SOEP-Core v34 - BIOIMMIG: Generated variables for foreign nationals, immigrants, and their descendants in the SOEP
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Schacht, Diana; Scherz, Antonia; Ulrich, Lisa Research Report SOEP-Core v34 - BIOIMMIG: Generated variables for foreign nationals, immigrants, and their descendants in the SOEP SOEP Survey Papers, No. 768 Provided in Cooperation with: German Institute for Economic Research (DIW Berlin) Suggested Citation: Schacht, Diana; Scherz, Antonia; Ulrich, Lisa (2019) : SOEP-Core v34 - BIOIMMIG: Generated variables for foreign nationals, immigrants, and their descendants in the SOEP, SOEP Survey Papers, No. 768, Deutsches Institut für Wirtschaftsforschung (DIW), Berlin This Version is available at: https://hdl.handle.net/10419/209673 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. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes. You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. 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/
768 SOEP Survey Papers Series D – Variable Descriptions and Coding SOEP — The German Socio-Economic Panel at DIW Berlin 2019 SOEP-Core v34 – BIOIMMIG: Generated variables for foreign nationals, immigrants, and their descendants in the SOEP Diana Schacht, Antonia Scherz, Lisa Ulrich, and SOEP Group
Running since 1984, the German Socio-Economic Panel study (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 Dr. David Richter, DIW Berlin Prof. Dr. Carsten Schröder, DIW Berlin and Freie Universität Berlin Prof. Dr. Jürgen Schupp, DIW Berlin and Freie Universität Berlin Dr. Sabine Zinn, DIW Berlin Please cite this paper as follows: Diana Schacht, Antonia Scherz, Lisa Ulrich, and SOEP Group. 2019. SOEP-Core v34 – BIOIMMIG: Generated variables for foreign nationals, immigrants, and their descendants in the SOEP. SOEP Survey Papers 768: Series D – Variable Descriptions and Coding. Berlin: DIW Berlin/SOEP This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. © 2019 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-Core v34 – BIOIMMIG: Generated variables for foreign nationals, immigrants, and their descendants in the SOEP Diana Schacht, Antonia Scherz, Lisa Ulrich, and SOEP Group 2019 The file bioimmig is part of a collection, which is released with doi:10.5684/soep.v34.
SOEP-Core (v34) bioimmig (v34) Contents 1 Introduction Bioimmig Data 4 Sources used to generate the BIOIMMIG dataset .................. 6 2 Updating the BIOIMMIG dataset 7 Updating the yearly information collected ...................... 7 Missing values ..................................... 8 Using this File ..................................... 8 3 Variables, Values and Sources in File BIOIMMIG 9 biimgrp – BI: Immigration Group .......................... 9 biresper – BI: Residence Status ............................ 11 bicamp – BI: Refugee Residence Y,N ......................... 12 bicampw – BI: Refugee Residence: Weeks ...................... 14 bicampm – BI: Refugee Residence: Months ..................... 15 biwfam – BI: Already Had Family In Country .................... 16 bifamc – BI: Contacts With Family In Germany ................... 18 bifamcl – BI: Moved To Same City,Town As Family ................. 19 birbetr – BI: Reason Migrate: Better .......................... 20 birmoney – BI: Reason Migrate: Money ....................... 21 birfree – BI: Reason Migrate: Freedom ........................ 22 birfam – BI: Reason Migrate: Family ......................... 22 birpoor – BI: Reason Migrate: Poor .......................... 23 birwar – BI: Reason Migrate: War ........................... 24 birjust – BI: Reason Migrate: Just So ......................... 25 birothr – BI: Reason Migrate: Other .......................... 26 biexpr – BI: Expectations In Germany ........................ 27 biexprlv – BI: Expectations: Find Apt ......................... 28 biexprac – BI: Expectations: Accepted by Coworker ................. 29 biexpran – BI: Expectations: Accepted by Neighbor ................. 30 birelh – BI: Family Abroad ............................... 30 birelhp – BI: Family Abroad: Parents ......................... 31 birelhgp – BI: Family Abroad: Grandparents ..................... 32 birelhc – BI: Family Abroad: Children ........................ 33 birelhbs – BI: Family Abroad: Brother,Sister ..................... 34 birelhdr – BI: Family Abroad: Distant Relatives ................... 34 birelhsp – BI: Family Abroad: Spouse, Partner .................... 35 birelhfr – BI: Family Abroad: Friends ......................... 36 birelhmi – BI: Persons Abroad Bring To Germany .................. 37 birelhs2 – BI: Spouse In Germany .......................... 37 birelhc2 – BI: Underage Children Not In Germany ................. 38 bigoback – BI: Go Back Home ............................. 39 bistay – BI: Desire To Stay In Germany ........................ 40 bistayy – BI: Years Desired To Stay In Germany ................... 41 biscger – BI: Attended School In Germany ...................... 42 biscgrad – BI: Which Grade, Year In German School ................ 44 biscgerc – BI: Attended Special Foreigner Prep Class ................ 45 biscgc – BI: Also German Pupils In Class ...................... 46 biscgcf – BI: How Many Pupils Foreign ........................ 47 biscgcfn – BI: Mix Of Nationalities In Class ..................... 49 SOEP Survey Papers 768 2
SOEP-Core (v34) bioimmig (v34) bireason – Bi: Main Reason Immigration To Ger. (since 2014) ........... 49 hhnr – Original Household Number ......................... 50 hhnrakt – Current HH Number for SYEAR ..................... 51 persnr – Never Changing Person ID ......................... 52 syear – Year, Survey Year ................................ 52 hid – Current HH Number for SYEAR ........................ 53 cid – Original Household Number .......................... 53 pid – Never Changing Person ID ........................... 53 SOEP Survey Papers 768 3
SOEP-Core (v34) bioimmig (v34) 1 Introduction Bioimmig Data The variables contained in BIOIMMIG deal with questions related to the situation of immigrants and their descendants in Germany. These questions concern, for example, their reasons for immigrating to Germany, their living conditions upon arrival, their plans to return to the country of origin, and whether they have relatives in the country of origin. The dataset originally contained information collected with the biography questionnaire in wave M (1996) and its later versions. In 2014 (BE), it was expanded by the new variable BIREASON. The data available in this file are longitudinal. That is to say, the same variable name refers to different time periods, which can be differentiated by the variable SYEAR ranging from 1984 to 2017. Thus, for every respondent included in the dataset, there are as many person-years as the number of years in which the respondent completed interviews. The unit of observation is therefore person-years. The sample size of the dataset is defined using the following criteria: • First, the dataset includes only person-year combinations for those years in which SOEP respondents completed a questionnaire ($NETTO). This refers not only to the personal and youth questionnaires but also to the biography and gap questionnaires ($LUECKE). In other words, at least one of these interviews had to be realized in a given year, so that the person-year combination was included in the dataset. At the same time, the dataset excludes person-year-observations from children and individuals who were not part of a SOEP household in a given year (for more information, see the PPFAD documentation on the current wave survey status $NETTO). • Second, all available information related to the BIOIMMIG variables is collected and assigned to the person-year observations. Thereafter, all persons without valid information on any BIOIMMIG variable were excluded from the dataset. • Third, all respondents whose only valid information was on the percentage of foreigners in class (BISCGCF) were deleted from the dataset. Most information in the BIOIMMIG dataset comes from foreigner-specific questions or questionnaires, while information on BISCGCF comes from a question given to all SOEP participants aged 16 to 17 ($JUGEND) and those who completed a general biography questionnaire (BIOLELA and $LELA). Therefore, if the only valid information in the BIOIMMIG dataset was on the variable BISCGCF, it can be assumed that the person does not have a migration background. • Forth, all respondents who mentioned to be east German were excluded. This corresponds to value 1 on the variable (BIIMGRP). Ultimately, this leaves a sample size of 188,900 person-years and 36,077 individuals in the BIOIMMIG dataset (see Table 1). However, the BIOIMMIG sample cannot be equated with the overall population of immigrants and their descendants in the SOEP, since the BIOIMMIG dataset only includes respondents who gave information on one or more of the BIOIMMIG variables. Research on respondents with a direct or indirect migration background should therefore include a careful check of the MIGBACK variable in PPFAD to determine whether and to what extent the target population is covered in the BIOIMMIG dataset. SOEP Survey Papers 768 4
SOEP-Core (v34) bioimmig (v34) Table 1: Sample size of the BIOIMMIG dataset Persons absolut Persons in % Person-years absolut Persons-years in % PPFAD: Original sample size 138,896 100 % 4,722,464 100% Interview years: Sample after keeping only those years in which a questionnaire was completed based on $NETTO 94,118 68 % 660,207 14% BIOIMMIG information: Sample after excluding all those without valid information in any year of participation 70,297 51 % 411,683 9% BISCGCF: Sample after excluding all respondents whose only valid BIOIMMIG information is the share of foreigners in class 36,549 26% 197,002 4% BIIMGRP: Sample after excluding all east Germans 36,077 26% 188,900 4% Source: SOEP v34 In comparison to the BIOIMMIG dataset from 2016 (v33), the sample size of the BIOIMMIG dataset in 2017 (v34) has changed. Table 2 displays the number of person-years in both datasets. The vast majority (89%) of the person-years from the last BIOIMMIG dataset (v33) are still included in the latest BIOIMMIG dataset version (v34). However, about 20,161 cases are no longer included in the latest version (v34), and a slightly higher number of cases (22,635 person-years) are included in the latest BIOIMMIG dataset version (v34) for the first time. Table 2: Differences between the BIOIMMIG dataset from last year (v33) and this year (v34) (person-years) BIOIMMIG (v34) Included Excluded Total v34 Included 166,265 (89%, 88%) 20,161 (11%) 188,900 (100%) BIOIMMIG (v33) Excluded 22,635 (12%) - - Total v33 186,426 (100%) - - SOEP Survey Papers 768 5
SOEP-Core (v34) bioimmig (v34) Source: SOEP v34 Table 3 displays the reasons for these differences in the number of person-year observations between v33 and v34. On the one hand, the new sample restriction to exclude East Germans led to the exclusion of around 3,687 person-years in this BIOIMMIG version (v34). Furthermore, updates of the syntax led to the exclusion of 13,869 person-years. In v33, values on BISCGER were set by default on a positive value for the whole $JUGEND population, although these respondents included a high a share of respondents without a migration background. Additionally, around 1,700 person-years were excluded beacuse of an update of respondents’ survey status (NETTO) in PPFAD and 220 person-years turned out to be faked interviews. On the other hand, several reasons led to the inclusion of more than 22,635 person-years. Firstly, the sample size has increased as roughly 17,737 respondents completed an interview in 2017, adding new person-year combinations to the dataset. These cases include not only respondents who already gave interviews in previous years but also new respondents who entered the SOEP in 2017, for instance, through an additional refugee sample (M5). Secondly, correcting syntax errors led to the inclusion of around 2,732 additional observations on (BISCGER), (BIIMGRP) and (BIRELHC2). Table 3: Reasons for the differences between the BIOIMMIG dataset from last year (v33) and this year (v34) Persons Person-years Included 2016, but not in 2017 6,286 100% 20,161 100% Excluding east Germans in 2017 275 4,4% 3,687 18,29% Cases from $JUGEND (BISCGER) 4,152 66% 13,869 68,79% Due to update of survey status (NETTO) 1,545 24,7% 1,700 8,43% Due to fake interviews 220 3,5% 220 8,43% Unexplained 95 1,5% 685 3,08% Included in 2017, but not 2016 18,421 100% 22,635 100% Successful re-interviewed respondents in 2017 10,560 57,32% 10,560 46,65% First-wave respondents in 2017 7,036 38,2% 7,177 31,71% Syntax correction (BISCGER, BIIMGRP, BIRELHC2) 430 2% 2,732 12% Unexplained 395 2,1% 2,165 10% Source: SOEP v34 Sources used to generate the BIOIMMIG dataset Most of the information in the BIOIMMIG dataset comes from the BIOLELA and $LELA (from wave M on) datasets, which were collected with the biography questionnaires. Additionally, starting in 2000 (wave Q), information from the $JUGEND datasets, which contain similar information to $LELA for 16- and 17-year-olds were incorporated into the BIOIMMIG dataset. In any given year, a person could complete either a youth or a biography questionnaire. Thus, information is available in either the $JUGEND or the $LELA dataset but never in both. If a respondent also replied to other questions relevant to the BIOIMMIG variables in the foreigner-specific questions in $PAUSL from wave A to L or in the foreigner-specific questions in $P from wave M onwards, the information from the personal questionnaires is added to the biographical data. Since 2013, the IAB-SOEP migration samples have been surveyed annually, comprising of a large number of interviews with immigrants living in SOEP Survey Papers 768 6
SOEP-Core (v34) bioimmig (v34) Values correspond to following Question: When you entered the country did you first live in a refugee camp or some other type of temporary housing for immigrants? Table 9: Variables used to generate Bicamp Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P090Z 1995 L BIOLELA P090Z 1996 M MLELA MB090Z 1997 N NLELA NB090Z 1998 O OLELA OB090Z 1999 P PLELA PB090Z 2000 Q QLELA QB090Z 2001 R RLELA RB090Z 2002 S SLELA SB0701 2003 T TLELA TB0701 2004 U ULELA UB0701 2005 V VLELA VB0701 2006 W WLELA WB0701 2007 X XLELA XB0701 2008 Y YLELA YB0701 2009 Z ZLELA ZB0701 2010 BA BALELA BAB0701 2011 BB BBLELA BBB0701 2012 BC BCLELA BCB0701 2013 BD BDLELA BDB0801 2014 BE $LELA n/a 2015 BF $LELA n/a 2016 BG BGLELA BGB08 2017 BH BHLELA BHB_08 BHB_93_Q56 2016 BG BGH BGHR01 2017 BH BHH BHH_02_Q66 2016 BG BGP_REFUGEES BGPR_L_52 2000 Q QJUGEND QJ5901 2001 Q RJUGEND RJ6101 2002 S SJUGEND SJ6101 2003 T TJUGEND TJ6101 2004 U UJUGEND UJ6101 2005 V VJUGEND VJ6101 Since 2006 $JUGEND n/a Source: SOEP v34 SOEP Survey Papers 768 13
SOEP-Core (v34) bioimmig (v34) bicampw – BI: Refugee Residence: Weeks 1 943 2 1447 3 651 4 628 5 149 6 354 7 4 8 139 10 53 12 44 14 12 15 6 16 3 26 3 32 16 36 13 40 12 41 12 -1 1273 -2 153937 -5 29013 Values correspond to following Question: Transitional accomodation: If so, for how many weeks? Table 10: Variables used to generate Bicampw Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P091Z 1995 L BIOLELA P091Z 1996 M MLELA MB091Z 1997 N NLELA NB091Z 1998 O OLELA OB091Z 1999 P PLELA PB091Z 2000 Q QLELA QB091Z 2001 R RLELA RB091Z 2002 S SLELA SB0702 2003 T TLELA TB0702 2004 U ULELA UB0702 2005 V VLELA VB0702 2006 W WLELA WB0702 2007 X XLELA XB0702 2008 Y YLELA YB0702 2009 Z ZLELA ZB0702 2010 BA BALELA BAB0702 SOEP Survey Papers 768 14
SOEP-Core (v34) bioimmig (v34) Year File Variable 2011 BB BBLELA BBB0702 2012 BC BCLELA BCB0702 2013 BD BDLELA BDB0802 Since 2014 $LELA n/a n/a 2000 Q QJUGEND QJ5902 2001 Q RJUGEND RJ6102 2002 S SJUGEND SJ6102 2003 T TJUGEND TJ6102 2004 U UJUGEND UJ6102 2005 V VJUGEND VJ6102 Since 2006 $JUGEND n/a Source: SOEP v34 bicampm – BI: Refugee Residence: Months 1 1069 2 811 3 546 4 253 5 349 6 953 7 340 8 335 9 267 10 270 11 177 12 1077 13 62 14 178 15 174 ... (19 rows omitted) 2177 37 56 38 13 40 1 42 54 48 69 54 1 60 16 66 2 72 26 77 3 90 6 99 18 -1 1464 -2 148932 SOEP Survey Papers 768 15
SOEP-Core (v34) bioimmig (v34) -5 29013 Values correspond to following Question: Transitional accomodation: If so, for how many months? Table 11: Variables used to generate Bicampm Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P092Z 1995 L BIOLELA P092Z 1996 M MLELA MB092Z 1997 N NLELA NB092Z 1998 O OLELA OB092Z 1999 P PLELA PB092Z 2000 Q QLELA QB092Z 2001 R RLELA RB092Z 2002 S SLELA SB0703 2003 T TLELA TB0703 2004 U ULELA UB0703 2005 V VLELA VB0703 2006 W WLELA WB0703 2007 X XLELA XB0703 2008 Y YLELA YB0703 2009 Z ZLELA ZB0703 2010 BA BALELA BAB0703 2011 BB BBLELA BBB0703 2012 BC BCLELA BCB0703 2013 BD BDLELA BDB0803 Since 2014 $LELA n/a 2000 Q QJUGEND QJ5903 2001 Q RJUGEND RJ6103 2002 S SJUGEND SJ6103 2003 T TJUGEND TJ6103 2004 U UJUGEND UJ6103 2005 V VJUGEND VJ6103 Since 2006 $JUGEND n/a Source: SOEP v34 biwfam – BI: Already Had Family In Country 1 23542 2 21253 -1 1565 -2 118646 -5 23706 SOEP Survey Papers 768 16
SOEP-Core (v34) bioimmig (v34) Values correspond to following Question: When you entered the country did you come as a family member or a person already living in Germany? Table 12: Variables used to generate Biwfam Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P100Z 1995 L BIOLELA P100Z 1996 M MLELA MB100Z 1997 N NLELA NB100Z 1998 O OLELA OB100Z 1999 P PLELA PB100Z 2000 Q QLELA QB100Z 2001 R RLELA RB100Z 2002 S SLELA SB08 2003 T TLELA TB08 2004 U ULELA UB08 2005 V VLELA VB08 2006 W WLELA WB08 2007 X XLELA XB08 2008 Y YLELA YB08 2009 Z ZLELA ZB08 2010 BA BALELA BAB08 2011 BB BBLELA BBB08 2012 BC BCLELA BCB08 2013 BD BDLELA BDB09 2014 BE $LELA n/a 2015 BF $LELA n/a 2016 BG BGLELA BGPM_L_09, BGPM_L0*_20 2017 BH BHLELA BHB_09_Q55 BHB_20_*_Q55 2013 BD BDP_MIG BDPM_L01_1801, BDPM_L*_2501 2014 BE BEP_MIG BEPM_L_08 2015 BF BFP_MIG BFPM_L_09, BFPM_L*_1401 2016 BG BGP_REFUGEES BGPR_L_3701 2000 Q QJUGEND QJ60 2001 Q RJUGEND RJ62 2002 S SJUGEND SJ62 2003 T TJUGEND TJ62 2004 U UJUGEND UJ62 2005 V VJUGEND VJ62 2006- 2015 $JUGEND n/a Source: SOEP v34 SOEP Survey Papers 768 17
SOEP-Core (v34) bioimmig (v34) bifamc – BI: Contacts With Family In Germany ?At your arrival, did you have any support of relatives or acquaintances who already lived in Germany? // Yes, by relatives (from: soep-core/soep-core-2016-ll/10:lzugunt1[4321]) ?When you moved to Germany, did you have the help of any relatives or friends who already lived in Germany? // Yes, from relatives (from: soep-core/soep-core-2016-pb-m12-erst/ 26:lzugunt1[8460]) ?Did any relatives or acquaintances who already lived in Germany help you move to Germany? // Yes, relatives (from: soep-core/soep-core-2016-pb-m34/38:lzugunt1[12237]) 1 8116 2 6647 -1 1386 -2 141446 -5 31117 Values correspond to following Question: Did you have any contacts to relatives or friends in Germany before you entered the country? Table 13: Variables used to generate Bifamc Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P110Z 1995 L BIOLELA P110Z 1996 M MLELA MB110Z 1997 N NLELA NB110Z 1998 O OLELA OB110Z 1999 P PLELA PB110Z 2000 Q QLELA QB110Z 2001 R RLELA RB110Z 2002 S SLELA SB09 2003 T TLELA TB09 2004 U ULELA UB09 2005 V VLELA VB09 2006 W WLELA WB09 2007 X XLELA XB09 2008 Y YLELA YB09 2009 Z ZLELA ZB09 2010 BA BALELA BAB09 2011 BB BBLELA BBB09 2012 BC BCLELA BCB09 2013 BD BDLELA BDB10 2014 BE $LELA n/a 2015 BF $LELA n/a 2016 BG BGLELA BGB1001, BGB1002 2017 BH BHLELA BHB_10_01, BHB_10_02 2000 Q QJUGEND QJ61 2001 Q RJUGEND RJ63 SOEP Survey Papers 768 18
SOEP-Core (v34) bioimmig (v34) Year File Variable 2002 S SJUGEND SJ63 2003 T TJUGEND TJ63 2004 U UJUGEND UJ63 2005 V VJUGEND VJ63 Since 2006 $JUGEND n/a Source: SOEP v34 bifamcl – BI: Moved To Same City,Town As Family 1 16528 2 5114 -1 1428 -2 122175 -5 43467 Values correspond to following Question: Did you move to the area in Germany where these relatives or friends lived? Table 14: Variables used to generate Bifamcl Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P120Z 1995 L BIOLELA P120Z 1996 M MLELA MB120Z 1997 N NLELA NB120Z 1998 O OLELA OB120Z 1999 P PLELA PB120Z 2000 Q QLELA QB120Z 2001 R RLELA RB120Z 2002 S SLELA SB10 2003 T TLELA TB10 2004 U ULELA UB10 2005 V VLELA VB10 2006 W WLELA WB10 2007 X XLELA XB10 2008 Y YLELA YB10 2009 Z ZLELA ZB10 2010 BA BALELA BAB10 2011 BB BBLELA BBB10 2012 BC BCLELA BCB10 2013 BD BDLELA BDB11 2014 BE $LELA n/a 2015 BF $LELA n/a SOEP Survey Papers 768 19
SOEP-Core (v34) bioimmig (v34) Year File Variable 2016 BG BGLELA BGPM_L_29 2017 BH BHLELA BHB_29_Q55 2000 Q QJUGEND QJ62 2001 Q RJUGEND RJ64 2002 S SJUGEND SJ64 2003 T TJUGEND TJ64 2004 U UJUGEND UJ64 2005 V VJUGEND VJ64 Since 2006 $JUGEND n/a Source: SOEP v34 birbetr – BI: Reason Migrate: Better 1 6521 -1 1405 -2 151773 -5 29013 Values correspond to following Question: There are many possible reasons for moving to Germany. Which of reasons listed here played a part in your decision? Table 15: Variables used to generate Birbetr Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P151Z 1995 L BIOLELA P151Z 1996 M MLELA MB151Z 1997 N NLELA NB151Z 1998 O OLELA OB151Z 1999 P PLELA PB151Z 2000 Q QLELA QB151Z 2001 R RLELA RB151Z 2002 S SLELA SB1401 2003 T TLELA TB1401 2004 U ULELA UB1401 2005 V VLELA VB1401 2006 W WLELA WB1401 2007 X XLELA XB401 2008 Y YLELA YB401 2009 Z ZLELA ZB401 2010 BA BALELA BAB401 2011 BB BBLELA BBB401 SOEP Survey Papers 768 20
SOEP-Core (v34) bioimmig (v34) Year File Variable 2012 BC BCLELA BCB401 2013 BD BDLELA BDB1501 Since 2014 $LELA n/a Source: SOEP v34 birmoney – BI: Reason Migrate: Money 1 3667 -1 1357 -2 154675 -5 29013 Values correspond to following Question: There are many possible reasons for moving to Germany. Which of reasons listed here played a part in your decision? I wanted to work and earn money in Germany to support my family and save money. Table 16: Variables used to generate Birmoney Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P152Z 1995 L BIOLELA P152Z 1996 M MLELA MB152Z 1997 N NLELA NB152Z 1998 O OLELA OB152Z 1999 P PLELA PB152Z 2000 Q QLELA QB152Z 2001 R RLELA RB152Z 2002 S SLELA SB1402 2003 T TLELA TB1402 2004 U ULELA UB1402 2005 V VLELA VB1402 2006 W WLELA WB1402 2007 X XLELA XB402 2008 Y YLELA YB402 2009 Z ZLELA ZB402 2010 BA BALELA BAB402 2011 BB BBLELA BBB402 2012 BC BCLELA BCB402 2013 BD BDLELA BDB1502 Since 2014 $LELA n/a SOEP Survey Papers 768 21
SOEP-Core (v34) bioimmig (v34) Source: SOEP v34 birfree – BI: Reason Migrate: Freedom 1 5679 -1 1257 -2 152763 -5 29013 Values correspond to following Question: There are many possible reasons for moving to Germany. Which of reasons listed here played a part in your decision? I wanted freedom. Table 17: Variables used to generate Birfree Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P153Z 1995 L BIOLELA P153Z 1996 M MLELA MB153Z 1997 N NLELA NB153Z 1998 O OLELA OB153Z 1999 P PLELA PB153Z 2000 Q QLELA QB153Z 2001 R RLELA RB153Z 2002 S SLELA SB1403 2003 T TLELA TB1403 2004 U ULELA UB1403 2005 V VLELA VB1403 2006 W WLELA WB1403 2007 X XLELA XB403 2008 Y YLELA YB403 2009 Z ZLELA ZB403 2010 BA BALELA BAB403 2011 BB BBLELA BBB403 2012 BC BCLELA BCB403 2013 BD BDLELA BDB1503 Since 2014 $LELA n/a Source: SOEP v34 birfam – BI: Reason Migrate: Family 1 10116 -1 1256 -2 148327 SOEP Survey Papers 768 22
SOEP-Core (v34) bioimmig (v34) Source: SOEP v34 biexprac – BI: Expectations: Accepted by Coworker 1 3043 2 7950 3 4976 4 7595 -1 2632 -2 133503 -5 29013 Values correspond to following Question: Which areas were easier or harder than you thought? To be accepted by coworkers. Table 26: Variables used to generate Biexprac Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P172Z 1995 L BIOLELA P172Z 1996 M MLELA MB172Z 1997 N NLELA NB172Z 1998 O OLELA OB172Z 1999 P PLELA PB172Z 2000 Q QLELA QB172Z 2001 R RLELA RB172Z 2002 S SLELA SB1602 2003 T TLELA TB1602 2004 U ULELA UB1503 2005 V VLELA VB1503 2006 W WLELA WB1503 2007 X XLELA XB1503 2008 Y YLELA YB1503 2009 Z ZLELA ZB1503 2010 BA BALELA BAB1503 2011 BB BBLELA BBB1503 2012 BC BCLELA BCB1503 2013 BD BDLELA BDB1702 Since 2014 $LELA n/a Source: SOEP v34 SOEP Survey Papers 768 29
SOEP-Core (v34) bioimmig (v34) biexpran – BI: Expectations: Accepted by Neighbor 1 3413 2 10460 3 5510 4 2680 -1 2368 -2 135268 -5 29013 Values correspond to following Question: Which areas were easier or harder than you thought? Being accepted by neighbors. Table 27: Variables used to generate Biexpran Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P173Z 1995 L BIOLELA P173Z 1996 M MLELA MB173Z 1997 N NLELA NB173Z 1998 O OLELA OB173Z 1999 P PLELA PB173Z 2000 Q QLELA QB173Z 2001 R RLELA RB173Z 2002 S SLELA SB1603 2003 T TLELA TB1603 2004 U ULELA UB1504 2005 V VLELA VB1504 2006 W WLELA WB1504 2007 X XLELA XB1504 2008 Y YLELA YB1504 2009 Z ZLELA ZB1504 2010 BA BALELA BAB1504 2011 BB BBLELA BBB1504 2012 BC BCLELA BCB1504 2013 BD BDLELA BDB1703 Since 2014 $LELA n/a Source: SOEP v34 birelh – BI: Family Abroad 1 7501 2 1822 SOEP Survey Papers 768 30
SOEP-Core (v34) bioimmig (v34) -1 337 -2 179052 Values correspond to following Question: Do you have family members or close friends the country you (or your family) come from? Table 28: Variables used to generate Birelh Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P18Z 1995 L BIOLELA P18Z 1996 M MLELA MB18Z 1997 N NLELA NB18Z 1998 O OLELA OB18Z 1999 P PLELA PB18Z 2000 Q QLELA QB18Z Since 2001 $LELA n/a 2000 Q QJUGEND QJ66 Since 2001 $JUGEND n/a Source: SOEP v34 birelhp – BI: Family Abroad: Parents 1 37407 -1 786 -2 128632 -5 21887 Values correspond to following Question: Friends/family in country of origin: Who are they? Parents? Table 29: Variables used to generate Birelhp Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P191Z 1995 L BIOLELA P191Z 1996 M MLELA MB191Z 1997 N NLELA NB191Z 1998 O OLELA OB191Z 1999 P PLELA PB191Z 2000 Q QLELA QB191Z SOEP Survey Papers 768 31
SOEP-Core (v34) bioimmig (v34) Year File Variable 2001 R RLELA RB0703V, RB0705M 2002 S SLELA SB2101, SB2102 2003 T TLELA TB2101, TB2102 2004 U ULELA UB2101, UB2102 2005 V VLELA VB2101, VB2102 2006 W WLELA WB2101, WB2102 2007 X XLELA XB2101, XB2102 2008 Y YLELA YB2101 , YB2102 2009 Z ZLELA ZB2101, ZB2102 2010 BA BALELA BAB2101, BAB2102 2011 BB BBLELA BBB22V01, BBB22M01 2012 BC BCLELA BCB2201, BCB2202 2013 BD BDLELA BDB2301, BDB2302 2014 BE BELELA BEB2701, BEB2702 2015 BF BFLELA BFB2701, BFB2702 2016 BG BGLELA BGB2702, BGB2701, 2017 BH BHLELA BHB_27_01, BHB_27_02 BHB_504_Q57, BHB_511_Q57 2016 BG BGP BGP16904, BGP15304B, BGP15303B 2017 BH BHP BHP_157_04, BHP_447_01_Q57 2013 BD BDP_MIG BDPML_L_5901, BDPML_L_5902 2014 BE BEP_MIG BEPM_L_3501, BEPM_L_3502 2015 BF BFP_MIG BFPM_L_11101, BFPM_L_11102 2016 BG BGP_REFUGEES BGPR_L_435, BGPR_L_437, BGPR44802, BGPR44803 2000 Q QJUGEND QJ6701 2001 - 2015 $JUGEND n/a 2016 BG BGJUGEND BGJ8401 BGJ8402 2017 BH BHJUGEND BHJ_84_01, BHJ_84_02 Source: SOEP v34 birelhgp – BI: Family Abroad: Grandparents 1 7163 -1 1271 -2 173183 -5 7095 Values correspond to following Question: Friends/family in country of origin: Who are they? Grandparents? Table 30: Variables used to generate Birelhgp Year File Variable 1984-93 A-J BIOLELA n/a SOEP Survey Papers 768 32
SOEP-Core (v34) bioimmig (v34) Year File Variable 1994 K BIOLELA P192Z 1995 L BIOLELA P192Z 1996 M MLELA MB192Z 1997 N NLELA NB192Z 1998 O OLELA OB192Z 1999 P PLELA PB192Z 2000 Q QLELA QB192Z 2001-2015 $LELA n/a 2016 BG BGLELA BGB2702, BGB2701 2017 BH BHLELA n/a 2000 Q QJUGEND QJ6702 Since 2001 $JUGEND n/a Source: SOEP v34 birelhc – BI: Family Abroad: Children 1 7821 -1 1224 -2 123036 -5 56631 Values correspond to following Question: Friends/family in country of origin: Who are they? Children? Table 31: Variables used to generate Birelhc Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P193Z 1995 L BIOLELA P193Z 1996 M MLELA MB193Z 1997 N NLELA NB193Z 1998 O OLELA OB193Z 1999 P PLELA PB193Z 2000 Q QLELA QB193Z 2001-2016 $LELA n/a 2017 BH BHLELA BHB_535_Q56, BHB_539_Q56, BHB_543_Q56 BHB_547_Q56, BHB_551_Q56, BHB_555_Q56 BHB_559_Q56, BHB_563_Q56 2016 BG BGP BGP16908, BGP15308B, BGP15307B 2017 BH BHP BHP_157_08 , BHP_449_01_Q57 2016 BG BGP_REFUGEES BGPR_L_405, BGPR_L_409, BGPR_L_413, BGPR_L_417, BGPR_L_421, BGPR_L_425, BGPR_L_429, BGPR_L_433, BGPR45002 SOEP Survey Papers 768 33
SOEP-Core (v34) bioimmig (v34) Year File Variable 2000 Q QJUGEND QJ6703 Since 2001 $JUGEND n/a Source: SOEP v34 birelhbs – BI: Family Abroad: Brother,Sister 1 29459 -1 1213 -2 151902 -5 6138 Values correspond to following Question: Friends/family in country of origin: Who are they? Brother/Sister? Table 32: Variables used to generate Birelhbs Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P194Z 1995 L BIOLELA P194Z 1996 M MLELA MB194Z 1997 N NLELA NB194Z 1998 O OLELA OB194Z 1999 P PLELA PB194Z 2000 Q QLELA QB194Z 2001-2016 $LELA n/a 2017 BH BHLELA BHB_527_04_Q56 2016 BG BGP BGP15309B, BGP15310B 2016 BG BGP_REFUGEES BGPR_L_39804 2000 Q QJUGEND QJ6704 Since 2001 $JUGEND n/a Source: SOEP v34 birelhdr – BI: Family Abroad: Distant Relatives 1 30879 -1 1116 -2 112493 -5 44224 Values correspond to following Question: SOEP Survey Papers 768 34
SOEP-Core (v34) bioimmig (v34) Friends/family in country of origin: Who are they? Distant relatives? Table 33: Variables used to generate Birelhdr Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P195Z 1995 L BIOLELA P195Z 1996 M MLELA MB195Z 1997 N NLELA NB195Z 1998 O OLELA OB195Z 1999 P PLELA PB195Z 2000 Q QLELA QB195Z 2001-2015 $LELA n/a 2016 BG BGLELA BGPR_L_44104 2017 BH BHLELA BHB_571_04_Q56 2016 BG BGP BGP16916, BGP15315B, BGP15316B, BGP15314B 2017 BH BHP BHP_157_16, BHP_453_01_Q57 2016 BG BGP_REFUGEES BGPR_L_44104, BGPR45402 2000 Q QJUGEND QJ6705 Since 2001 $JUGEND n/a Source: SOEP v34 birelhsp – BI: Family Abroad: Spouse, Partner 1 1515 -1 1189 -2 120096 -5 65912 Values correspond to following Question: Friends/family in country of origin: Who are they? Spouse/fiance? Table 34: Variables used to generate Birelhsp Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P196Z 1995 L BIOLELA P196Z 1996 M MLELA MB196Z 1997 N NLELA NB196Z 1998 O OLELA OB196Z SOEP Survey Papers 768 35
SOEP-Core (v34) bioimmig (v34) Year File Variable 1999 P PLELA PB196Z 2000 Q QLELA QB196Z Since 2001 $LELA n/a 2013 BD BDP_MIG BDPM_P_157, BDPM_P_15301, BDPM_P_154 2014 BE BEP_MIG BEPM_P_92, BEPM_LA_8801, BEPM_P_90 2015 BF BFP_MIG BFP_P_91, BFP_1a_16801, BFP_P_85 2016 BG BGP_REFUGEES BGPR391, BGPR394, BGPR4520 2016 BG BGP BGP16912, BGP15301B 2017 BH BHP BHP_157_12 2000 Q QJUGEND QJ6706 Since 2001 $JUGEND n/a Source: SOEP v34 birelhfr – BI: Family Abroad: Friends 1 6067 -1 1215 -2 171320 -5 10110 Values correspond to following Question: Friends/family in country of origin: Who are they? Friends? Table 35: Variables used to generate Birelhfr Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P197Z 1995 L BIOLELA P197Z 1996 M MLELA MB197Z 1997 N NLELA NB197Z 1998 O OLELA OB197Z 1999 P PLELA PB197Z 2000 Q QLELA QB197Z Since 2001 $LELA n/a 2016 BG BGP BGP16920 2017 BH BHP BHP_157_20 2000 Q QJUGEND QJ6707 Since 2001 $JUGEND n/a Source: SOEP v34 SOEP Survey Papers 768 36
SOEP-Core (v34) bioimmig (v34) birelhmi – BI: Persons Abroad Bring To Germany 1 3326 2 2841 -1 1289 -2 118273 -5 62983 Values correspond to following Question: Persons in country of origin: Of those mentioned above, do some want to come to Germany or would you like to bring them to Germany? Table 36: Variables used to generate Birelhmi Year File Variable 1984-93 A-J BIOLELA n/a 1994 K BIOLELA P200Z 1995 L BIOLELA P200Z 1996 M MLELA MB200Z 1997 N NLELA NB200Z 1998 O OLELA OB200Z 1999 P PLELA PB200Z 2000 Q QLELA QB200Z 2001-2016 $LELA n/a 2017 BH BHLELA BHB_536_Q56, BHB_540_Q56, BHB_544_Q56, BHB_548_Q56, BHB_552_Q56, BHB_556_Q56, BHB_560_Q56, BHB_564_Q56 2016 BG BGP_REFUGEES BGPR_L_406, BGPR_L_410, BGPR_L_414, BGPR_L_418, BGPR_L_422, BGPR_L_426, BGPR_L_430, BGPR_L_434, BGPR392, BGPR395 2017 BH BHP BHP_519_Q56, BHP_524_Q56 2000 Q QJUGEND QJ68 Since 2001 $JUGEND n/a Source: SOEP v34 birelhs2 – BI: Spouse In Germany 1 42699 2 1524 3 1965 -1 22 -2 62837 -3 2 -5 79663 SOEP Survey Papers 768 37
SOEP-Core (v34) bioimmig (v34) Values correspond to following Question: Does your spouse live in Germany? Table 37: Variables used to generate Birelhs2 Year File Variable 1984 A APAUSL AP58A02 1985 B BPAUSL n/a 1986 C CPAUSL CP90A01 1987 D DPAUSL DP92A01 1988 E EPAUSL EP85A01 1989 F FPAUSL FP102A01 1990 G GPAUSL GP102A01 1991 H HPAUSL HP102A01 1992 I IPAUSL IP102A01 1993 J JPAUSL JP102A01 1994 K KPAUSL KP102A01 1995 L LPAUSL LP110A01 1996-2015 $P n/a 2016 BG BGP_REFUGEES BGPR391, BGPR394 2017 BH BHP BHP_437_Q57, BHP_440_Q57 Source: SOEP v34 birelhc2 – BI: Underage Children Not In Germany 1 15050 2 46128 -1 94 -2 127428 -3 12 Values correspond to following Question: Do you have children under 18 who do not live in Germany? Table 38: Variables used to generate Birelhc2 Year File Variable 1984 A APAUSL AP66A01 1985 B BPAUSL BP95A01 1986 C CPAUSL CP86A01 1987 D DPAUSL DP88A01 1988 E EPAUSL n/a 1989 F FPAUSL FP98A01 SOEP Survey Papers 768 38
SOEP-Core (v34) bioimmig (v34) Year File Variable 1995 L BIOLELA P290Z 1996 M MLELA MB290Z 1997 N NLELA NB290Z 1998 O OLELA OB290Z 1999 P PLELA PB290Z 2000 Q QLELA QB290Z 2001 R RLELA RB290Z 2002 S SLELA SB12 2003 T TLELA TB12 2004 U ULELA UB12 2005 V VLELA VB12 2006 W WLELA WB12 2007 X XLELA XB12 2008 Y YLELA YB12 2009 Z ZLELA ZB12 2010 BA BALELA BAB12 2011 BB BBLELA BBB12 2012 BC BCLELA BCB12 2013 BD BDLELA BDB13 Since 2014 $LELA n/a 2000 Q QJUGEND QJ64 2001 R RJUGEND RJ6601 2002 S SJUGEND SJ6601 2003 T TJUGEND TJ56601 2004 U UJUGEND UJ6601 2005 V VJUGEND VJ6601 Since 2006 $JUGEND n/a Source: SOEP v34 biscgerc – BI: Attended Special Foreigner Prep Class 1 4467 2 12310 -1 1856 -2 141066 -5 29013 Values correspond to following Question: Did you attend a special preparatory class for foreigners in Germany ahead of time? Table 44: Variables used to generate Biscgerc Year File Variable 1984 A APAUSL n/a SOEP Survey Papers 768 45
SOEP-Core (v34) bioimmig (v34) Year File Variable 1985 B BPAUSL n/a 1986 C CPAUSL n/a 1987 D DPAUSL n/a 1988 E EPAUSL n/a 1989 F FPAUSL FP109A 1990 G GPAUSL GP109A 1991 H HPAUSL HP109A 1992 I IPAUSL IP109A 1993 J JPAUSL JP109A 1984-93 A-J BIOLELA B48A 1994 K BIOLELA P300Z 1995 L BIOLELA P300Z 1996 M MLELA MB48A 1997 N NLELA NB48A 1998 O OLELA OB48A 1999 P PLELA PB48A 2000 Q QLELA QB48A 2001 R RLELA RB48A 2002 S SLELA SB13 2003 T TLELA TB13 2004 U ULELA UB13 2005 V VLELA VB13 2006 W WLELA WB13 2007 X XLELA XB13 2008 Y YLELA YB13 2009 Z ZLELA ZB13 2010 BA BALELA BAB13 2011 BB BBLELA BBB13 2012 BC BCLELA BCB13 2013 BD BDLELA BDB14 Since 2014 $LELA n/a 2000 Q QJUGEND QJ65 2001 R RJUGEND RJ6602 2002 S SJUGEND SJ6602 2003 T TJUGEND TJ56602 2004 U UJUGEND UJ6602 2005 V VJUGEND VJ6602 Since 2006 $JUGEND n/a Source: SOEP v34 biscgc – BI: Also German Pupils In Class 1 5990 2 291 -1 1812 -2 180619 SOEP Survey Papers 768 46
SOEP-Core (v34) bioimmig (v34) Values correspond to following Question: Were there German students in your class in the last grade of school you attended? Table 45: Variables used to generate Biscgc Year File Variable 1984 A APAUSL n/a 1985 B BPAUSL n/a 1986 C CPAUSL n/a 1987 D DPAUSL n/a 1988 E EPAUSL n/a 1989 F FPAUSL FP110A01 1990 G GPAUSL GP110A01 1991 H HPAUSL HP110A01 1992 I IPAUSL IP110A01 1993 J JPAUSL JP110A01 1984-93 A-J BIOLELA B49A 1994 K BIOLELA B49A 1995 L BIOLELA B49A 1996 M MLELA MB49A 1997 N NLELA NB49A 1998 O OLELA OB49A 1999 P PLELA PB49A Since 2000 $LELA n/a Source: SOEP v34 biscgcf – BI: How Many Pupils Foreign ?If you think back to the last grade of school you attended: How many of your fellow students or their parents were not from Germany? (from: soep-core/soep-core-2016-ll/52:lsab10 [4355]) ?If you think back to the last grade of school you attended: How many of your fellow students or their parents were not from Germany? (from: soep-core/soep-core-2016-pb-m12- erst/147:lsab10[3766]) 1 5557 2 5201 3 6742 4 21872 5 16496 -1 2375 -2 112543 -5 17926 Values correspond to following Question: SOEP Survey Papers 768 47
SOEP-Core (v34) bioimmig (v34) How many of your fellow students were foreigners? Table 46: Variables used to generate Biscgcf Year File Variable 1984-88 A-E $PAUSL n/a 1989 F FPAUSL FP110A02 1990 G GPAUSL GP110A02 1991 H HPAUSL HP110A02 1992 I IPAUSL IP110A02 1993 J JPAUSL JP110A02 1984-93 A-J BIOLELA B50A 1994 K BIOLELA B50A 1995 L BIOLELA B50A 1996 M MLELA MB50A 1997 N NLELA NB50A 1998 O OLELA OB50A 1999 P PLELA PB50A 2000 Q QLELA QB50A 2001 R RLELA RB50A 2002 S SLELA SB43 2003 T TLELA TB43 2004 U ULELA UB43 2005 V VLELA VB43 2006 W WLELA WB43 2007 X XLELA XB43 2008 Y YLELA YB43 2009 Z ZLELA ZB43 2010 BA BALELA BAB43 2011 BB BBLELA BBB43 2012 BC BCLELA BCB43 2013 BD BDLELA BDB46 2014 BE BELELA BEB50 2015 BF BFLELA BFB52 2016 BG BGLELA BGB52 2017 BH BHLELA BHB_52 2013 BD BDP_MIG BDPM_L_75 2014 BE BEP_MIG BEPM_L_66 2015 BF BFP_MIG BFPM_L_143 2000 Q QJUGEND n/a 2001 R RJUGEND RJ43 2002 S SJUGEND SJ43 2003 T TJUGEND TJ543 2004 U UJUGEND UJ43 2005 V VJUGEND VJ43 2006 W WJUGEND VJ43 2007 X XJUGEND VJ43 2008 Y YJUGEND VJ43 2009 Z ZJUGEND VJ43 SOEP Survey Papers 768 48
SOEP-Core (v34) bioimmig (v34) Year File Variable 2010-2015 B$JUGEND B$J45 2016 BG BGJUGEND BGJ53 2017 BH BHJUGEND BHJ_53 Source: SOEP v34 biscgcfn – BI: Mix Of Nationalities In Class 1 194 2 92 -1 1771 -2 186655 Values correspond to following Question: Were there only children of your nationality in your class, or was there a mix of nationalities? Table 47: Variables used to generate Biscgcfn Year File Variable 1984-88 A-E $PAUSL n/a 1989 F FPAUSL FP110A03 1990 G GPAUSL GP110A03 1991 H HPAUSL HP110A03 1992 I IPAUSL IP110A03 1993 J JPAUSL JP110A03 1984-93 A-J BIOLELA B51A 1994 K BIOLELA B51A 1995 L BIOLELA B51A 1996 M MLELA MB51A 1997 N NLELA NB51A 1998 O OLELA OB51A 1999 P PLELA PB51A Since 2000 $LELA n/a Source: SOEP v34 bireason – Bi: Main Reason Immigration To Ger. (since 2014) ?Which of the following reasons was the main reason for you to come to Germany? (from: soep-core/soep-core-2016-ll/9:lzuggr[4320]) ?Which of the following was your main reason for moving to Germany? (from: soep-core/ soep-core-2016-pb-m12-erst/25:lzuggr[8459]) 1 3349 SOEP Survey Papers 768 49
SOEP-Core (v34) bioimmig (v34) 2 4252 3 2645 4 1171 5 813 6 6842 7 5800 -1 88 -2 161042 -5 2710 Values correspond to following Question: Which of the following was your main reason for moving to Germany? Table 48: Variables used to generate Bireason Year File Variable 2014 BE BEP_MIG BEPM_L_10001 2015 BF BFP_MIG BFPM_L_2501 2016 BG BGLELA BGB09 2017 BH BHLELA BHB_09_01 BHB_75_*_Q56, BHB_76_01_Q56 2016 BG BGP_REFUGEES BGPR_L_360* Source: SOEP v34 hhnr – Original Household Number 60 63 167 13 175 47 213 13 221 13 230 34 280 4 329 15 396 42 418 15 531 11 647 13 728 14 736 64 744 23 ... (19948 rows omitted) 188307 3923487 2 3923541 1 3923550 1 SOEP Survey Papers 768 50
SOEP-Core (v34) bioimmig (v34) 3923568 1 3923576 1 3923584 3 3923614 1 3923649 2 3923746 1 3923762 2 3923789 1 3923797 1 3923800 2 3923835 1 3923878 1 ID variable in wide format hhnrakt – Current HH Number for SYEAR 167 13 175 47 213 13 221 13 230 2 329 15 396 42 418 15 647 13 728 14 736 64 744 16 868 27 922 11 930 34 ... (22579 rows omitted) 188352 3923487 2 3923541 1 3923550 1 3923568 1 3923576 1 3923584 3 3923614 1 3923649 2 3923746 1 3923762 2 3923789 1 3923797 1 3923800 2 3923835 1 3923878 1 ID variable in wide format SOEP Survey Papers 768 51
SOEP-Core (v34) bioimmig (v34) persnr – Never Changing Person ID 1602 10 1603 3 1701 24 1704 23 2101 13 2202 13 2302 34 3201 10 3202 5 3901 21 3902 21 4101 15 6401 13 7201 14 7301 32 ... (35969 rows omitted) 188446 39235801 1 39235802 1 39235803 1 39236101 1 39236401 1 39236402 1 39237401 1 39237601 1 39237603 1 39237801 1 39237901 1 39238001 1 39238002 1 39238301 1 39238701 1 ID variable in wide format syear – Year, Survey Year 1984 3894 1985 3459 1986 3387 1987 3412 1988 3309 1989 3270 1990 3724 1991 3743 1992 3733 1993 3729 1994 3916 1995 4280 SOEP Survey Papers 768 52
SOEP-Core (v34) bioimmig (v34) 1996 4160 1997 4018 1998 3974 ... (4 rows omitted) 18914 2003 4747 2004 4636 2005 4473 2006 4568 2007 4281 2008 4026 2009 4067 2010 5860 2011 6414 2012 6455 2013 11423 2014 9947 2015 10787 2016 14144 2017 17962 Survey Year hid – Current HH Number for SYEAR 0 188712 ID variable in long format cid – Original Household Number 0 188712 ID variable in long format pid – Never Changing Person ID 0 188712 ID variable in long format SOEP Survey Papers 768 53