Active variables
Minor positions
Major positions
ASSO
Asso
BUSI
Comp
Fina
INTEL
Acad
Educ
Arts
PRO
MEDI
TRAN
Tran_yes
Tran_no
GOV
Gov_c
Gov_f
Gov_l
MIL
MIL_A
MIL_C
MIL_U
POL
POL_C
POL_D
POL_F
MISC
Filters
Period
1
2
3
4
5
Generation
1
2
3
4
5
Supplementary variables
Birth data (year, province)
Year
Province
Generation
1
2
3
4
5
Education (highest degree obtained)
Country of education
Educational institution
Degree
Discipline
(Death data)
Country
Year
Political affiliation (POL)
POL_C
POL_D
POL_F
Period
1
2
3
4
5
‎Boorman Positions MCA
‎Active variables
‎ASSO
‎Asso
‎BUSI
‎Comp
‎Fina
‎INTEL
‎Acad
‎Educ
‎Arts
‎PRO
‎MEDI
‎TRAN
‎Tran_yes
‎Tran_no
‎GOV
‎Gov_c
‎Gov_f
‎Gov_l
‎MIL
‎MIL_A
‎MIL_C
‎MIL_U
‎POL
‎POL_C
‎POL_D
‎POL_F
‎MISC
‎Minor positions
‎Major positions
‎Filters

‎Period
‎1
‎2
‎3
‎4
‎5
‎Generation
‎1
‎2
‎3
‎4
‎5
‎Supplementary variables
‎Birth data (year, province)
‎Year
‎Province
‎Generation
‎1
‎2
‎3
‎4
‎5
‎Education (highest degree obtained)
‎Country of education
‎Educational institution
‎Degree
‎Discipline
‎(Death data)
‎Country
‎Year
‎Political affiliation (POL)

‎POL_C
‎POL_D
‎POL_F
‎Period
‎1
‎2
‎3
‎4
‎5
‎OR
‎OR
‎OR
Note
Xmind
Boorman Positions MCA Close
Xmind
Close
100%
500 %
400 %
300 %
200 %
150 %
120 %
100 %
80 %
50 %
20 %
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ankeqiang
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