* Encoding: UTF-8. ****************************************************************************************** *******************BIBB/BAuA Erwerbstätigenbefragung 2018********************************* *************Codieren einer Variablen zur Unterscheidung von****************************** **********technologie- und wissensintensiven Wirtschaftszweigen*************************** **************aus der Klassifizierug der Wirtschaftszweige 2008*************************** ****************************************************************************************** ****************************************************************************************** *Herkunft: BIBB-FDZ. * IBM SPSS Statistics 25 Quelle: http://ec.europa.eu/eurostat/cache/metadata/Annexes/htec_esms_an3.pdf (Stand: 16.01.2020) ****************************************************************************************** ****************************************************************************************** *********************Recodieren der Variablen. * WZ2008=Wirtschaftszweig nach WZ 2008, 2-steller. RECODE WZ2008 (21 26 =1)(20 27 thru 30 =2)(19 22 thru 25 33 =3) (10 thru18 31 32=4)(50 51 58 thru 63 64 thru 66 69 thru 75 78 80 84 thru 93=5) (45 46 47 49 52 53 55 56 68 77 79 81 82 94 thru 96 97 thru 99 =6) into TI_KI. EXECUTE. if TI_KI>6 TI_KI=0. if WZ2008<10 TI_KI=0. if Wz2008=-1 TI_KI=-1. if missing(TI_KI) TI_KI=0. FORMATS TI_KI (f5.0). ****************************************************************************************** **************Labeln der Variablen . VALUE LABELS TI_KI -1 "Keine Angabe/Nicht zu vercoden" 0 "other" 1 "Manufacturing industries-High-technology" 2 "Manufacturing industries-Medium-high-technology" 3 "Manufacturing industries-Medium-low-technology" 4 "Manufacturing industries-Low-technology" 5 "Knowledge-intensive services (KIS)" 6 "Less knowledge-intensive services(LKIS)". VARIABLE LABELS TI_KI "technological intensity_knowledgeintensive services". EXECUTE. ******************************************************************************************************************************