SOEP-IS 2020 - BIOPAREN: Biography information on the parents

DIW Berlin / SOEP (Ed.) Research Report SOEP-IS 2020 - BIOPAREN: Biography information on the parents SOEP Survey Papers, No. 1152 Provided in Cooperation with: German Institute for Economic Research (DIW Berlin) Suggested Citation: DIW Berlin / SOEP (Ed.) (2022) : SOEP-IS 2020 - BIOPAREN: Biography information on the parents, SOEP Survey Papers, No. 1152, Deutsches Institut für Wirtschaftsforschung (DIW), Berlin This Version is available at: https://hdl.handle.net/10419/263174 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. 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If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by-sa/4.0/ 1152 2022 Series D – Variable Descriptions and Coding SOEP-IS 2020 – BIOPAREN: Biography Information on the Parents SOEP-IS Group Running since 1984, the German Socio-Economic Panel (SOEP) is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. The aim of the SOEP Survey Papers Series is to thoroughly document the survey’s data collection and data processing. The SOEP Survey Papers is comprised of the following series: Series A – Survey Instruments (Erhebungsinstrumente) Series B – Survey Reports (Methodenberichte) Series C – Data Documentation (Datendokumentationen) Series D – Variable Descriptions and Coding Series E – SOEPmonitors Series F – SOEP Newsletters Series G – General Issues and Teaching Materials The SOEP Survey Papers are available at http://www.diw.de/soepsurveypapers Editors: Dr. Jan Goebel, DIW Berlin Prof. Dr. Stefan Liebig, DIW Berlin and Freie Universität Berlin Prof. Dr. David Richter, DIW Berlin and Freie Universität Berlin Prof. Dr. Carsten Schröder, DIW Berlin and Freie Universität Berlin Prof. Dr. Jürgen Schupp, DIW Berlin and Freie Universität Berlin Prof. Dr. Sabine Zinn, DIW Berlin and Humboldt-Universität zu Berlin Please cite this paper as follows: SOEP-IS Group, 2022. SOEP-IS 2020 – BIOPAREN: Biography Information on the Parents. SOEP Survey Papers 1152: Series D – Variable Descriptions and Coding. Berlin: DIW Berlin/SOEP This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. © 2022 by SOEP ISSN: 2193-5580 (online) DIW Berlin German Socio-Economic Panel (SOEP) Mohrenstr. 58 10117 Berlin Germany [email protected] The German Socio Economic Panel at DIW Berlin SOEP-IS 2020 – BIOPAREN: Biography Information on the Parents SOEP-IS Group 2022 The file bioparen is part of a collection, which is released with doi:10.5684/soep.is.2020. SOEP Innovation Sample (2020) bioparen Contents 1 General Information 4 Short summary ................................... 4 How biography information has been collected in the SOEP-IS ........... 4 How is BIOPAREN generated ............................ 4 2 Variables in File BIOPAREN 4 cid – Original Household Number ............................ 4 pid – Never Changing Person ID ............................. 4 bioyear – Year Of Biography Survey ............................ 4 fpid – Person Number Father ............................... 5 mpid – Person Number Mother .............................. 5 bio – Form Of Biography Questionnaire .......................... 6 alter – Age ........................................ 6 valter – Age Father .................................... 7 malter – Age Mother ................................... 8 vgebj – Year Of Birth Father ................................ 9 mgebj – Year Of Birth Mother ............................... 9 vtodj – Year Of Death Father ............................... 10 mtodj – Year Of Death Mother .............................. 11 vsbil – Level Of Education Father ............................. 12 msbil – Level Of Education Mother ............................ 12 vsinfo – Origin SBIL Father ................................ 13 msinfo – Origin SBIL Mother ............................... 13 vbbil – Vocational Training Father ............................. 14 mbbil – Vocational Training Mother ............................ 14 vbinfo – Origin BBIL Father ................................ 15 mbinfo – Origin BBIL Mother ............................... 15 vnat – Nationality of Father ................................ 16 mnat – Nationality of Mother ............................... 16 vorigin – Country of Origin, Father ............................ 16 morigin – Country of Origin, Mother ........................... 17 vreli – Religion Father ................................... 18 mreli – Religion Mother .................................. 18 vbstell – Job Position Father ............................... 19 mbstell – Job Position Mother .............................. 20 vbsinfo – Origin VBSTELL Father ............................. 21 mbsinfo – Origin VBSTELL Mother ............................ 21 vbklas92 – FATHER: Current Occupational Classification (KldB92) ............ 22 vbklas10 – FATHER: Current Occupational Classification (KldB2010) ........... 23 mbklas92 – MOTHER: Current Occupational Classification (KldB92) ........... 24 mbklas10 – MOTHER: Current Occupational Classification (KldB2010) .......... 24 visco88 – FATHER: Current Occupational Classification (ISCO-88 Com) .......... 25 visco08 – FATHER: Current Occupational Classification (ISCO-08) ............. 26 misco88 – MOTHER: Current Occupational Classification (ISCO-88 Com) ......... 27 misco08 – MOTHER: Current Occupational Classification (ISCO-08) ............ 28 vmps92 – FATHER: Magnitude Prestige Scale (based on KldB92) ............. 29 vmps08 – FATHER: Magnitude Prestige Scale (based on IS88 recoded from IS08) . . . . . 29 mmps92 – MOTHER: Magnitude Prestige Scale (based on KldB92) ............ 30 mmps08 – MOTHER: Magnitude Prestige Scale (based on IS88 recoded from IS08) . . . . 31 SOEP Survey Papers 1152 2 SOEP Innovation Sample (2020) bioparen vsiops88 – FATHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS88) . . . . . 32 vsiops08 – FATHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS08) . . . . . 33 msiops88 – MOTHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS88) . . . . 33 msiops08 – MOTHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS08) . . . . 34 visei88 – FATHER: ISEI-Status following Ganzeboom (based on IS88) ........... 35 visei08 – FATHER: ISEI-Status following Ganzeboom (based on IS08) ........... 36 misei88 – MOTHER: ISEI-Status following Ganzeboom (based on IS88) .......... 36 misei08 – MOTHER: ISEI-Status following Ganzeboom (based on IS08) .......... 37 vegp88 – FATHER: ERIKSON and GOLDTHORPE Class Category (based on IS88) . . . . . 38 vegp08 – FATHER: ERIKSON and GOLDTHORPE Class Category (based on IS88 recoded from IS08) ..................................... 39 megp88 – MOTHER: ERIKSON and GOLDTHORPE Class Category (based on IS88) . . . . 39 megp08 – MOTHER: ERIKSON and GOLDTHORPE Class Category (based on IS88 recoded from IS08) ..................................... 40 ortkindh – Place Raised To Age 15 ............................ 41 ortkind1 – Still Lives In Town Where Raised ........................ 41 living1 – No. Of Years Living With Bio. Parents ...................... 41 living2 – No. Of Years Living With Single Mother ..................... 42 living3 – No. Of Years Living With Single Mother And Partner ............... 43 living4 – No. Of Years Living With Single Father ...................... 43 living5 – No. Of Years Living With Single Father And Partner ............... 44 living6 – No. Of Years Living With Other Relatives .................... 44 living7 – No. Of Years Living With Foster Parents ..................... 45 living8 – No. Of Years Living In Home .......................... 46 vstreit – Argue Or Fight With Father When Respondent 15 ................ 46 mstreit – Argue Or Fight With Mother When Respondent 15 ............... 47 vaortakt – Current residence of Father .......................... 47 vaortup – Year of Update of VAORTAKT .......................... 47 maortakt – Current residence of Mother ......................... 48 maortup – Year of Update of MAORTAKT ......................... 49 vaort91 – Place Of Residence Father 91 .......................... 49 maort91 – Place Of Residence Mother 91 ......................... 50 vaort96 – Place Of Residence Father 96 ......................... 50 maort96 – Place Of Residence Mother 96 ........................ 51 vaort01 – Place Of Residence Father 01 .......................... 51 maort01 – Place Of Residence Mother 01 ......................... 51 vaort06 – Residence Of Father 2006 ........................... 52 maort06 – Residence Of Mother 2006 .......................... 52 vaort11 – Residence Of Mother 2011 ........................... 53 maort11 – Residence Of Father 2011 ........................... 53 vaort16 – Residence Of Mother 2016 ........................... 54 maort16 – Residence Of Father 2016 ........................... 54 geschw – Siblings yes/no ................................. 55 nums – Number of sisters ................................. 55 numb – Number of brothers ............................... 55 twin – Twin sister/brother ................................ 56 geschwup – Time of update - siblings ........................... 57 SOEP Survey Papers 1152 3 SOEP Innovation Sample (2020) bioparen 1 General Information Short summary The aim of the data file BIOPAREN is to make the biography entries on the parents and on the social origin of the respondent available. How biography information has been collected in the SOEP-IS The intergenerational aspects of the persons surveyed are mainly by the information collected in the Biography Questionnaire. Data on respondents in Sample E (10 and 11) for years 1999 - 2011 as well as data on respondents in Sample I (19) for year 2010 have been taken over from the SOEP Core BIOPAREN dataset. In addition to the Biography Questionnaire, there has been an independent questionnaire (Youth Questionnaire) in SOEP Core since 2000 for the group of survey participants who are 16-17 years old and are being interviewed for the first time. From the wave 2011 onwards, all data are generated using exclusively information from the SOEP-IS Biography Questionnaire; there is no Youth Questionnaire in SOEP-IS. How is BIOPAREN generated The information available in BIOPAREN is obtained in two different ways. On the one hand, BIOPAREN includes the children’s proxy entries on the parents from the Biography Questionnaire and the Youth Questionnaire. On the other hand, it contains the direct entries from the parents in the case the respondent lives in the same household as his parents. Every respondent is asked for information on the regional mobility of the children, as well as on the religious affiliation of the parents. However, information on the year of birth, as well as the education and occupational training of the parents, additional to the professional position and occupation of the father are not collected due to the filter command in the questionnaire when the parents (or the father) live in the same household as the child at the time of the survey. In this case, the direct entries of the parents are used. The identification of the parents occurs first of all through the variable STELL (relationship to head of household). The second source of information is the population of the file KIND, which includes all children under the age of 16. The file contains the personal number of the mother, as well as the personal number of the partner of the mother. Through both variables the mother, as well as the latest partner of the mother are identified, ideally, at the time when the child is 16 years old and thus one year before the first survey of the child. In the case the parents could not be identified by the STELL variable, this information is used. In a further step the biological mother is identified through the mother-child relationship in the file BIOBIRTH. In the event that still no personal number for the mother exists, the number from BIOBIRTH is used. Since 2001, an extra BIOBIRTH data-set exists for fathers (BIOBRTHM), which provides a new way of identifying fathers of SOEP-respondents. Since 2014, SOEP-IS does not deliver BIOBRTHM and integrates information on fathers into the BIOBIRTH dataset with an indicator on the gender of a parent. 2 Variables in File BIOPAREN cid – Original Household Number pid – Never Changing Person ID bioyear – Year Of Biography Survey SOEP Survey Papers 1152 4 SOEP Innovation Sample (2020) bioparen 1999 750 2000 22 2001 25 2002 25 2003 34 2004 16 2005 23 2006 21 2007 33 2008 15 2009 18 2010 1905 2011 222 2012 1720 2013 2003 2014 2302 2015 205 2016 1729 2017 177 2018 175 2019 118 2020 957 The variable BIOYEAR tells in which year the information was surveyed. fpid – Person Number Father -1 [-1] No Answer 11234 -2 [-2] Does Not Apply 1 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MPID. mpid – Person Number Mother -1 [-1] No Answer 10956 -2 [-2] Does Not Apply 1 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The personal ID of the parents (fpid and mpid) is generated in three steps. 1. The parents of the respondent are identified by the relationship to the head of the household (STELL in BRUTTO). Ideally, the children’s parents are identified at the time of the first survey of the child, i.e., when the child is 18 years old. Furthermore, the social parents and not necessarily the biological parents are identified. 2. The parents of the respondent are identified via SOEP Survey Papers 1152 5 SOEP Innovation Sample (2020) bioparen the mother’s ID as well as the mother’s partner ID in KIND. By using these variables the “oldest“ parents are identified. Ideally, these are the parents at the time the child is 17 years old (one year before the first survey). 3. The mother-ID of the respondent can be identified in BIOBIRTH (1999 onwards). The father-ID in BIOBRTHM (2001 – 2013) and BIOBIRTH (2014 onwards). As BIOPAREN aims at identifying the parents that live in the household when the child is 18 years old, the steps above are carried out in the hierarchy 1-3 with step 1 having the highest priority. If one is interested in only biological parents, please have a look at the information in BIOBIRTH and BIOBRTHM. bio – Form Of Biography Questionnaire 0[0] Participation before 2001 772 1[1] Biography Questionnaire 9723 2[2] Youth Questionnaire 2000 Since 2008 the variable BIO is generated to indicate the origin of the information in BIOPAREN (Biography or Youth Questionnaire). This information is valid for all cases from 2001 onwards. alter – Age ?Your date of birth: // 3 Year (from: soep-is/soep-is-2019/PA2:lgeb[28038]) ?Please tell us for each of those children name, year of birth and sex. // Birth year (from: soep-is/soep-is-2019/Q215:hkgeb__a_b_c_d_e_f_g_h_i[28246]) ?What year and month was <first name> born? // Birthyear (from: soep-is/soep-is-2019/ Q258:lkgeb__1_2_3_4_5_6_7_8_9_10[28287]) 17 760 18 222 19 157 20 147 21 156 22 152 23 164 24 135 25 169 26 168 27 149 28 160 29 170 30 183 31 164 ... (51 rows omitted) 9205 83 39 84 37 85 28 86 27 87 21 88 24 89 15 SOEP Survey Papers 1152 6 SOEP Innovation Sample (2020) bioparen ?What level of schooling did your father/mother obtain? // [Mother] (from: soep-is/soep-is2020-fgz/Q572:lm05[]) 0[0] Do Not Know 591 1[1] Secondary School Degree 5987 2[2] Intermediate School Degree 2218 3[3] Technical School Degree 67 4[4] Upper Secondary School Degree 1048 5[5] Other Degree 248 6[6] No School Degree 584 7[7] School Not Attended 0 -1 [-1] No Answer 326 -2 [-2] Does Not Apply 1426 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The parents’ education is generated with information from the Youth Questionnaire, the Biography Questionnaire and direct entries from the PGEN-files. Due to the filter command, the children’s proxy entries are only available for VSBIL / MSBIL when the parents or one parent and the child do not live in the same household at the time of the survey. Along with other variables already contained in BIOPAREN, there will be an update with new survey information, insofar as no valid values exist in BIOPAREN. vsinfo – Origin SBIL Father 0[0] Do Not Know-Proxy 214 1[1] Biography-Proxy 9712 2[2] -Individual Info 228 -1 [-1] No Answer 885 -2 [-2] Does Not Apply 1456 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MSINFO. msinfo – Origin SBIL Mother 0[0] Do Not Know-Proxy 0 1[1] Biography-Proxy 9514 2[2] -Individual Info 395 -1 [-1] No Answer 1173 -2 [-2] Does Not Apply 1413 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 SOEP Survey Papers 1152 13 SOEP Innovation Sample (2020) bioparen The variables VSINFO / MSINFO contain the origin of the information on parental education. vbbil – Vocational Training Father ?(from: soep-is/soep-bip-2020-e/Q238:lv06[]) ?Did your father / your mother complete vocational training or a university degree? // [Father] (from: soep-is/soep-is-2020/Q439:lv06[]) ?Has your father / mother completed vocational training or a university degree? // [Father] (from: soep-is/soep-is-2020-fgz/Q573:lv06[]) 0[0] Do Not Know 855 10 [10] No Vocational Degree 1359 20 [20] Vocational Degree 6118 21 [21] Trained in Foreign Company 3 22 [22] Trained long Time in Foreign Company 1 23 [23] Foreign Vocational School 2 24 [24] Trade,Farming Apprentice 609 25 [25] Business Apprentice 220 26 [26] Health Care School 0 27 [27] Special Technical School 145 28 [28] Civil Service Training 54 30 [30] Tech Engineer School 102 31 [31] Foreign Collage 8 32 [32] College, University 1325 40 [40] Other Training 49 50 [50] Currently in Vocational Training 1 51 [51] Currently in Schooling 4 -1 [-1] No Answer 212 -2 [-2] Does Not Apply 1428 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MBBIL. mbbil – Vocational Training Mother ?(from: soep-is/soep-bip-2020-e/Q238:lm06[]) ?Did your father / your mother complete vocational training or a university degree? // [Mother] (from: soep-is/soep-is-2020/Q439:lm06[]) ?Has your father / mother completed vocational training or a university degree? // [Mother] (from: soep-is/soep-is-2020-fgz/Q573:lm06[]) 0[0] Do Not Know 750 10 [10] No Vocational Degree 3646 20 [20] Vocational Degree 4514 21 [21] Trained in Foreign Company 3 22 [22] Trained long Time in Foreign Company 6 23 [23] Foreign Vocational School 4 SOEP Survey Papers 1152 14 SOEP Innovation Sample (2020) bioparen 24 [24] Trade,Farming Apprentice 592 25 [25] Business Apprentice 423 26 [26] Health Care School 8 27 [27] Special Technical School 70 28 [28] Civil Service Training 24 30 [30] Tech Engineer School 76 31 [31] Foreign Collage 11 32 [32] College, University 651 40 [40] Other Training 41 50 [50] Currently in Vocational Training 10 51 [51] Currently in Schooling 11 -1 [-1] No Answer 243 -2 [-2] Does Not Apply 1412 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The parents’ vocational training is generated the same way as the education variables (see VSBIL / MSBIL). vbinfo – Origin BBIL Father 0[0] Do Not Know-Proxy 855 1[1] Biography-Proxy 9100 2[2] -Individual Info 236 -1 [-1] No Answer 866 -2 [-2] Does Not Apply 1438 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MBINFO. mbinfo – Origin BBIL Mother 0[0] Do Not Know-Proxy 750 1[1] Biography-Proxy 8833 2[2] -Individual Info 309 -1 [-1] No Answer 1177 -2 [-2] Does Not Apply 1426 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The variables VBINFO / MBINFO contain the origin of the information on parental vocational training. SOEP Survey Papers 1152 15 SOEP Innovation Sample (2020) bioparen vnat – Nationality of Father ?Does or did your father / mother have German citizenship? // [Father] (from: soep-is/ soep-is-2019/Q569:lv03d[28574]) 1[1] Germany 8623 2[2] Other 1255 -1 [-1] No Answer 915 -2 [-2] Does Not Apply 1702 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MNAT. mnat – Nationality of Mother ?Does or did your father / mother have German citizenship? // [Mother] (from: soep-is/ soep-is-2019/Q569:lm03d[28574]) 1[1] Germany 8918 2[2] Other 1040 -1 [-1] No Answer 233 -2 [-2] Does Not Apply 1661 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 -8 643 The question is only asked to youngsters who are not living in the same household as their parents. PGEN information is used to compute a variable with data from 2006 onwards. In a further step the parents’ personal numbers are used to match information on parents’ nationality with data from the PGEN-files in the case if there are missing entries. vorigin – Country of Origin, Father ?In which country / state lies your father’s /your mother’s place of birth today? // [Father] (from: soep-is/soep-is-2019/Q563:lvgebal[28568]) 1[1] Germany 7563 2[2] Turkey 215 3[3] Ex-Yugoslavia 21 4[4] Greece 23 5[5] Italy 80 6[6] Spain 15 7[7] Ex-GDR (Country Of Origin Only) 2 10 [10] Austria 71 11 [11] France 25 12 [12] Benelux 0 13 [13] Denmark 2 SOEP Survey Papers 1152 16 SOEP Innovation Sample (2020) bioparen 14 [14] Great Britain 13 15 [15] Sweden 4 16 [16] Norway 0 17 [17] Finland 6 ... (158 rows omitted) 1213 176 [176] Lesotho 0 177 [177] Bhutan 1 178 [178] Rwanda 0 179 [179] Malawi 0 180 [180] Bessarabia 1 188 [188] Tschetschenien 1 196 [196] Kosovo 1 222 [222] Eastern Europe 0 333 [333] Other, not specified foreign country 0 -1 [-1] No Answer 3238 -2 [-2] Does Not Apply 0 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MORIGIN. morigin – Country of Origin, Mother ?In which country / state lies your father’s /your mother’s place of birth today? // [Mother] (from: soep-is/soep-is-2019/Q563:lmgebal[28568]) 1[1] Germany 7651 2[2] Turkey 200 3[3] Ex-Yugoslavia 15 4[4] Greece 25 5[5] Italy 55 6[6] Spain 9 7[7] Ex-GDR (Country Of Origin Only) 1 10 [10] Austria 74 11 [11] France 28 12 [12] Benelux 0 13 [13] Denmark 2 14 [14] Great Britain 13 15 [15] Sweden 1 16 [16] Norway 3 17 [17] Finland 5 ... (157 rows omitted) 1129 175 [175] Grenada 0 176 [176] Lesotho 0 177 [177] Bhutan 1 178 [178] Rwanda 0 179 [179] Malawi 0 180 [180] Bessarabia 1 196 [196] Kosovo 1 SOEP Survey Papers 1152 17 SOEP Innovation Sample (2020) bioparen 222 [222] Eastern Europe 0 333 [333] Other, not specified foreign country 0 -1 [-1] No Answer 3281 -2 [-2] Does Not Apply 0 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 These variables give information about the country of origin of the respondents mother (MORIGIN) and father (VORIGIN). This information is collected in the Youth Questionnaires since 2007. Another source of information can be found in PPFAD by the direct-entries of the parents in the variable CORIGIN. These two kinds of information, proxyand direct-entries, are used to generate MORIGIN and VORIGIN. In a first step we use the proxy-information for all the parents whose children made an entry in the Youth Questionnaire. For all the parents where there are no proxy-information available, we then use the direct-entries of the parents from the PPFAD-variable CORIGIN. vreli – Religion Father 0[0] Do Not Know - Proxy 0 1[1] Catholic 885 2[2] Protestant 1139 3[3] Other Christian Denomination 51 4[4] Islamic Denomination 41 5[5] Other Denomination 55 6[6] No Denomination 399 -1 [-1] No Answer 273 -2 [-2] Does Not Apply 70 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9582 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MRELI. mreli – Religion Mother 0[0] Do Not Know - Proxy 0 1[1] Catholic 899 2[2] Protestant 1241 3[3] Other Christian Denomination 55 4[4] Islamic Denomination 39 5[5] Other Denomination 51 6[6] No Denomination 361 -1 [-1] No Answer 261 -2 [-2] Does Not Apply 1 -3 [-3] Answer Improbable 5 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9582 SOEP Survey Papers 1152 18 SOEP Innovation Sample (2020) bioparen -6 [-6] Questionnaire Version With Modified Filtering 0 The questions about the religious affiliation of the parents are only asked to youngsters who are not living in the household of their parents. In order to provide as much information as possible we gather data from the Personal Questionnaires. The reconstruction of the information on the parents’ religion is restricted to the survey years 1997, 2003 and 2007 as they are the only years where information of a respondent’s religious affiliation is available. In all survey years the question was formulated differently but the information is made as consistent as possible. vbstell – Job Position Father ?(from: soep-is/soep-bip-2020-e/Q239:lv11[]) ?In what professional position was your father/mother when you yourself were 15 years old? // [Father] (from: soep-is/soep-is-2020/Q440:lv12[]) ?In what professional position was your father/mother when you yourself were 15 years old? // Blue-collar worker (Arbeiter) (also in agriculture) [Father] (from: soep-is/soep-is-2020/ Q440:lv08[]) ?In what professional position was your father/mother when you yourself were 15 years old? // White-collar worker (Angestellte) [Father] (from: soep-is/soep-is-2020/Q440:lv09[]) ?In what professional position was your father/mother when you yourself were 15 years old? // Civil servant or public administration employee (including judges and professional soldiers) [Father] (from: soep-is/soep-is-2020/Q440:lv10[]) ?In what professional position was your father/mother when you yourself were 15 years old? // Self-employed (including family members working for the self-employed) [Father] (from: soep-is/soep-is-2020/Q440:lv11[]) ?In what professional position was your father / mother when you were 15 years old? // [Father] (from: soep-is/soep-is-2020-fgz/Q574:lv12[]) ?blue-collar worker [Father] (from: soep-is/soep-is-2020-fgz/Q575:lv08[]) ?white-collar worker [father] (from: soep-is/soep-is-2020-fgz/Q576:lv09[]) ?Civil servant or public administration employee [father] (from: soep-is/soep-is-2020-fgz/ Q577:lv10[]) ?Self-employed [Father] (from: soep-is/soep-is-2020-fgz/Q578:lv11[]) 0[0] do not know 0 1[1] Has Died 544 10 [10] not employed 264 11 [11] in Education 1 12 [12] Unemployed, Sick 66 13 [13] Pensioner 62 14 [14] war captivity 0 15 [15] Military, Com. Service 10 200 [200] BLUE-COLLAR WORKER 0 210 [210] Untrained Worker 353 220 [220] Semi-Trained Worker 1018 230 [230] Trained Worker 2136 240 [240] Foreman, Team Leader 154 250 [250] Foreman 162 310 [310] Agricultural Worker 0 ... (24 rows omitted) 1713 SOEP Survey Papers 1152 19 SOEP Innovation Sample (2020) bioparen 522 [522] Trained Employee With Simple Tasks, since 1991 522 530 [530] Qualified Professional 1267 540 [540] H. Qualified Professional 835 550 [550] Managerial 173 600 [600] CIVIL SERVANT 0 610 [610] Low-Level Civil Service 73 620 [620] Middle-Level Civil Service 338 630 [630] High-Level Civil Service 284 640 [640] Executive Civil Service 180 -1 [-1] No Answer 277 -2 [-2] Does Not Apply 2063 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MBSTELL. mbstell – Job Position Mother ?(from: soep-is/soep-bip-2020-e/Q239:lm11[]) ?In what professional position was your father/mother when you yourself were 15 years old? // [Mother] (from: soep-is/soep-is-2020/Q440:lm12[]) ?In what professional position was your father/mother when you yourself were 15 years old? // Blue-collar worker (Arbeiter) (also in agriculture) [Mother] (from: soep-is/soep-is-2020/ Q440:lm08[]) ?In what professional position was your father/mother when you yourself were 15 years old? // White-collar worker (Angestellte) [Mother] (from: soep-is/soep-is-2020/Q440:lm09[]) ?In what professional position was your father/mother when you yourself were 15 years old? // Civil servant or public administration employee (including judges and professional soldiers) [Mother] (from: soep-is/soep-is-2020/Q440:lm10[]) ?In what professional position was your father/mother when you yourself were 15 years old? // Self-employed (including family members working for the self-employed) [Mother] (from: soep-is/soep-is-2020/Q440:lm11[]) ?In what professional position was your father / mother when you were 15 years old? // [Mother] (from: soep-is/soep-is-2020-fgz/Q574:lm12[]) ?blue-collar worker [Father] // blue-collar worker [Mother] (from: soep-is/soep-is-2020-fgz/ Q575:lm08[]) ?white-collar worker [father] // white-collar worker [mother] (from: soep-is/soep-is-2020-fgz/ Q576:lm09[]) ?Civil servant or public administration employee [father] // Civil servant or public administration employee [mother] (from: soep-is/soep-is-2020-fgz/Q577:lm10[]) ?Self-employed [Father] // Self-employed [mother] (from: soep-is/soep-is-2020-fgz/Q578:lm11 []) 0[0] do not know 0 1[1] Has Died 177 10 [10] not employed 3223 11 [11] in Education 16 12 [12] Unemployed, Sick 85 SOEP Survey Papers 1152 20 SOEP Innovation Sample (2020) bioparen 13 [13] Pensioner 51 14 [14] war captivity 0 15 [15] Military, Com. Service 0 120 [120] Apprentice,Trainee Industry Technology 1 200 [200] BLUE-COLLAR WORKER 0 210 [210] Untrained Worker 532 220 [220] Semi-Trained Worker 846 230 [230] Trained Worker 557 240 [240] Foreman, Team Leader 8 250 [250] Foreman 5 ... (25 rows omitted) 1160 522 [522] Trained Employee With Simple Tasks, since 1991 963 530 [530] Qualified Professional 1592 540 [540] H. Qualified Professional 267 550 [550] Managerial 26 600 [600] CIVIL SERVANT 0 610 [610] Low-Level Civil Service 11 620 [620] Middle-Level Civil Service 77 630 [630] High-Level Civil Service 106 640 [640] Executive Civil Service 47 -1 [-1] No Answer 1018 -2 [-2] Does Not Apply 1727 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The children’s proxy entries on professional position and occupation of the father (VBSTELL) as well as VISCO88 and all prestige scores are available when the father and the child do not live in the same household at the time of the survey and if the father lived in Germany when the child was 16 years old. Since 2000, the same applies to the entries of the mother for MVSTELL and MISCO88. Besides the proxy entries parents’ direct information from the $P-files are used. vbsinfo – Origin VBSTELL Father 0[0] Do Not Know-Proxy 0 1[1] Biography-Proxy 9166 2[2] -Individual Info 266 -1 [-1] No Answer 954 -2 [-2] Does Not Apply 2109 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MBSINFO. mbsinfo – Origin VBSTELL Mother SOEP Survey Papers 1152 21 SOEP Innovation Sample (2020) bioparen 0[0] Do Not Know-Proxy 0 1[1] Biography-Proxy 8548 2[2] -Individual Info 218 -1 [-1] No Answer 1980 -2 [-2] Does Not Apply 1749 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The variables VBSINFO / MBSINFO are indicator variables. They tell whether the information is from the Biography or Youth or Personal Questionnaires. This information is generated at the same steps as it is done with the VBSTELL / MBSTELL variables. vbklas92 – FATHER: Current Occupational Classification (KldB92) 110 [110] Landwirt(e/innen), allgemein 507 111 [111] Obstund Gemüsebauern/-bäuerinnen (nicht Gärtner/innen) 1 112 [112] Ackerbauern/-bäuerinnen für Spezial-, Dauerkulturen 1 113 [113] Viehhalter/innen und Grünlandwirt(e/innen) 1 114 [114] Saat-, Pflanzenzüchter/innen, Vermehrer/innen (nicht Gärtner/innen) 0 115 [115] Pflanzenschützer/innen 2 116 [116] Landwirt(e/innen) und Gastwirt(e/innen)/Kaufleute 7 118 [118] Landwirt(e/innen) und Winzer/innen 1 120 [120] Winzer/innen, allgemein 4 121 [121] Rebenveredler/innen 0 129 [129] andere Winzer/innen 0 130 [130] Landarbeitskräfte, allgemein 36 131 [131] Landarbeitsaufseher/innen 1 132 [132] Landmaschinenführer/innen 6 133 [133] Weinbergsarbeiter/innen 0 ... (2262 rows omitted) 8342 9832 [9832] Sonstige Arbeitskräfte (arbeitsuchend) mit (noch) nicht bestimmtem Beruf 0 9911 [9911] Facharbeiter/innen o.n.T. 10 9921 [9921] Heimarbeiter/innen o.n.T. 0 9931 [9931] Vorarbeiter/innen, Gruppenleiter/innen o.n.T. 16 9941 [9941] Zivildienstleistende o.n.T. 0 9951 [9951] Selbständige o.n.T. 9 9961 [9961] Beratungs-, Planungsfachleute o.n.T. 3 9971 [9971] Sonstige Arbeitskräfte o.n.T. 4 -1 [-1] No Answer 701 -2 [-2] Does Not Apply 631 -3 [-3] Answer Improbable 785 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 1427 -6 [-6] Questionnaire Version With Modified Filtering 0 -8 [-8] Question this year not part of Survey program 0 This variable is designed to provide data on job classification for fathers according to the classification of the German Federal Statistical Office (StaBuA) from 1992. The recoding has SOEP Survey Papers 1152 22 SOEP Innovation Sample (2020) bioparen four-digit form. ISCO-08 was adopted through a resolution of a Tripartite Meeting of Experts on Labour Statistics held in December 2007. This resolution was subsequently endorsed by the Governing Body of the ILO in March 2008. Sourcelink: http://www.ilo.org/public/english/bureau/stat/isco/isco08/index.htm Source of German Labels http://ec.europa.eu/eurostat/ramon/documents/SCL/isco08/SCL_isco08.zip In the SOEP-IS, ISCO-08 (visco08 & misco08) was first implemented in wave 2016 and is coded [-5] in all previous waves. vmps92 – FATHER: Magnitude Prestige Scale (based on KldB92) 30.1 70 30.1000003814697 21 30.2 57 30.2000007629395 27 30.2999992370605 2 30.3 4 31 148 31.1 25 31.1000003814697 4 31.2 13 31.2000007629395 3 31.5 94 31.7 43 31.7000007629395 23 31.7999992370605 8 ... (290 rows omitted) 8181 145.699996948242 10 145.7 26 152.5 41 153.5 13 191.3 56 191.300003051758 21 207.199996948242 2 207.2 8 216 13 -1 [-1] No Answer 748 -2 [-2] Does Not Apply 622 -3 [-3] Answer Improbable 785 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 1427 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MMPS92. vmps08 – FATHER: Magnitude Prestige Scale (based on IS88 recoded from IS08) 20 9 23.9 16 24.7 15 SOEP Survey Papers 1152 29 SOEP Innovation Sample (2020) bioparen 26.7 6 26.9 10 28.6 2 30 2 30.3 2 31.8 16 31.9 3 32.4 1 34.7 7 35.6 4 36.1 1 36.6 1 ... (127 rows omitted) 1239 150.8 29 153.5 5 153.8 15 159.8 8 160.3 10 160.5 7 170.9 3 179.6 19 186.8 2 -1 [-1] No Answer 988 -2 [-2] Does Not Apply 731 -3 [-3] Answer Improbable 5 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9339 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MMPS08. mmps92 – MOTHER: Magnitude Prestige Scale (based on KldB92) 30 24 30.1 153 30.1000003814697 43 30.2999992370605 2 30.3 2 31 134 31.2 1 31.5 36 31.7 25 31.7000007629395 1 31.7999992370605 2 31.8 10 31.8999996185303 1 31.9 5 32 6 ... (223 rows omitted) 5413 145.699996948242 1 SOEP Survey Papers 1152 30 SOEP Innovation Sample (2020) bioparen 145.7 5 152.5 7 153.5 1 191.3 25 191.300003051758 10 207.199996948242 3 207.2 3 216 8 -1 [-1] No Answer 786 -2 [-2] Does Not Apply 2555 -3 [-3] Answer Improbable 165 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 3068 -6 [-6] Questionnaire Version With Modified Filtering 0 These variables give the occupational prestige score developed by Wegener (1988) for fathers and mothers. Like the SIOPS prestige sore, Wegener’s prestige scala measures a person’s occupational prestige and was developed especially for use in the Federal Republic of Germany. MPS is assigned based on the German Federal Statistical Office’s occupational classification of 1992 (KLAS). The procedure has been documented in Frietsch and Wirth (2001). In the SOEP-IS, vmps92 & mmps92 are released up until 2016 and coded to [-5] afterwards. Starting in 2017, only vmps08 & mmps08 scores will be released. Wegener, Bernd (1988): Kritik des Prestiges, Opladen. Frietsch, Rainer, and Heike Wirth (2001): Die Übertragung der Magnitude-Prestigeskala von Wegener auf die Klassifikation der Berufe. In: ZUMA Nachrichten 48 (Jg.25): 139-165. mmps08 – MOTHER: Magnitude Prestige Scale (based on IS88 recoded from IS08) 20 1 23.9 53 26.9 11 30 73 31.2 13 31.8 15 32.4 4 36.8 1 38.1 1 38.3 2 39.2 4 40.5 2 40.6 1 41.5 58 44.2 16 ... (75 rows omitted) 726 145.2 1 147.1 1 149.2 36 150.8 4 153.8 10 159.8 4 SOEP Survey Papers 1152 31 SOEP Innovation Sample (2020) bioparen 160.5 4 179.6 4 186.8 3 -1 [-1] No Answer 900 -2 [-2] Does Not Apply 1205 -3 [-3] Answer Improbable 3 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9339 -6 [-6] Questionnaire Version With Modified Filtering 0 The Magnitude-Prestige-Scale (MPS) is a tool for operationalising the social position of occupations in empirical surveys. In contrast to alternative instruments such as the Standard International Occupational Prestige Scale (SIOPS) or the International Socio-economic Index of Occupational Status (ISEI), the MPS is an instrument that was constructed for analyses on the national level only (Christoph, 2005). Starting in SOEP-IS wave 2016, mps08 is derived from ISCO-88 scores that themselves are derived from ISCO-08 scores using the „derivescores“ STATA package (https://github.com/dirtyhawk/stata-derivescores). In the SOEP-IS, vmps08 & mmps08 were first implemented in wave 2016 and are coded [-5] in all previous waves. vsiops88 – FATHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS88) 6 1 13 9 15 87 17 1 18 21 19 181 20 120 21 25 22 8 23 94 24 104 25 77 26 14 27 53 28 125 ... (38 rows omitted) 7668 68 1 69 13 70 115 71 16 72 26 73 26 75 10 76 11 78 118 -1 [-1] No Answer 737 -2 [-2] Does Not Apply 622 -3 [-3] Answer Improbable 785 SOEP Survey Papers 1152 32 SOEP Innovation Sample (2020) bioparen -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 1427 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MSIOPS88. vsiops08 – FATHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS08) 5 1 13 4 15 15 18.02 5 20 2 20.03 1 20.3 9 20.39 1 21 2 21.08 33 21.67 5 22 1 22.28 13 22.69 2 22.9 1 ... (132 rows omitted) 1372 70 16 72 7 73.1 3 73.51 8 75 2 75.68 3 76.11 2 78.01 19 78.16 8 -1 [-1] No Answer 885 -2 [-2] Does Not Apply 731 -3 [-3] Answer Improbable 5 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9339 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MSIOPS08. msiops88 – MOTHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS88) 13 2 17 7 18 1 19 173 20 43 21 384 SOEP Survey Papers 1152 33 SOEP Innovation Sample (2020) bioparen 22 102 23 272 24 20 25 42 26 146 27 10 28 15 29 63 30 30 ... (35 rows omitted) 4531 67 3 68 1 69 3 70 20 71 5 72 6 73 2 76 6 78 42 -1 [-1] No Answer 783 -2 [-2] Does Not Apply 2555 -3 [-3] Answer Improbable 165 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 3063 -6 [-6] Questionnaire Version With Modified Filtering 0 These variables give the occupational prestige score index for fathers and mothers. SIOPS is based on ISCO-88 and was developed by Donald Treiman et al. The scale ranges from 6 to 78. In the SOEP-IS, vsiops88 & msiops88 are released up until 2016 and coded to [-5] afterwards. Starting in 2017, only vsiops08 & msiops08 scores will be released. msiops08 – MOTHER: TREIMANS STANDARD INT.OCC.PR.SCORE (based on IS08) 18.02 1 20 69 20.03 2 20.3 4 20.39 7 21 9 21.08 33 21.67 8 22 18 22.28 43 22.9 1 23 7 23.13 3 23.79 4 24 4 ... (88 rows omitted) 923 SOEP Survey Papers 1152 34 SOEP Innovation Sample (2020) bioparen 65 1 66 4 69.4 1 70 2 72 5 73.51 5 76.11 3 78.01 4 78.16 4 -1 [-1] No Answer 802 -2 [-2] Does Not Apply 1186 -3 [-3] Answer Improbable 3 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9339 -6 [-6] Questionnaire Version With Modified Filtering 0 These variables give the occupational prestige score index for fathers and mothers. SIOPS is based on ISCO-88 and was developed by Donald Treiman et al. The scale ranges from 6 to 78. Starting in SOEP-IS wave 2016, vsiops08 & msiops08 are derived from ISCO-88 scores that themselves are derived from ISCO-08 scores using the „derivescores“ STATA package (https://github.com/dirtyhawk/stata-derivescores). This recoding is derived from Ganzeboom‘s SPSS script iskotrei.sps. (http://www.harryganzeboom.nl/isco88/index.htm). In the SOEP-IS, vsiops08 & msiops08 were first implemented in wave 2016 and are coded [-5] in all previous waves. visei88 – FATHER: ISEI-Status following Ganzeboom (based on IS88) 16 101 19 45 20 176 21 107 22 40 23 715 24 14 25 13 26 229 27 87 28 82 29 690 30 989 31 142 32 157 ... (37 rows omitted) 5061 77 61 78 11 79 27 82 16 83 12 85 39 87 22 SOEP Survey Papers 1152 35 SOEP Innovation Sample (2020) bioparen 88 77 90 11 -1 [-1] No Answer 737 -2 [-2] Does Not Apply 622 -3 [-3] Answer Improbable 785 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 1427 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MISEI88. visei08 – FATHER: ISEI-Status following Ganzeboom (based on IS08) 11.01 1 11.74 13 12.01 3 13.34 7 13.87 2 14.21 2 14.39 2 14.57 1 15.35 20 16.36 33 17.56 4 17.69 9 17.79 77 17.85 1 18.02 4 ... (194 rows omitted) 1289 82.41 34 83.5 1 84.14 1 84.61 3 85.41 8 86.72 3 88.31 2 88.7 13 88.96 2 -1 [-1] No Answer 885 -2 [-2] Does Not Apply 731 -3 [-3] Answer Improbable 5 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9339 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MISEI08. misei88 – MOTHER: ISEI-Status following Ganzeboom (based on IS88) SOEP Survey Papers 1152 36 SOEP Innovation Sample (2020) bioparen 16 658 19 35 20 169 21 1 22 13 23 346 24 27 25 151 26 33 27 20 28 3 29 201 30 335 31 28 32 25 ... (34 rows omitted) 3810 77 10 78 5 79 1 82 5 83 1 85 10 87 1 88 35 90 6 -1 [-1] No Answer 783 -2 [-2] Does Not Apply 2555 -3 [-3] Answer Improbable 165 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 3063 -6 [-6] Questionnaire Version With Modified Filtering 0 These variables reflect the Standard International Socio-Economic Index of Occupational Status for fathers and mothers. The ISEI Index was developed in 1992 by Ganzeboom, De Graaf, Treiman, and De Leew based on information about income, education, and occupation. Technically, ISEI was created by scaling the ISCO-88 classification. The values for the variable range between 16 and 90. In contrast to the prestige scores of Ganzeboom and Treiman (1996) and Wegener (1988), ISEI is a measure of socio-economic status. It is derived from the ISCO-88 code of the current occupation using the Stata ado iskoisei by John Hendrick which itself is based on Harry Gaanzeboom’s SPSS algorithms. In the SOEP-IS, visei88 & misei88 are released up until 2016 and coded to [-5] afterwards. Starting in 2017, only visei08 & misei08 scores will be released. Ganzeboom, H. B. G. / De Graaf, P .M. / Treiman, D. J. / De Leew, J.(1992): A Standard International Socio-Economic Index of Occupation Status, In: Social Science Research 21: 1-56 misei08 – MOTHER: ISEI-Status following Ganzeboom (based on IS08) 11.74 51 12.01 2 14.21 56 SOEP Survey Papers 1152 37 SOEP Innovation Sample (2020) bioparen 14.57 2 15.35 1 16.36 33 16.38 13 16.5 17 16.8 7 17.55 1 17.69 4 17.79 39 17.85 3 18.03 9 18.13 3 ... (129 rows omitted) 882 81.92 1 82.31 1 82.41 27 84.14 1 85.41 4 85.85 1 88.31 1 88.7 3 88.96 3 -1 [-1] No Answer 802 -2 [-2] Does Not Apply 1186 -3 [-3] Answer Improbable 3 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9339 -6 [-6] Questionnaire Version With Modified Filtering 0 These variables reflect the Standard International Socio-Economic Index of Occupational Status for fathers and mothers. The ISEI Index was developed in 1992 by Ganzeboom, De Graaf, Treiman, and De Leew based on information about income, education, and occupation. Technically, ISEI was created by scaling the ISCO-88 classification. The values for the variable range between 11 and 90. In contrast to the prestige scores of Ganzeboom and Treiman (1996) and Wegener (1988), ISEI is a measure of socio-economic status. Starting in SOEPIS wave 2016, visei08 & misei08 are derived from ISCO-88 scores that themselves are derived from ISCO-08 scores using the „derivescores“ STATA package (https://github.com/dirtyhawk/stataderivescores). This recoding is derived from Ganzeboom‘s SPSS script iskoisei.sps. (http://www.harryganzeboom.nl/isco88/index.htm). In the SOEP-IS, visei08 & misei08 were first implemented in wave 2016 and are coded [-5] in all previous waves. Ganzeboom, H. B. G. / De Graaf, P .M. / Treiman, D. J. / De Leew, J.(1992): A Standard International Socio-Economic Index of Occupation Status, In: Social Science Research 21: 1-56 vegp88 – FATHER: ERIKSON and GOLDTHORPE Class Category (based on IS88) 1[1] [I] Higher Managerial and Professional Workers 1193 2[2] [II] Lower Managerial and Professional Workers 1400 3[3] [IIIa] Routine Clerical Work 381 4[4] [IIIb] Routine Service and Sales Work 397 5[5] [IVa] Small Self-Employed With Employees 124 SOEP Survey Papers 1152 38 SOEP Innovation Sample (2020) bioparen 0 10582 1 34 2 27 3 27 4 18 5 11 6 13 7 12 811 9 15 10 14 11 7 12 15 13 9 14 8 15 69 -1 [-1] No Answer 0 -2 [-2] Does Not Apply 4 -3 [-3] Answer Improbable 1 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 1618 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of LIVING8. living7 – No. Of Years Living With Foster Parents ?(from: soep-is/soep-bip-2020-e/Q109:lkh09[]) ?How many years of your childhood (up to the age of 15) did you live with the following persons? // With foster parents [years] (from: soep-is/soep-is-2020/Q186:lkh09[]) 0 10777 1 5 2 5 3 6 4 3 5 3 6 5 74 8 4 9 4 10 3 11 2 12 8 13 10 14 5 15 28 -1 [-1] No Answer 0 -2 [-2] Does Not Apply 4 -3 [-3] Answer Improbable 1 -4 [-4] Inadmissible Multiple Answer 0 SOEP Survey Papers 1152 45 SOEP Innovation Sample (2020) bioparen -5 [-5] Not Contained In Questionnaire 1618 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of LIVING8. living8 – No. Of Years Living In Home ?(from: soep-is/soep-bip-2020-e/Q109:lkh10[]) ?How many years of your childhood (up to the age of 15) did you live with the following persons? // In an orphanage [years] (from: soep-is/soep-is-2020/Q186:lkh10[]) 0 10721 1 27 2 17 3 23 4 13 5 15 6 9 7 5 8 10 9 12 10 3 11 1 12 2 13 3 15 11 -1 [-1] No Answer 0 -2 [-2] Does Not Apply 4 -3 [-3] Answer Improbable 1 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 1618 -6 [-6] Questionnaire Version With Modified Filtering 0 The variables LIVING1-8 show the total number of years for different categories of where the child lived during his childhood. vstreit – Argue Or Fight With Father When Respondent 15 1[1] Very Often 73 2[2] Often 191 3[3] Sometimes 516 4[4] Seldom 666 5[5] Never 413 6[6] Person Not Present 249 -1 [-1] No Answer 773 -2 [-2] Does Not Apply 32 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9582 -6 [-6] Questionnaire Version With Modified Filtering 0 SOEP Survey Papers 1152 46 SOEP Innovation Sample (2020) bioparen See description of MSTREIT. mstreit – Argue Or Fight With Mother When Respondent 15 1[1] Very Often 78 2[2] Often 250 3[3] Sometimes 576 4[4] Seldom 721 5[5] Never 405 6[6] Person Not Present 85 -1 [-1] No Answer 772 -2 [-2] Does Not Apply 26 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 9582 -6 [-6] Questionnaire Version With Modified Filtering 0 The variables provide information on the frequency of conflicts with the parents. vaortakt – Current residence of Father ?(from: soep-is/soep-bip-2020-e/Q224:lmlebh[]) ?Does your father/mother live here in the household? // [Father] (from: soep-is/soep-is-2020fgz/Q559:lvlebh[]) ?Does your father/mother live here in the household? // [Mother] (from: soep-is/soep-is2020-fgz/Q559:lmlebh[]) 0[0] Has Died 1378 1[1] Lives In Same HH 1049 2[2] Lives In Same Housing 25 3[3] Lives Neighborhood 44 4[4] Lives Same Town 327 5[5] Lives Other Town 183 6[6] Lives Elsewhere In Germany 99 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere E Germany 72 9[9] Lives Elsewhere W Germany 244 10 [10] Lives Foreign Country 107 -1 [-1] No Answer 8966 -2 [-2] Does Not Apply 1 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORTAKT. vaortup – Year of Update of VAORTAKT SOEP Survey Papers 1152 47 SOEP Innovation Sample (2020) bioparen 2001 59 2006 670 2007 21 2008 19 2010 1753 2011 247 2012 19 2013 158 2014 117 2015 66 2016 146 2017 72 2018 69 2019 51 2020 61 -1 [-1] No Answer 93 -2 [-2] Does Not Apply 3520 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 5354 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORTUP. maortakt – Current residence of Mother ?(from: soep-is/soep-bip-2020-e/Q224:lmlebh[]) ?Does your father/mother live here in the household? // [Father] (from: soep-is/soep-is-2020fgz/Q559:lvlebh[]) ?Does your father/mother live here in the household? // [Mother] (from: soep-is/soep-is2020-fgz/Q559:lmlebh[]) 0[0] Has Died 1100 1[1] Lives In Same HH 1417 2[2] Lives In Same Housing 40 3[3] Lives Neighborhood 65 4[4] Lives Same Town 476 5[5] Lives Other Town 208 6[6] Lives Elsewhere In Germany 116 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere E Germany 96 9[9] Lives Elsewhere W Germany 303 10 [10] Lives Foreign Country 94 -1 [-1] No Answer 8577 -2 [-2] Does Not Apply 3 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The variables VAORTAKT and MAORTAKT contain the latest available information about SOEP Survey Papers 1152 48 SOEP Innovation Sample (2020) bioparen the parents’ residence and on whether or not they are deceased, respectively. For persons without identified parents who answered the biography questionnaire up to the year 2011, the most recent available information from the Personal Questionnaire in, 2001, 2006 or 2011 was assumed. For those persons whose parents are identified in the SOEP, the information on the year of death in PPFAD was used for updating. If the year of death lies chronologically after the latest available information, VAORTAKT and MAORTAKT were put on “Has Died”. maortup – Year of Update of MAORTAKT 2001 75 2006 634 2007 19 2008 24 2010 1808 2011 304 2012 28 2013 213 2014 162 2015 98 2016 202 2017 95 2018 102 2019 68 2020 83 -1 [-1] No Answer 74 -2 [-2] Does Not Apply 3304 -3 [-3] Answer Improbable 0 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 5202 -6 [-6] Questionnaire Version With Modified Filtering 0 The variable contains the year, in which the information stored in VAORTAKT and MAORTAKT has been updated. vaort91 – Place Of Residence Father 91 0[0] Has Died 0 1[1] Lives In Same HH 0 2[2] Lives In Same Housing 0 3[3] Lives Neighborhood 0 4[4] Lives Same Town 0 5[5] Lives Other Town 0 6[6] Lives Elsewhere In Germany 0 7[7] Lives Elsewhere 0 8[8] Lives Else E Germany 0 9[9] Lives Else W Germany 0 10 [10] Lives Foreign Country 0 -1 [-1] No Answer 0 -2 [-2] Does Not Apply 0 -3 [-3] Answer Improbable 12495 SOEP Survey Papers 1152 49 SOEP Innovation Sample (2020) bioparen -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. maort91 – Place Of Residence Mother 91 0[0] Has Died 0 1[1] Lives In Same HH 0 2[2] Lives In Same Housing 0 3[3] Lives Neighborhood 0 4[4] Lives Same Town 0 5[5] Lives Other Town 0 6[6] Lives Elsewhere In Germany 0 7[7] Lives Elsewhere 0 8[8] Lives Else E Germany 0 9[9] Lives Else W Germany 0 10 [10] Lives Foreign Country 0 -1 [-1] No Answer 0 -2 [-2] Does Not Apply 0 -3 [-3] Answer Improbable 12495 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. vaort96 – Place Of Residence Father 96 0[0] Has Died 0 1[1] Lives In Same HH 0 2[2] Lives In Same Housing 0 3[3] Lives Neighborhood 0 4[4] Lives Same Town 0 5[5] Lives Other Town 0 6[6] Lives Elsewhere In Germany 0 7[7] Lives Elsewhere 0 8[8] Lives Else E Germany 0 9[9] Lives Else W Germany 0 10 [10] Lives Foreign Country 0 -1 [-1] No Answer 0 -2 [-2] Does Not Apply 0 -3 [-3] Answer Improbable 12495 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. SOEP Survey Papers 1152 50 SOEP Innovation Sample (2020) bioparen maort96 – Place Of Residence Mother 96 0[0] Has Died 0 1[1] Lives In Same HH 0 2[2] Lives In Same Housing 0 3[3] Lives Neighborhood 0 4[4] Lives Same Town 0 5[5] Lives Other Town 0 6[6] Lives Elsewhere In Germany 0 7[7] Lives Elsewhere 0 8[8] Lives Else E Germany 0 9[9] Lives Else W Germany 0 10 [10] Lives Foreign Country 0 -1 [-1] No Answer 0 -2 [-2] Does Not Apply 0 -3 [-3] Answer Improbable 12495 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. vaort01 – Place Of Residence Father 01 0[0] Has Died 383 1[1] Lives In Same HH 63 2[2] Lives In Same Housing 12 3[3] Lives Neighborhood 28 4[4] Lives Same Town 59 5[5] Lives Other Town 94 6[6] Lives Elsewhere In Germany 57 7[7] Lives Elsewhere 0 8[8] Lives Else E Germany 1 9[9] Lives Else W Germany 0 10 [10] Lives Foreign Country 12 -1 [-1] No Answer 66 -2 [-2] Does Not Apply 22 -3 [-3] Answer Improbable 11698 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. maort01 – Place Of Residence Mother 01 0[0] Has Died 291 1[1] Lives In Same HH 75 2[2] Lives In Same Housing 25 SOEP Survey Papers 1152 51 SOEP Innovation Sample (2020) bioparen 3[3] Lives Neighborhood 41 4[4] Lives Same Town 84 5[5] Lives Other Town 120 6[6] Lives Elsewhere In Germany 79 7[7] Lives Elsewhere 0 8[8] Lives Else E Germany 0 9[9] Lives Else W Germany 0 10 [10] Lives Foreign Country 11 -1 [-1] No Answer 46 -2 [-2] Does Not Apply 25 -3 [-3] Answer Improbable 11698 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. vaort06 – Residence Of Father 2006 0[0] Has Died 417 1[1] Lives In Same HH 54 2[2] Lives In Same Housing 14 3[3] Lives Neighborhood 29 4[4] Lives Same Town 46 5[5] Lives Other Town 118 6[6] Lives Elsewhere In Germany 54 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere E Germany 0 9[9] Lives Elsewhere W Germany 0 10 [10] Lives Foreign Country 10 -1 [-1] No Answer 88 -2 [-2] Does Not Apply 86 -3 [-3] Answer Improbable 11579 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. maort06 – Residence Of Mother 2006 0[0] Has Died 323 1[1] Lives In Same HH 64 2[2] Lives In Same Housing 19 3[3] Lives Neighborhood 39 4[4] Lives Same Town 74 5[5] Lives Other Town 145 6[6] Lives Elsewhere In Germany 67 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere E Germany 0 SOEP Survey Papers 1152 52 SOEP Innovation Sample (2020) bioparen 9[9] Lives Elsewhere W Germany 0 10 [10] Lives Foreign Country 10 -1 [-1] No Answer 84 -2 [-2] Does Not Apply 91 -3 [-3] Answer Improbable 11579 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. vaort11 – Residence Of Mother 2011 0[0] Has Died 1378 1[1] Lives In Same HH 290 2[2] Lives In Same Housing 25 3[3] Lives Neighborhood 44 4[4] Lives Same Town 327 5[5] Lives Other Town 183 6[6] Lives Elsewhere In Germany 99 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere in East-Germany 72 9[9] Lives Elsewhere in West-Germany 244 10 [10] Lives Foreign Country 107 -1 [-1] No Answer 339 -2 [-2] Does Not Apply 1 -3 [-3] Answer Improbable 9386 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. maort11 – Residence Of Father 2011 0[0] Has Died 1100 1[1] Lives In Same HH 366 2[2] Lives In Same Housing 40 3[3] Lives Neighborhood 65 4[4] Lives Same Town 476 5[5] Lives Other Town 208 6[6] Lives Elsewhere In Germany 116 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere in East-Germany 96 9[9] Lives Elsewhere in West-Germany 303 10 [10] Lives Foreign Country 94 -1 [-1] No Answer 242 -2 [-2] Does Not Apply 3 -3 [-3] Answer Improbable 9386 -4 [-4] Inadmissible Multiple Answer 0 SOEP Survey Papers 1152 53 SOEP Innovation Sample (2020) bioparen -5 [-5] Not Contained In Questionnaire 0 -6 [-6] Questionnaire Version With Modified Filtering 0 The information on the residency of the parents stems from the Youth and Biography Questionnaires as well as from the Personal Questionnaire and is being deliverd every five years. The information from the P-files have a higher priority. For more details see also the information on VAORTAKT / MAORTAKT. vaort16 – Residence Of Mother 2016 0[0] Has Died 1378 1[1] Lives In Same HH 796 2[2] Lives In Same Housing 25 3[3] Lives Neighborhood 44 4[4] Lives Same Town 327 5[5] Lives Other Town 183 6[6] Lives Elsewhere In Germany 99 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere E Germany 72 9[9] Lives Elsewhere W Germany 244 10 [10] Lives Foreign Country 107 -1 [-1] No Answer 2346 -2 [-2] Does Not Apply 0 -3 [-3] Answer Improbable 1427 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 5447 -6 [-6] Questionnaire Version With Modified Filtering 0 See description of MAORT11. maort16 – Residence Of Father 2016 0[0] Has Died 1100 1[1] Lives In Same HH 1069 2[2] Lives In Same Housing 40 3[3] Lives Neighborhood 65 4[4] Lives Same Town 476 5[5] Lives Other Town 208 6[6] Lives Elsewhere In Germany 116 7[7] Lives Elsewhere 0 8[8] Lives Elsewhere E Germany 96 9[9] Lives Elsewhere W Germany 303 10 [10] Lives Foreign Country 94 -1 [-1] No Answer 2236 -2 [-2] Does Not Apply 1 -3 [-3] Answer Improbable 1427 -4 [-4] Inadmissible Multiple Answer 0 -5 [-5] Not Contained In Questionnaire 5264 -6 [-6] Questionnaire Version With Modified Filtering 0 SOEP Survey Papers 1152 54