1. Gateway to Global Aging Data September 17 th, 2014 APRU Data Workshop Drystan Phillips

2. Overview of the Gateway to Global Aging Data A digital library of survey content Illustrative flow-charts showing skip patterns An intelligent search engine to locate relevant survey items Integration with Stata to match survey items to dataset variables Harmonized data files for cross-country analysis A survey concordance to quickly identify comparable Harmonized survey measures Interactive graphs and charts A library of relevant user guides and articles (in progress)

3. Metadata Metadata provide detailed information about all the parts of the survey without providing the actual survey microdata. Included are: The location of all survey items inside the interview Survey questions including question text, interviewer prompts, and answer types and choices How the question was asked and to whom Links to microdata variables and how the values are formatted Assigned research topics, keywords, and domains Suggested similar survey items User notes

4. Flow Charts

5. Intelligent Search Users can search across multiple surveys and waves using our intelligent search engine. The search engine indexes: Question text Answer choices Item descriptions Associated research topics Searches can be filtered for a single study or multiple studies over any given set of survey years.

6. Interactive Graphs and Charts

7. Total Family Income for England in 2004 over 3 age groups

8. Interactive Graphs and Charts Whether Currently Working for Pay for individuals age 55-64 in 5 countries in 2006

9. Interactive Graphs and Charts Net Value of Primary Residence in the US from 2004-2010

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11. Health & Retirement Study peridKC001KC002KC003KC004 100041.21 100083312 11005.24. 2205159933 23004983992 2300575.6 31554331.1 Stata Dataset Integration with Stata Gateway to Global Aging Data

12. Data Options Page Specify any commands to include at the beginning of your.do files Indicate dataset locations Check to make sure you have the correctly named datasets List the folder location of each relevant survey wave on user’s machine The folder location should be in a format similar to: Once updated, the cart will reflect that you have specified the dataset location D:\ELSA\ Or /MACHD/ELS A /

13. Creating Analysis Data You can create a collection of survey items which are specific to your research using your Item Cart Searching for relevant survey items Browsing by Surveys for Relevant Survey Items Browsing by Topics for Relevant Harmonized Survey Items Using Pre-Defined Carts

14. Creating Analysis Data Select variables from the HRS and the ELSA Ensure that you have listed the file locations for all variables Create a cart, add any other relevant variables Download and run your generated.do file The result is one dataset with information from two studies without any other extraneous variables Example We want to compare whether health limits any paid work in 2006 between the US and England

16. Harmonized Data Files Harmonized Datasets are created to provide harmonized measures of international aging and retirement studies. Harmonized Datasets define variables as similarly as possible to the RAND HRS definition of a variable These datasets are structured in a Fat Format where every individual is one record Variable names are defined using the RAND HRS format e.g. r1work – whether the respondent is currently working in wave 1 Variable names indicate how similar to the RAND HRS version of the variable. Spouse versions of most variables are also created e.g. s2work – whether respondent's spouse is currently working in wave 2

17. Harmonized Data Files Harmonized ELSA – incorporates the first four waves of ELSA (2002, 2004, 2006, 2008) Harmonized SHARE – incorporates the first, second, and forth wave of SHARE (2004, 2006, 2010) Harmonized JSTAR – incorporates the first three waves of JSTAR (2007, 2009, 2011) Harmonized KLoSA - incorporates the first wave of KLoSA (2006) Harmonized LASI – incorporates the pilot data of LASI (2010) Harmonized CHARLS Harmonized MHAS Harmonized CRELES Harmonized TILDA Harmonized data files are either distributed through the Gateway or the originating study. In some cases the data file are created by user based on a code provided by the Gateway.

18. Simple Harmonization SHARE 2004 Harmonized SHARE BR001 Ever smoked cigarettes daily? 1. Yes 5. No BR002 Smoke at the present time? 1. Yes 5. No, I have stopped If BR001= 1 R1SMOKEN Respondent smokes now 0. No 1. Yes

19. Complex Harmonization JSTAR Self-completion 2007 Harmonized JSTAR 31. Do you manage your assets together with your spouse (or common-law spouse) or separately? 35. Does your spouse have savings in his or her own name? 35-1. About how much does your spouse have in these accounts? Next Question 32. Do you have savings in your own name? 32-1. About how much do you have in those accounts? Next Question If 31 = Yes H1ACHCK Wave 1 Household Assets: Savings If 32 = Yes If 35 = Yes JSTAR CAPI 2007 G-017. Do you and your spouse manage your savings and investments separately, or together? If you manage them together, please answer the following questions for your and your spouse’s funds all together. If you manage your savings and investments separately, please answer for your own funds. G-022-1. Do you have any savings? Please include regular bank or postal savings, fixed-term or fixed amount savings, including at credit unions, agricultural cooperatives, and credit banks. G-022-2. About how much savings do you have? G-022-2-1. Do you have more/less than ___ yen in savings? G-022-2-2. Do you have more/less than ___ yen in savings? G-022-2-3. Do you have more/less than ___ yen in savings? Next Question If G-022-1 = Yes If G-022-2 = missing If G-022-1 = No If 32 = No If 35 = No If 31 = No

20. Harmonized Codebooks Each Harmonized Dataset is accompanied by its own codebook. Includes brief overview of statistics for each variable Details variable creation and any assumptions made in the creation Highlights any differences between this harmonized variable and other harmonized variables Lists all the variables from the originating dataset used in the creation of the variable

21. Harmonized Codebooks

33. Harmonized Survey Concordance Users can quickly identify comparable Harmonized survey measures between all Harmonized health and retirement surveys. See which research topics are currently included in each Harmonized study Compare whether individual survey measures are Sufficiently comparable Similar, but not with notable differences Not available in a specific study Available, but not yet incorporated into the Harmonized study

34. Harmonized Analysis Example We want to compare whether health limits any paid work in 2006 between the US and England Select variables from the RAND HRS and Harmonized ELSA. Variables will have similar naming conventions. Download and run your generated.do file The result is one dataset with easily comparable and similarly named measures from three studies

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