1. Gateway to Global Aging Data Advanced Webinar Webinar January19 th, 2015 Drystan Phillips

2. Gateway to Global Aging Data Advanced Webinar Agenda: 1.Analysis using the Harmonized CHARLS 2.Cross-country analysis using the Harmonized CHARLS and RAND HRS

3. Analysis using the Harmonized CHARLS Research question: Are their gender differences in cognition and are these differences consistent across all age groups? Xiaoyan Lei, James P. Smith, Xiaoting Sun, Yaohui Zhao, Gender differences in cognition in China and reasons for change over time: Evidence from CHARLS, The Journal of the Economics of Ageing, Volume 4, December 2014, Pages 46-55, ISSN 2212-828X.

4. Analysis using the Harmonized CHARLS Steps: 1.Create the Harmonized CHARLS dataset 2.Identify relevant variables 3.Create additional variables 4.Apply weights 5.Analyze cognition across genders 6.Analyze cognition across genders and ages

5. Analysis using the Harmonized CHARLS Create the Harmonized CHARLS dataset 1.Download all CHARLS data files for Wave 1 and Wave 2 2.Download and run the Harmonized CHARLS Creation Code in Stata 3.Download the Harmonized CHARLS Codebook

6. Analysis using the Harmonized CHARLS Identify relevant variables Year of interest: 2011 – CHARLS Wave 1 Measure of cognition - r1tr20 Gender identifier - ragender Age identifier - r1agey Analysis weight - r1wtrespb

7. Analysis using the Harmonized CHARLS Create additional variables Create 5 year age categories egen r1agecat = cut(r1agey), at(45,50,55,60,65,75,110) label

8. Analysis using the Harmonized CHARLS Apply weights Using svyset command svyset [pw=r1wtrespb]

9. Analysis using the Harmonized CHARLS Analyze cognition across genders Estimate mean cognition for males Estimate mean cognition for females Test whether the two estimates are significantly different svy, subpop(if ragender==1): mean r1tr20 svy, subpop(if ragender==2): mean r1tr20 svy: mean r1tr20, over(ragender) test [r1tr20]_subpop_1=[ r1tr20]_subpop_2

10. Analysis using the Harmonized CHARLS Analyze cognition across genders and ages Estimate mean cognition for each gender-age group Test the difference for the youngest group Test the difference for the oldest group svy: mean r1tr20, over(ragender r1agecat) test [r1tr20]_subpop_1=[ r1tr20]_subpop_7 test [r1tr20]_subpop_6=[ r1tr20]_subpop_12

11. Cross-country analysis using the Harmonized CHARLS and RAND HRS Research question: Are the gender differences in cognition consistent across countries?

12. Cross-country analysis using the Harmonized CHARLS and RAND HRS Steps: 1.Identify relevant variables in the RAND HRS 2.Create pooled dataset with variables from both Harmonized datasets 3.Prepare variables 4.Apply weights 5.Analyze cognition across genders and ages for each country

13. Cross-country analysis using the Harmonized CHARLS and RAND HRS Identify relevant variables in the RAND HRS Year of interest: 2010 – HRS Wave 10 Measure of cognition - r10tr20 Gender identifier - ragender Age identifier - r10agey_e Analysis weight - r10wtresp

14. Cross-country analysis using the Harmonized CHARLS and RAND HRS Create additional variables Create pooled dataset with variables from both Harmonized datasets use r10tr20 ragender r10agey_e r10wtresp using rndhrs_o.dta append using H_CHARLS.dta, keep(r1tr20 ragender r1agey r1wtrespb)

15. Cross-country analysis using the Harmonized CHARLS and RAND HRS Prepare variables Adjust for differing wave numbers in variable names Create age categories gen r2010cog =. replace r2010cog = r10tr20 if country == 840 replace r2010cog = r1tr20 if country == 156 egen r2010agecat = cut(r2010agey), at(51,55,60,65,75,110)

16. Cross-country analysis using the Harmonized CHARLS and RAND HRS Apply weights Using svyset command svyset [pw=weight], strata(country)

17. Cross-country analysis using the Harmonized CHARLS and RAND HRS Analyze cognition across genders and ages for each country Estimate mean cognition for each country-gender-age group Test the difference for the youngest group in China Test the difference for the youngest group in the US svy: mean r2010cog, over(country ragender r2010agecat) test [r2010cog]_subpop_1=[ r2010cog]_subpop_6 test [r2010cog]_subpop_11=[ r2010cog]_subpop_16

18. Cross-country analysis using the Harmonized CHARLS and RAND HRS Analyze cognition across genders and ages for each country Test the difference for the oldest group in China Test the difference for the oldest group in the US test [r2010cog]_subpop_5=[ r2010cog]_subpop_10 test [r2010cog]_subpop_15=[ r2010cog]_subpop_20