Transcript Gateway to Global Ageing Repository

An Introduction to
The Gateway to Global Aging Data
HRS Summer Workshop
June 11th, 2015
Drystan Phillips & Ashley Lin
Health and Retirement Studies
around the World
• The Health and Retirement Study (HRS)
• The Mexican Health and Aging Study (MHAS)
• The English Longitudinal Study of Ageing (ELSA)
• The Survey of Health, Ageing and Retirement in Europe (SHARE)
• The Korean Longitudinal Study of Aging (KLoSA)
• The Indonesian Family Life Survey (IFLS)
Health and Retirement Studies
around the World
• The Health and Retirement Study (HRS)
• The Mexican Health and Aging Study (MHAS)
• The English Longitudinal Study of Ageing (ELSA)
• The Survey of Health, Ageing and Retirement in Europe (SHARE)
• The Korean Longitudinal Study of Aging (KLoSA)
• The Indonesian Family Life Survey (IFLS)
Health and Retirement Studies
around the World
• The Health and Retirement Study (HRS)
• The Mexican Health and Aging Study (MHAS)
• The English Longitudinal Study of Ageing (ELSA)
• The Survey of Health, Ageing and Retirement in Europe (SHARE)
• The Korean Longitudinal Study of Aging (KLoSA)
• The Indonesian Family Life Survey (IFLS)
Health and Retirement Studies
around the World
• The Health and Retirement Study (HRS)
• The Mexican Health and Aging Study (MHAS)
• The English Longitudinal Study of Ageing (ELSA)
• The Survey of Health, Ageing and Retirement in Europe (SHARE)
• The Korean Longitudinal Study of Aging (KLoSA)
• The Indonesian Family Life Survey (IFLS)
Health and Retirement Studies
around the World
• The Health and Retirement Study (HRS)
• The Mexican Health and Aging Study (MHAS)
• The English Longitudinal Study of Ageing (ELSA)
• The Survey of Health, Ageing and Retirement in Europe (SHARE)
• The Korean Longitudinal Study of Aging (KLoSA)
• The Indonesian Family Life Survey (IFLS)
Health and Retirement Studies
around the World
• The Health and Retirement Study (HRS)
• The Mexican Health and Aging Study (MHAS)
• The English Longitudinal Study of Ageing (ELSA)
• The Survey of Health, Ageing and Retirement in Europe (SHARE)
• The Korean Longitudinal Study of Aging (KLoSA)
• The Indonesian Family Life Survey (IFLS)
Health and Retirement Studies
around the World
• The Health and Retirement Study (HRS)
• The Mexican Health and Aging Study (MHAS)
• The English Longitudinal Study of Ageing (ELSA)
• The Survey of Health, Ageing and Retirement in Europe (SHARE)
• The Korean Longitudinal Study of Aging (KLoSA)
• The Indonesian Family Life Survey (IFLS)
Health and Retirement Studies
around the World
• The Japanese Study of Aging and Retirement (JSTAR)
• The Study on global AGEing and adult health (SAGE)
• The Irish Longitudinal Study on Aging (TILDA)
• The Costa Rican Longevity and Healthy Aging Study (CRELES)
• The China Health and Retirement Study (CHARLS)
• The Longitudinal Aging Study in India (LASI)
Health and Retirement Studies
around the World
• The Japanese Study of Aging and Retirement (JSTAR)
• The Study on global AGEing and adult health (SAGE)
• The Irish Longitudinal Study on Aging (TILDA)
• The Costa Rican Longevity and Healthy Aging Study (CRELES)
• The China Health and Retirement Study (CHARLS)
• The Longitudinal Aging Study in India (LASI)
Health and Retirement Studies
around the World
• The Japanese Study of Aging and Retirement (JSTAR)
• The Study on global AGEing and adult health (SAGE)
• The Irish Longitudinal Study on Aging (TILDA)
• The Costa Rican Longevity and Healthy Aging Study (CRELES)
• The China Health and Retirement Study (CHARLS)
• The Longitudinal Aging Study in India (LASI)
Health and Retirement Studies
around the World
• The Japanese Study of Aging and Retirement (JSTAR)
• The Study on global AGEing and adult health (SAGE)
• The Irish Longitudinal Study on Aging (TILDA)
• The Costa Rican Longevity and Healthy Aging Study (CRELES)
• The China Health and Retirement Study (CHARLS)
• The Longitudinal Aging Study in India (LASI)
Health and Retirement Studies
around the World
• The Japanese Study of Aging and Retirement (JSTAR)
• The Study on global AGEing and adult health (SAGE)
• The Irish Longitudinal Study on Aging (TILDA)
• The Costa Rican Longevity and Healthy Aging Study (CRELES)
• The China Health and Retirement Study (CHARLS)
• The Longitudinal Aging Study in India (LASI)
Health and Retirement Studies
around the World
• The Japanese Study of Aging and Retirement (JSTAR)
• The Study on global AGEing and adult health (SAGE)
• The Irish Longitudinal Study on Aging (TILDA)
• The Costa Rican Longevity and Healthy Aging Study (CRELES)
• The China Health and Retirement Study (CHARLS)
• The Longitudinal Aging Study in India (LASI)
Core Content Areas
• Health, cognition, diseases, emotion, injury, physical functioning,
physical measures, health behaviors
• Health insurance, health services utilization, health care expenditure,
out-of-pocket spending
• Labor force, employment status/history, earnings, disability,
retirement, work characteristics, pensions
• Economic Status, income, wealth, consumption, earnings,
government transfers, housing, financial and non-financial assets
• Family structure, social network, family demographics, family
exchange, family support, marriage, social participation
Physical Measures
• Standard battery
• Height, weight
• Waist (hip)
• Blood pressure
• Grip strength
• Lung function (puff test or other)
• Gait speed (timed walk)
• Balance
Studies by Type of Blood Collection
•
Whole blood:
ELSA, TILDA, CHARLS, MHAS
•
Dried blood spots:
HRS, LASI, Germany (SHARE ), IFLS
•
None:
KLOSA, SHARE, JSTAR
Genetics
HRS GWAS data (saliva sample)
http://hrsonline.isr.umich.edu/sitedocs/genetics/GWAS_Overview.pdf
ELSA GWAS data (whole blood sample)
http://www.esds.ac.uk/doc/5050/mrdoc/pdf/5050_Applying_for_ELSA_Genetics_Data.pdf
Other studies are also considering…
Ex-Post Harmonization
To facilitate cross-national comparative studies on aging
using a family of HRS studies around the world
• A set of domain-specific user guides
- Diseases, cognition, employment & retirement, income, wealth,
family financial transfers, expectations, health behavior
• Gateway to Global Aging Data
Evaluate Harmonization Potential for
Participating Studies
A set of domain-specific user guides on:
Chronic medical conditions Income
Financial transfers
Wealth
Expectations
Cognition
Employment and
retirement
Health Behavior
RAND Working Paper Series, WR861-1/7
Gateway to Global Aging Data: www.g2aging.org
Overview of the Gateway to Global Aging Data
• A digital library of survey content
• Illustrative flow-charts showing skip patterns
• Survey concordance with intelligent search engine to locate relevant survey items
• Interactive graphs and charts
• Integration with Stata to match survey items to dataset variables
• Harmonized data files for cross-country analysis
• Searchable library of publications based on Health and Retirement Surveys
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
Survey Concordance
Users can identify comparable survey measures between all Health and
Retirement Surveys using
• Keyword search
• Top-level research domains
• Finer research topics for Harmonized Studies
Allows users to find both compare measures between multiple waves
of one study and the same year in multiple studies.
Flow Charts
Interactive Graphs and Charts
Interactive Graphs and Charts
Interactive Graphs and Charts
Total Family Income for England in 2004 over 3 age groups
Interactive Graphs and Charts
Interactive Graphs and Charts
Registering
Visit g2aging.org
• Choose “register” in the upper right
• Enter your information
• Confirm email
Integration with Stata
Health & Retirement Study
Stata Dataset
Gateway to Global Aging Data
perid
KC001
KC002
KC003
KC004
10004
1
.
2
1
10008
3
3
1
2
11005
.
2
4
.
22051
5
99
3
3
23004
98
3
99
2
23005
7
5
.
6
31554
33
1
.
1
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:
D:\ELSA\
Or
/MACHD/ELSA/
Once updated, the cart will reflect that you have specified the dataset
location
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
Creating Analysis Data
Example
We want to compare whether health limits any paid
work in 2006 between the US and England
• 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
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
Harmonized Data Files
• Harmonized ELSA – incorporates the first five waves of ELSA (2002, 2004, 2006, 2008,
2010)
• 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 four wave of KLoSA (2006, 2008, 2010, 2012)
• Harmonized LASI – incorporates the pilot data of LASI (2010)
• Harmonized CHARLS - incorporates the first wave of CHARLS (2010)
• 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.
Simple Harmonization
SHARE 2004
Harmonized SHARE
BR001
Ever smoked cigarettes daily?
1. Yes
R1SMOKEN
5. No
Respondent smokes now
0. No
1. Yes
If BR001= 1
BR002
Smoke at the present time?
1. Yes
5. No, I have stopped
Complex Harmonization
JSTAR Self-completion 2007
31. Do you manage your assets
together with your spouse (or
common-law spouse) or separately?
32. Do you have
savings in your own
name?
If 31 = No
If 31 = Yes
If 32 = No
35. Does your spouse have
savings in his or her own name?
32-1. About how much do you
If 32 = Yes
have in those accounts?
35-1. About how much
does your spouse have in
these accounts?
Next
Question
If 35 = Yes
If 35 = No
Next Question
Next Question
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.
If G-022-1
= Yes
G-022-2. About
how much savings
do you have?
G-022-2-1. Do you have more/less
than ___ yen in savings?
If G-022-2
= missing
G-022-2-2. Do you have more/less
than ___ yen in savings?
If G-022-1
= No
Next Question
Harmonized JSTAR
G-022-2-3. Do you have more/less
than ___ yen in savings?
H1ACHCK
Wave 1 Household Assets:
Savings
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
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
Harmonized Codebooks
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 two studies
Literature Search
Users can find publications based on Health and Retirement Surveys
around the world which are relevant to their research focus
• Select from survey, topic, or year
• Search by title, author, and source
All results are linked to Google Scholar
Export citation information as a text, csv, or Endnote file
Contact us at [email protected]