// Wave 2 = 1 // Wave 5 = 2 // Wave 8 = 3 // Wave 11 = 4 // Wave 14 = 5 // Wave 17 = 6 // Wave 20 = 7 *** * TIME WITH CHILDCARE (A5) & HOUSEWORK (A4) * haus*, kinder* haus_p*, kinder_p* *** tab1 W2_Q37A4 W2_Q37A5 tab1 W5_Q46A4 W5_Q46A5 tab1 W8_Q37A4 W8_Q37A5 W8_Q38A1 W8_Q38A2 tab1 W11_Q48A4 W11_Q48A5 W11_Q49A1 W11_Q49A2 tab1 W14_Q39A4 W14_Q39A5 W14_Q40A1 W14_Q40A2 tab1 W17_Q39A4 W17_Q39A5 W17_Q40A1 W17_Q40A2 tab1 W20_Q42A4 W20_Q42A5 W20_Q43A1 W20_Q43A2 gen haus1=W2_Q37A4/3600 gen kinder1=W2_Q37A5/3600 gen haus2=W5_Q46A4/3600 gen kinder2=W5_Q46A5/3600 gen haus3=W8_Q37A4/3600 gen kinder3=W8_Q37A5/3600 gen haus_p3=W8_Q38A1/3600 // from wave 8 for partner as well gen kinder_p3=W8_Q38A2/3600 gen haus4=W11_Q48A4/3600 gen kinder4=W11_Q48A5/3600 gen haus_p4=W11_Q49A1/3600 gen kinder_p4=W11_Q49A2/3600 gen haus5=W14_Q39A4/3600 gen kinder5=W14_Q39A5/3600 gen haus_p5=W14_Q40A1/3600 gen kinder_p5=W14_Q40A2/3600 gen haus6=W17_Q39A4/3600 gen kinder6=W17_Q39A5/3600 gen haus_p6=W17_Q40A1/3600 gen kinder_p6=W17_Q40A2/3600 gen haus7=W20_Q42A4/3600 gen kinder7=W20_Q42A5/3600 gen haus_p7=W20_Q43A1/3600 gen kinder_p7=W20_Q43A2/3600 *** * DAILY EMPLOYMENT HOURS * stunden_tag* *** tab1 W2_Q10 W5_Q11 W8_Q11 W11_Q11 W14_Q11 W17_Q11 W20_Q11 // Employment status (Erwerbstaetigkeit aktuell) gen erwerb1=1 if W2_Q10>=4 & W2_Q10<=10 // erwerb=1 --> non-employed (unemployed, parental leave etc.) gen erwerb2=1 if W5_Q11>=4 & W5_Q11<=10 gen erwerb3=1 if W8_Q11>=4 & W8_Q11<=10 gen erwerb4=1 if W11_Q11>=4 & W11_Q11<=10 gen erwerb5=1 if W14_Q11>=4 & W14_Q11<=10 gen erwerb6=1 if W17_Q11>=4 & W17_Q11<=10 gen erwerb7=1 if W20_Q11>=4 & W20_Q11<=10 tab1 W2_Q52A1 W5_Q67A1 W8_Q55A1 W11_Q69A1 W14_Q70A1 W17_Q60A1 W20_Q64A1 // Work hours (Arbeitsstunden: Jetzt pro Woche) gen stunden1=W2_Q52A1 gen stunden2=W5_Q67A1 gen stunden3=W8_Q55A1 gen stunden4=W11_Q69A1 gen stunden5=W14_Q70A1 gen stunden6=W17_Q60A1 gen stunden7=W20_Q64A1 forvalues i=1/7 { replace stunden`i'=0 if erwerb`i'==1 // recode stunden=0 if non-employed gen stunden_tag`i'=stunden`i'/5 // stunden_tag = employment hours per weekday } **** DEMOGRAPHIC VARIABLES *** * AGE * age *** gen age=2020-SD_BIRTHYEAR *** * GENDER * gndr *** drop if SD_GENDER==99 // non-binary rename SD_GENDER gndr *** * KINDERZAHL (Number of children age 0-14) * kindnum *** drop if SD_HH_SIZE<=2 // DROP couples, single parents with 1 child etc. recode SD_HH_CHILD2 SD_HH_CHILD5 SD_HH_CHILD14 SD_HH_TEENS (.=0) if SD_HH_SIZE!=. // some zeros are coded as missing gen kindnum=SD_HH_CHILD2 + SD_HH_CHILD5 + SD_HH_CHILD14 // Number of children age 0-14 gen erwnum=SD_HH_ADULTS + SD_HH_TEENS // Check: Children age 15-17 + adults gen totalnum=kindnum+erwnum gen x=1 if totalnum!=SD_HH_SIZE drop if kindnum==0 // DROP households without children replace x=. if SD_HH_SIZE==6 & totalnum>=6 gen kindnum_var=kindnum replace kindnum_var=2 if kindnum==1 & x==1 drop if kindnum==. // DROP 35 cases (just 9 of them have info on childcare) * Check with variable "Persons in household: Children age 0-14" egen check=anycount(W5_Q10A2 W8_Q7A2 W11_Q10A2 W14_Q7A2), v(1) replace check=. if W5_Q10A2==. & W8_Q7A2==. & W11_Q10A2==. & W14_Q7A2==. egen kinder_sum=rowtotal(kinder1 kinder2 kinder3 kinder4 kinder5) replace kinder_sum=. if kinder1==. & kinder2==. & kinder3==. & kinder4==. & kinder5==. egen kinder_sum_p=rowtotal(kinder_p3 kinder_p4 kinder_p5) replace kinder_sum_p=. if kinder_p3==. & kinder_p4==. & kinder_p5==. drop if check==0 & kinder_sum==0 // DROP 8 cases that did not mention children in household & had 0 hours of childcare throughout all waves *** * Age of youngest child (0-5 years; 6-14 years) * youngest *** gen youngest=. replace youngest=2 if SD_HH_CHILD14>0 & SD_HH_CHILD14!=. replace youngest=1 if SD_HH_CHILD5>0 & SD_HH_CHILD5!=. replace youngest=1 if SD_HH_CHILD2>0 & SD_HH_CHILD2!=. lab def youngest 1 "0-5 Jahre" 2 "6-14 Jahre" lab val youngest youngest *** * PANELIST *** rename W2_PANELIST panel1 rename W5_PANELIST panel2 rename W8_PANELIST panel3 rename W11_PANELIST panel4 rename W14_PANELIST panel5 rename W17_PANELIST panel6 rename W20_PANELIST panel7 *** * EDUCATION * educ *** recode SD_EDU (1/4=1 "vocational (1-3b)") (5/6=2 "medium (3a)") (7/10=3 "high (4-6)") (99=.), gen(educ) // Partner's education not available drop if age<20 // n=8 drop if age>59 // n=8 drop if educ==. // n=11 *** * PARTNER *** browse SD_HH_PARTNER /* no partner info W2 */ W5_Q10A1 W8_Q7A1 W11_Q10A1 W14_Q7A1 W17_Q7A1 W20_Q7A1 SD_HH_ADULTS egen check_partner=anycount(W5_Q10A1 W8_Q7A1 W11_Q10A1 W14_Q7A1 W17_Q7A1 W20_Q7A1), v(0) // partner in all waves (5, 8, 11, 14, 17, 20 - no info on 2) - count if "not mentioned" egen check_partner2=anycount(W5_Q10A1 W8_Q7A1 W11_Q10A1 W14_Q7A1 W17_Q7A1 W20_Q7A1), v(1) // count if "mentioned" browse SD_HH_PARTNER /* no partner info W2 */ W5_Q10A1 W8_Q7A1 W11_Q10A1 W14_Q7A1 W17_Q7A1 W20_Q7A1 SD_HH_ADULTS check_partner check_partner2 panel* drop if check_partner2==0 & SD_HH_PARTNER==0 drop if check_partner2==0 & SD_HH_ADULTS==1 drop if check_partner2==0 & SD_HH_PARTNER==. drop if SD_HH_ADULTS==1 drop if W5_Q10A1==. & W8_Q7A1==. & W11_Q10A1==. & W14_Q7A1==. & kinder_p3==. & kinder_p4==. & kinder_p5==. tab check_partner drop if check_partner>1 // DROP all who did not mention a partner in more than 1 wave *** * EMPLOYMENT STATUS * erwerb* *** lab def erwerb 1 "nicht erwerbstätig" 2 "Teilzeit (1-29)" 3 "Vollzeit (30+)" forvalues i=1/7 { replace erwerb`i'=1 if stunden`i'==0 replace erwerb`i'=2 if stunden`i'>=1 & stunden`i'<=29 replace erwerb`i'=3 if stunden`i'>=30 & stunden`i'<=80 lab val erwerb`i' erwerb } *** * PARTNER'S EMPLOYMENT STATUS * stunden_tag_p*, erwerb_p* *** tab1 W8_Q38A3 W11_Q49A3 W14_Q40A3 W17_Q40A3 W20_Q43A3 // hours only available when info on time use (Zeit Partner(in): Bezahlte Arbeit (erwerbstaetig) (in Sek.)) gen stunden_tag_p3=W8_Q38A3/3600 // per weekday gen stunden_tag_p4=W11_Q49A3/3600 gen stunden_tag_p5=W14_Q40A3/3600 gen stunden_tag_p6=W17_Q40A3/3600 gen stunden_tag_p7=W20_Q43A3/3600 tab1 W8_Q12 W11_Q24 W14_Q12 W17_Q12 W20_Q12 // Erwerbstaetigkeit Partner(in): aktuell gen erwerb_p3=1 if W8_Q12>=4 & W8_Q12<=10 gen erwerb_p4=1 if W11_Q24>=4 & W11_Q24<=10 gen erwerb_p5=1 if W14_Q12>=4 & W14_Q12<=10 gen erwerb_p6=1 if W17_Q12>=4 & W17_Q12<=10 gen erwerb_p7=1 if W20_Q12>=4 & W20_Q12<=10 forvalues i=3/7 { replace stunden_tag_p`i'=0 if erwerb_p`i'==1 replace erwerb_p`i'=1 if stunden_tag_p`i'<0.2 // less than 1 hour per week replace erwerb_p`i'=2 if stunden_tag_p`i'>=0.2 & stunden_tag_p`i'<6 replace erwerb_p`i'=3 if stunden_tag_p`i'>=6 & stunden_tag_p`i'<=23 lab val erwerb_p`i' erwerb } *** * WORKING FROM HOME * home* *** tab1 W2_Q56A1 W5_Q71A1 W8_Q59A1 W11_Q73A1 W14_Q74A1 W17_Q64A1 W20_Q68A1 lab def home 1 "home office" 2 "kein home office" 3 "nicht erwerbstätig" rename W2_Q56A1 h1 rename W5_Q71A1 h2 rename W8_Q59A1 h3 rename W11_Q73A1 h4 rename W14_Q74A1 h5 rename W17_Q64A1 h6 rename W20_Q68A1 h7 forvalues i=1/7 { gen home`i'=1 if h`i'==1 // Home Office replace home`i'=2 if h`i'==0 & (erwerb`i'==2 | erwerb`i'==3) // constraint on being (not) employed replace home`i'=3 if erwerb`i'==1 lab val home`i' home } // no home office question for partner * WEIGHTS rename W2_WEIGHTD weight1 rename W5_WEIGHTD weight2 rename W8_WEIGHTD weight3 rename W11_WEIGHTD weight4 rename W14_WEIGHTD weight5 rename W17_WEIGHTD weight6 rename W20_WEIGHTD weight7 *** >12 hours childcare and housework recoded to 12 hours forvalues i=1/5 { // check share more than 12 hours tab kinder`i' [aw=weight`i'] } forvalues i=1/5 { tab haus`i' [aw=weight`i'] } forvalues i=1/5 { // no weight tab kinder`i' } forvalues i=1/5 { tab haus`i' } forvalues i=1/5 { // check share more than 12 hours tab kinder`i' if gndr==1 [aw=weight`i'] } forvalues i=1/5 { // check share more than 12 hours tab kinder`i' if gndr==2 [aw=weight`i'] } // not recoded forvalues i=1/7 { gen kinder_original`i'=kinder`i' gen haus_original`i'=haus`i' } forvalues i=3/7 { gen kinder_p_original`i'=kinder_p`i' gen haus_p_original`i'=haus_p`i' } // recoded forvalues i=1/7 { replace kinder`i'=12 if kinder`i'>12 & kinder`i'!=. replace haus`i'=12 if haus`i'>12 & haus`i'!=. } forvalues i=3/7 { replace kinder_p`i'=12 if kinder_p`i'>12 & kinder_p`i'!=. replace haus_p`i'=12 if haus_p`i'>12 & haus_p`i'!=. } log using "Z:\Documents\Project_Corona_2020\UNPAID-WORK\descr.log", replace forvalues i=1/5 { tab haus`i' if panel`i'==1, m tab kinder`i' if panel`i'==1, m tab stunden_tag`i' if panel`i'==1, m capture tab haus_p`i' if panel`i'==1, m capture tab kinder_p`i' if panel`i'==1, m capture tab stunden_tag_p`i' if panel`i'==1, m tab erwerb`i' if panel`i'==1, m capture tab erwerb_p`i' if panel`i'==1, m tab home`i' if panel`i'==1, m } tab1 age gndr kindnum kindnum_var youngest educ, m log close *** COUPLE ANALYSIS lab def diff 1 "father more" 2 "same" 3 "mother more" forvalues i=3/7 { gen kinder_total`i'=kinder`i'+kinder_p`i' gen kinder_w`i'=kinder`i' if gndr==2 replace kinder_w`i'=kinder_p`i' if gndr==1 gen kinder_m`i'=kinder`i' if gndr==1 replace kinder_m`i'=kinder_p`i' if gndr==2 gen share_kinder`i'=kinder_w`i'/kinder_total`i' gen diff_kinder`i'=kinder_w`i'-kinder_m`i' ta diff_kinder`i' recode diff_kinder`i' (-12/-1=1) (-0.5/0.5=2) (0.6/12=3), gen(diff_kinder_rec`i') replace diff_kinder_rec`i'=2 if kinder_w`i'==0 & kinder_m`i'==0 // "same" if neither spends time in childcare lab val diff_kinder_rec`i' diff } forvalues i=3/7 { gen haus_total`i'=haus`i'+haus_p`i' gen haus_w`i'=haus`i' if gndr==2 replace haus_w`i'=haus_p`i' if gndr==1 gen haus_m`i'=haus`i' if gndr==1 replace haus_m`i'=haus_p`i' if gndr==2 gen share_haus`i'=haus_w`i'/haus_total`i' gen diff_haus`i'=haus_w`i'-haus_m`i' ta diff_haus`i' ta share_haus`i' recode diff_haus`i' (-12/-0.55=1) (-0.5/0.5=2) (0.55/12=3), gen(diff_haus_rec`i') replace diff_haus_rec`i'=2 if haus_w`i'==0 & haus_m`i'==0 // "same" if neither spends time in housework lab val diff_haus_rec`i' diff } lab def erwerb_both 1 "beide NE" 2 "Frau NE, Mann VZ" 3 "Frau TZ, Mann VZ" 4 "Frau VZ, Mann VZ" 5 "Andere" forvalues i=3/7 { gen erwerb_w`i'=erwerb`i' if gndr==2 replace erwerb_w`i'=erwerb_p`i' if gndr==1 gen erwerb_m`i'=erwerb`i' if gndr==1 replace erwerb_m`i'=erwerb_p`i' if gndr==2 gen stunden_tag_w`i'=stunden_tag`i' if gndr==2 replace stunden_tag_w`i'=stunden_tag_p`i' if gndr==1 gen stunden_tag_m`i'=stunden_tag`i' if gndr==1 replace stunden_tag_m`i'=stunden_tag_p`i' if gndr==2 gen erwerb_both`i'=1 if erwerb_w`i'==1 & erwerb_m`i'==1 replace erwerb_both`i'=2 if erwerb_w`i'==1 & erwerb_m`i'==3 replace erwerb_both`i'=3 if erwerb_w`i'==2 & erwerb_m`i'==3 replace erwerb_both`i'=4 if erwerb_w`i'==3 & erwerb_m`i'==3 replace erwerb_both`i'=5 if (erwerb_w`i'>=1 & erwerb_w`i'<=3) & (erwerb_m`i'>=1 & erwerb_m`i'<=3) & erwerb_both`i'==. lab val erwerb_both`i' erwerb_both gen diff_stunden`i'=stunden_tag_w`i'-stunden_tag_m`i' tab diff_stunden`i' recode diff_stunden`i' (-23/-2=1) (-1.99/1.99=2) (2/23=3), gen(diff_stunden_rec`i') replace diff_stunden_rec`i'=2 if stunden_tag_w`i'==0 & stunden_tag_m`i'==0 // "same" if neither spends time in employment lab val diff_stunden_rec`i' diff } forvalues i=1/7 { // Childcare & housework gen care_total`i'=kinder`i'+haus`i' } forvalues i=3/7 { // Childcare & housework gen care_total_p`i'=kinder_p`i'+haus_p`i' gen care_w`i'=care_total`i' if gndr==2 replace care_w`i'=care_total_p`i' if gndr==1 gen care_m`i'=care_total`i' if gndr==1 replace care_m`i'=care_total_p`i' if gndr==2 gen diff_care`i'=care_w`i'-care_m`i' ta diff_care`i' recode diff_care`i' (-15/-1.01=1) (-1/1=2) (1.1/24=3), gen(diff_care_rec`i') replace diff_care_rec`i'=2 if care_w`i'==0 & care_m`i'==0 // "same" if neither spends time in care time } *** FIGURE 1 preserve keep if gndr==2 // CHANGE THIS: 1=fathers, 2=mothers forvalues i=1/7 { mean kinder`i' [aw=weight`i'] mean haus`i' [aw=weight`i'] mean stunden_tag`i' } restore *** APPENDIX Table A3 preserve keep if youngest==2 // CHANGE THIS: 1, 2 keep if gndr==1 // CHANGE THIS: 1, 2 forvalues i=1/7 { mean kinder`i' [aw=weight`i'] mean haus`i' [aw=weight`i'] mean stunden_tag`i' } restore *** APPENDIX Table A2 egen waves=anycount(panel?), v(1) ta waves ta gndr // no weights applied recode kindnum (2/4=2), gen(kindnum_rec) ta youngest // no weights applied ta kindnum_rec preserve keep if gndr==1 // CHANGE THIS: 1, 2 ta educ // no weights applied forvalues i=1/7 { ta erwerb`i' [aw=weight`i'] ta home`i' [aw=weight`i'] if erwerb`i'!=1 } restore forvalues i=3/7 { ta erwerb_both`i' [aw=weight`i'] ta diff_stunden_rec`i' [aw=weight`i'] } forvalues i=3/7 { ta erwerb_both`i' [aw=weight`i'], m ta diff_stunden_rec`i' [aw=weight`i'], m } *** FIGURE 2 forvalues i=3/7 { ta diff_kinder_rec`i' [aw=weight`i'] } forvalues i=3/7 { ta diff_haus_rec`i' [aw=weight`i'] } forvalues i=3/7 { ta diff_care_rec`i' [aw=weight`i'] } *** Appendix TABLE A8 forvalues i=3/7 { bysort youngest: ta diff_kinder_rec`i' [aw=weight`i'] } forvalues i=3/7 { bysort youngest: ta diff_haus_rec`i' [aw=weight`i'] } forvalues i=3/7 { bysort youngest: ta diff_care_rec`i' [aw=weight`i'] } **** APPENDIX TABLE A1 forvalues i=3/7 { mean kinder`i' if gndr==2 [aw=weight`i'] mean kinder_p`i' if gndr==1 [aw=weight`i'] } forvalues i=3/7 { mean kinder`i' if gndr==1 [aw=weight`i'] mean kinder_p`i' if gndr==2 [aw=weight`i'] } forvalues i=3/7 { mean haus`i' if gndr==2 [aw=weight`i'] mean haus_p`i' if gndr==1 [aw=weight`i'] } forvalues i=3/7 { mean haus`i' if gndr==1 [aw=weight`i'] mean haus_p`i' if gndr==2 [aw=weight`i'] } *** TABLE 5 tab diff_kinder_rec3 erwerb_both3 [aw=weight3], nof col tab diff_haus_rec3 erwerb_both3 [aw=weight3], nof col tab diff_care_rec3 erwerb_both3 [aw=weight3], nof col tab diff_kinder_rec3 erwerb_both3 tab diff_haus_rec3 erwerb_both3 tab diff_care_rec3 erwerb_both3 tab diff_kinder_rec3 diff_stunden_rec3 [aw=weight3], nof col tab diff_haus_rec3 diff_stunden_rec3 [aw=weight3], nof col tab diff_care_rec3 diff_stunden_rec3 [aw=weight3], nof col tab diff_kinder_rec3 diff_stunden_rec3 tab diff_haus_rec3 diff_stunden_rec3 tab diff_care_rec3 diff_stunden_rec3 keep RESPID kinder* haus* stunden_tag* erwerb* erwerb_both* diff_kinder_rec* diff_haus_rec* diff_stunden_rec* share_kinder* kindnum_rec youngest gndr educ home* weight* care_total* diff_care_rec* reshape long kinder kinder_original haus haus_original stunden_tag erwerb erwerb_both diff_kinder_rec diff_haus_rec diff_stunden_rec share_kinder home weight care_total, i(RESPID) j(wave) keep if wave<=3 *** TABLE 3 preserve keep if gndr==1 mean kinder [aw=weight], over(erwerb) mean kinder [aw=weight], over(educ) mean kinder [aw=weight], over(home) mean haus [aw=weight], over(erwerb) mean haus [aw=weight], over(educ) mean haus [aw=weight], over(home) mean care_total [aw=weight], over(erwerb) mean care_total [aw=weight], over(educ) mean care_total [aw=weight], over(home) restore *** TABLES A4, A5, A6 bysort gndr: ta home erwerb if home<3 [aw=weight], nof row bysort gndr: ta home erwerb if home<3, row bysort gndr: ta educ erwerb [aw=weight], nof row bysort gndr: ta educ erwerb, row bysort gndr: ta educ home if home<3 [aw=weight], nof row bysort gndr: ta educ home if home<3, row *** TABLE 4 * MOTHERS * Models without erwerb, focusing on educ, not shown in paper xi: regress kinder youngest kindnum_rec ib2.educ i.wave if gndr==2, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec ib3.erwerb i.educ ib2.home i.wave if gndr==2 & erwerb>1, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec ib3.erwerb ib2.educ i.wave if gndr==2, vce(cluster RESPID) est store m1, title(Model 1) xi: regress haus youngest kindnum_rec ib3.erwerb ib2.educ i.wave if gndr==2, vce(cluster RESPID) est store m2, title(Model 2) xi: regress care_total youngest kindnum_rec ib3.erwerb ib2.educ i.wave if gndr==2, vce(cluster RESPID) est store m3, title(Model 3) xi: regress kinder youngest kindnum_rec ib2.educ ib2.home i.wave if gndr==2, vce(cluster RESPID) est store m4, title(Model 4) xi: regress haus youngest kindnum_rec ib2.educ ib2.home i.wave if gndr==2, vce(cluster RESPID) est store m5, title(Model 5) xi: regress care_total youngest kindnum_rec ib2.educ ib2.home i.wave if gndr==2, vce(cluster RESPID) est store m6, title(Model 6) * FATHERS * Models without erwerb, focusing on educ, not shown in paper xi: regress kinder youngest kindnum_rec ib2.educ i.wave if gndr==1, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec ib3.erwerb ib2.educ ib2.home i.wave if gndr==1 & erwerb>1, vce(cluster RESPID) * check about middle educated xi: regress kinder i.educ i.wave if gndr==1, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec ib2.educ i.wave if gndr==1, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec ib2.educ ib3.erwerb i.wave if gndr==1, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec i.educ ib2.home i.wave if gndr==1, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec i.educ ib2.home i.wave if gndr==1 & erwerb>1, vce(cluster RESPID) xi: regress kinder youngest kindnum_rec ib3.erwerb ib2.educ i.wave if gndr==1, vce(cluster RESPID) est store m7, title(Model 7) xi: regress haus youngest kindnum_rec ib3.erwerb ib2.educ i.wave if gndr==1, vce(cluster RESPID) est store m8, title(Model 8) xi: regress care_total youngest kindnum_rec ib3.erwerb ib2.educ i.wave if gndr==1, vce(cluster RESPID) est store m9, title(Model 9) xi: regress kinder youngest kindnum_rec ib2.educ ib2.home i.wave if gndr==1, vce(cluster RESPID) est store m10, title(Model 10) xi: regress haus youngest kindnum_rec ib2.educ ib2.home i.wave if gndr==1, vce(cluster RESPID) est store m11, title(Model 11) xi: regress care_total youngest kindnum_rec ib2.educ ib2.home i.wave if gndr==1, vce(cluster RESPID) est store m12, title(Model 12) * Interaction xi: regress care_total youngest kindnum_rec ib3.erwerb##i.educ i.wave if gndr==2, vce(cluster RESPID) est store m13, title(Model 13) xi: regress care_total youngest kindnum_rec ib3.erwerb##i.educ i.wave if gndr==1, vce(cluster RESPID) est store m14, title(Model 14) estout m1 m2 m3 m4 m5 m6 m7 m8 m9 m10 m11 m12 m13 m14 using "Z:\Documents\Project_Corona_2020\UNPAID-WORK\models.xls", cells(b(star fmt(2))) stats(ll) replace *** TABLE A7 xi: regress kinder youngest kindnum_rec ib3.erwerb i.educ i.wave if gndr==2, vce(cluster RESPID) est store m1, title(Model 1) xi: regress kinder_original youngest kindnum_rec ib3.erwerb i.educ i.wave if gndr==2, vce(cluster RESPID) est store m2, title(Model 2) xi: regress kinder youngest kindnum_rec i.educ ib2.home i.wave if gndr==2, vce(cluster RESPID) est store m3, title(Model 3) xi: regress kinder_original youngest kindnum_rec i.educ ib2.home i.wave if gndr==2, vce(cluster RESPID) est store m4, title(Model 4) xi: regress kinder youngest kindnum_rec ib3.erwerb i.educ i.wave if gndr==1, vce(cluster RESPID) est store m5, title(Model 5) xi: regress kinder_original youngest kindnum_rec ib3.erwerb i.educ i.wave if gndr==1, vce(cluster RESPID) est store m6, title(Model 6) xi: regress kinder youngest kindnum_rec i.educ ib2.home i.wave if gndr==1, vce(cluster RESPID) est store m7, title(Model 7) xi: regress kinder_original youngest kindnum_rec i.educ ib2.home i.wave if gndr==1, vce(cluster RESPID) est store m8, title(Model 8) estout m1 m2 m3 m4 m5 m6 m7 m8 using "Z:\Documents\Project_Corona_2020\UNPAID-WORK\models_original.xls", cells(b(star fmt(2))) stats(ll) replace *** TABLE 6 keep if wave==3 drop if weight==. tab diff_kinder_rec tab diff_haus_rec recode diff_kinder_rec (3=0 "mother more") (1/2=1 "father more/same"), gen (diff_kinder_rec_binary) recode diff_haus_rec (3=0 "mother more") (1/2=1 "father more/same"), gen (diff_haus_rec_binary) recode diff_care_rec3 (3=0 "mother more") (1/2=1 "father more/same"), gen (diff_care_rec_binary) recode diff_stunden_rec (1=1 "father more") (2/3=2 "mother more/same"), gen (diff_stunden_rec_binary) xi: logit diff_kinder_rec_binary youngest kindnum_rec ib4.erwerb_both, or est store m1, title(Model 1) xi: logit diff_kinder_rec_binary youngest kindnum_rec diff_stunden_rec_binary, or est store m2, title(Model 2) xi: logit diff_haus_rec_binary youngest kindnum_rec ib4.erwerb_both, or est store m3, title(Model 3) xi: logit diff_haus_rec_binary youngest kindnum_rec diff_stunden_rec_binary, or est store m4, title(Model 4) xi: logit diff_care_rec_binary youngest kindnum_rec ib4.erwerb_both, or est store m5, title(Model 5) xi: logit diff_care_rec_binary youngest kindnum_rec diff_stunden_rec_binary, or est store m6, title(Model 6) estout m1 m2 m3 m4 m5 m6 using "Z:\Documents\Project_Corona_2020\UNPAID-WORK\models_logit.xls", cells(b (star fmt(2))) eform stats(ll) replace *** TABLE A9 xi: mlogit diff_kinder_rec youngest kindnum_rec ib4.erwerb_both, rrr est store m1, title(Model 1) xi: mlogit diff_haus_rec youngest kindnum_rec ib4.erwerb_both, rrr est store m2, title(Model 2) xi: mlogit diff_care_rec3 youngest kindnum_rec ib4.erwerb_both, rrr est store m3, title(Model 3) estout m1 m2 m3 using "Z:\Documents\Project_Corona_2020\UNPAID-WORK\models_mlogit-2.xls", cells(b (star fmt(2))) eform stats(ll) replace