GIP Wave 35

Variables

Sort Variable Name
0 Unique ID, GIP id_g
10 german citizenship german_citizenship_17
13 year of recruitment sample
20 funding health care_d RM35002_d
54 EU more_justice RM35020_c
64 EU less_justice RM35021_c
86 randomization page 27.00 ff rndCE35250
88 unity_party_csu_v4 CE35252
1 Household Identifyer, GIP hhid_g
2 Person identifyer (wthin HH) pid
5 highest educational degree educ_school_17
43 expenditures education system RM35011
104 weitere Anmerkungen text_na QE35008_TXT_na
3 gender gender_17
4 year of birth categories year_of_birth_cat_17
8 number of household members number_hh_members_17
11 private internet usage internet_usage_17
14 Interview-Datum dDatum
17 funding health care_a RM35002_a
18 funding health care_b RM35002_b
19 funding health care_c RM35002_c
22 funding health care_f RM35002_f
24 funding health care_h RM35002_h
25 choice of doctor RM35003
27 conditions Hartz IV_a RM35005_a
28 conditions Hartz IV_b RM35005_b
29 conditions Hartz IV_c RM35005_c
31 conditions Hartz IV_e RM35005_e
32 conditions Hartz IV_f RM35005_f
33 conditions Hartz IV_g RM35005_g
34 conditions Hartz IV_h RM35005_h
36 conditions Hartz IV_j RM35005_j
37 regulation labor market RM35006
39 experiment page 9.00 f expRM35008
40 funding pensions first choice RM35008
41 funding pensions last choice RM35009
42 reforms education system RM35010
48 reduction income differences RM35016
49 tax equity RM35017
52 EU more_foreignpolicy RM35020_a
55 EU more_labor RM35020_d
57 EU more_traffic RM35020_f
58 EU more_agriculture RM35020_g
59 EU more_environment RM35020_h
60 EU more_education RM35020_i
62 EU less_foreignpolicy RM35021_a
63 EU less_economy RM35021_b
65 EU less_labor RM35021_d
68 EU less_agriculture RM35021_g
69 EU less_environment RM35021_h
70 EU less_education RM35021_i
71 EU less_other RM35021_j
72 EU more_foreignpolicy RM35022_a
74 EU more_justice RM35022_c
76 EU more_competition_policy RM35022_e
77 EU more_traffic RM35022_f
78 EU more_agriculture RM35022_g
79 EU more_environment RM35022_h
81 EU more_other RM35022_j
82 EU more_none RM35022_k
83 policy area more benefits RM35023
87 unity_party_cdu_v4 CE35250
90 unity_party_fdp_v4 CE35256
91 unity_party_gruene_v4 CE35258
94 randomization page 34.00 rndZJ35030
95 role_party_leader_SPD_Nahles ZJ35030
97 Fragebogen: interessant QE35001
98 Fragebogen: abwechslungsreich QE35002
100 Fragebogen: lang QE35004
101 Fragebogen: schwierig QE35005
102 Fragebogen: zu persönlich QE35006
103 Wie hat Ihnen die Befragung insgesamt gefallen? QE35007
99 Fragebogen: relevant QE35003
96 competence_chair_SPD_Nahles ZJ35031
93 unity_party_afd_v4 CE35262
92 unity_party_linke_v4 CE35260
89 unity_party_spd_v4 CE35254
85 unity_gov_v2 CE35304
84 policy area less benefits RM35024
80 EU more_education RM35022_i
75 EU more_labor RM35022_d
73 EU more_economy RM35022_b
67 EU less_traffic RM35021_f
66 EU less_competition_policy RM35021_e
61 EU more_other RM35020_j
56 EU more_competition_policy RM35020_e
53 EU more_economy RM35020_b
51 EU decision-making authority RM35019
50 reforms EU labor social system RM35018
47 reforms tax system RM35015
46 eligible area of education RM35014
45 least important area of education RM35013
44 most important area of education RM35012
38 reforms pension scheme RM35007
35 conditions Hartz IV_i RM35005_i
30 conditions Hartz IV_d RM35005_d
26 reforms security of unemployed RM35004
23 funding health care_g RM35002_g
21 funding health care_e RM35002_e
16 reforms health care RM35001
15 current online status online_status_wave
12 residence state state_17
9 employment status occupation_17
7 marital status marital_status_17
6 highest professional qualification educ_job_17
Info

Study: gip

Dataset: GIP_W35_V1


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