an introduction to the gateway to global aging data hrs summer workshop june 11 th, 2015 drystan...

An Introduction to The Gateway to Global

Aging DataHRS 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 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

GeneticsHRS 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

Chronic medical conditionsFinancial transfersExpectationsEmployment and

retirement

IncomeWealthCognitionHealth Behavior

RAND Working Paper Series, WR861-1/7

A set of domain-specific user guides on:

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

MetadataMetadata 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


Total Family Income for England in 2004 over 3 age groups

Registering

• Choose “register” in the upper right

• Enter your information

• Confirm email

Visit g2aging.org

Health & Retirement Study

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

Stata Dataset

Integration with Stata

Gateway to Global Aging Data

Data Options PageSpecify any commands to include at the beginning of your .do files

Indicate dataset locationsCheck to make sure you have the correctly named datasetsList the folder location of each relevant survey wave on user’s machineThe 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/ELSA/

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

• 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

Harmonized Data FilesHarmonized 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 HarmonizationSHARE 2004 Harmonized SHARE

BR001Ever smoked cigarettes daily?

1. Yes5. No

BR002Smoke at the present time?

1. Yes5. No, I have stopped

If BR001= 1

R1SMOKENRespondent smokes now

0. No1. Yes

Complex HarmonizationJSTAR Self-completion 2007

Harmonized JSTAR

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?

32-1. About how much do youhave in those accounts?

Next Question35. 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

Next Question

If 31 = Yes

H1ACHCKWave 1 Household Assets:

Savings

If 32 = Yes

If 35 = Yes

JSTAR CAPI 2007G-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

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 AnalysisExample

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]

an introduction to the gateway to global aging data hrs summer workshop june 11 th, 2015 drystan...

Documents

longitudinal aging study

retirement study hrs

survey of health

aging study mhas

retirement study charls

japanese study of aging

mexican health

irish longitudinal study