I am trying to match couples (married or cohab) in a pooled cross section. I have a household ID (hhid) for every quarter that appears only unique to a particular quarter. To keep things simpler at the start, I look only at wave 1 of every year (Q1). At the end of the day, I want to run a reduced form labor supply equation for women only with the spouse's years in the yuk (spyuk) and the woman's years in the UK (yuk) including a bunch of controls where yuk==0 and spyuk==0 for natives, so something like this:
Code:
regress jobhrs yuk spyuk
If anyone happens to have a complete different idea as to how to match couples (I got hhid, wave, surveyyear) in a rough manner differently from what I am suggesting, I am open to any suggestions.
Thank you very much.
Nico
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str13 hhid int year byte wave float(yuk spyuk jobhrs) byte(relhfu familytype) float im " 1" 2011 1 0 0 60 1 4 0 " 1" 2011 1 0 0 37 2 4 0 " 1" 2014 1 0 0 40 1 9 0 " 1" 2014 1 0 0 36 2 9 0 " 2" 2011 1 6 6 30 2 7 1 " 2" 2011 1 0 0 38 1 7 0 " 2" 2015 1 0 0 24 2 4 0 " 2" 2015 1 0 0 45 1 4 0 " 2" 2017 1 13 13 45 1 9 1 " 2" 2017 1 0 0 16 2 9 0 " 3" 2013 1 0 0 4 2 7 0 " 3" 2014 1 0 0 38 1 6 0 " 3" 2014 1 0 0 13 2 6 0 " 3" 2017 1 0 0 45 1 4 0 " 4" 2013 1 0 0 60 1 6 0 " 4" 2015 1 0 0 36 1 9 0 end label values year REFWKY label values wave THISWV label values relhfu RELHFU label def RELHFU 1 "Head of family unit", modify label def RELHFU 2 "Wife or partner of head", modify label values familytype FUTYPE6 label def FUTYPE6 4 "Married couple with no children", modify label def FUTYPE6 6 "Married couple with dep children", modify label def FUTYPE6 7 "Cohab couple with no children", modify label def FUTYPE6 9 "Cohab couple with dep children", modify
0 Response to match couples in a pooled quarterly cross section (Q1 only) with hhid, wave and survey year known, hhid unique to each quarter only.
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