. The graph is satisfactory, but I am not able to make the country labels appear in the X axis (Austria, Belgium... ) so as to easily identify the marginal effect of father's education for each country, which was my initial intention. There only appear the numerical codes of my country variable. I have tried with all the possible options in the command marginsplot, to no avail.
I have also imagined that it was a matter of changing the format of cntryid, but I suspect that this is wrong. In case it helps, I provide the information on 'cntryid' that is provided by Stata about this variable
Code:
. codebook cntryid
------------------------------------------------------------------------------------------------------------------------
cntryid Country ID (ISO 3166, numeric)
------------------------------------------------------------------------------------------------------------------------
type: numeric (double)
label: CNTRYID
range: [40,840] units: 1
unique values: 31 missing .: 0/200,588
examples: 152 Chile
250 France
440 Lithuania
703 Slovak Republic
. des cntryid
storage display value
variable name type format label variable label
------------------------------------------------------------------------------------------------------------------------
cntryid double %23.0g CNTRYID Country ID (ISO 3166, numeric)
At any rate, thanks for your attention
Best wishes
Luis Ortiz
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