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The Development of a Successful Household Panel Survey: The HILDA Experience Mark Wooden Project Director, HILDA Survey
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www.melbourneinstitute.com About HILDA: Introduction Funded and owned by Australian Government Multi-purpose survey –Modelled on other household panels – BHPS, SOEP Survey manager = Melbourne Institute of Applied Economic & Social Research (University of Melbourne) Fieldwork subcontractor = Roy Morgan Research Unit record data available (under license) Want to know more? Articles in The Economic Record, June 2007 and Australian Economic Review, September 2010 www.melbourneinstitute.com/hilda/
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www.melbourneinstitute.com About HILDA: Key Design Features Commenced (in 2001) with national probability sample of households –Area-based clustered / stratified sample design Annual survey waves Follow all original hh members and offspring indefinitely Sample augmented with hh joiners Interview all “adults” –Face-to-face where possible –CAPI / CATI technology Refreshment (top-up) sample added in wave 11 Cash incentives paid
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www.melbourneinstitute.com Survey Instruments Household Form –Key identifiers / Changing HH membership / HH relationships / Reasons for non-response Household Questionnaire –Collects hh level data from relevant HH member Continuing Person Questionnaire –All persons 15+ who have previously been interviewed New Person Questionnaire –All persons 15+ who have never previously been interviewed Self-completion Questionnaire –All interview respondents; 16 pp, expanded to 20 from W5
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www.melbourneinstitute.com What’s In It? HQ / CPQ Core: –Child care –Housing –Education –Employment status –Job characteristics –Job search –Calendar –Income –Family formation –Partnering & relationships –Living in Australia Disability, Life satisfaction, Spatial mobility, Caring –Tracking –Interview situation Special “modules”: –W1 (+NPQ) = Personal history –W2 =Wealth –W3 =Retirement –W4 =Youth issues; Private health insurance –W5 = Family formation –W6 = Wealth –W7 = Retirement; Lifestyle –W8 = Family formation; Non- cores. relationships –W9 = Health –W10 = Wealth –W11 = Family formation; Retirement –W12 = Skills & abilities; Non- cores. relationships
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www.melbourneinstitute.com What’s In It? SCQ Health and well-being (SF36, Kessler 10, serious health conditions) Health behaviours (smoking, drinking, exercise, height / weight, diet) Social capital / relationships (satisfaction with family, social support, community participation, religion) Neighbourhood characteristics Life events Time use Finances (stressful financial events, savings habits, risk preference, h’hold expend) Job attributes Parenting (parenting stress / work family gains and strains) Attitudes to work / gender roles / marriage Personality
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www.melbourneinstitute.com Indicators of Success We are still going! –Funded renewed until wave 16 –And total funding has increased Response / attrition rates are good to excellent Data usage is high Strong evidence of validity
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www.melbourneinstitute.com Response in 2001 was good HH response –In-scope sample = 11,693 –7682 cooperating households = 66% RR Individual response –W1 individual sample = 15,127 persons –13,969 respondents = 92% RR Sample reasonably representative, but … –Sydney residents under-represented –People from a NESB under-represented –Males less likely to complete a PQ (but no less likely to be a CSM)
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www.melbourneinstitute.com Response in 2011 was better
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www.melbourneinstitute.com Response in 2011 was better
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www.melbourneinstitute.com Retention is High (Annual Re-interview Rates: HILDA, BHPS & GSOEP)
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www.melbourneinstitute.com Retention is High (Annual Re-interview Rates: HILDA, BHPS & GSOEP)
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www.melbourneinstitute.com Fieldwork Outcomes: W1 Adults
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www.melbourneinstitute.com Tracking Movers 22-23% of all hh’s change address b/w each survey wave Pre-field office activity –Notifications (1800#, change of address card, email) –Matching to Australia Post –Returns to sender –Move indicator variable Other household members Contact information collected at previous ivw Neighbours Other community resources Online White Pages
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www.melbourneinstitute.com Minimising Refusals MARKETING / RESPONDENT ENGAGEMENT PAL and brochure, newsletter / Stat report 1800 number PERSISTENCE 2-3 stage fieldwork NRs re-issued in later waves GOOD PEOPLE Selection and continuity of interviewers Training / interviewer engagement RESPONDENT INCENTIVES
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www.melbourneinstitute.com Data User Numbers ReleaseTotal data ordersNew usersCumulative total 1204 202 2265169373 3279157530 4329176706 5387196902 64011761078 74551991277 84311251402 95001411543 10 (@19 July) 4261321675
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www.melbourneinstitute.com Publication Count Year Journal articles Books / book chapters Other publications Working papers 20025003 20036228 2004244815 2005243821 20062511923 20073501135 20083802335 20094772735 20105262030 20116403642 2012 / forthcoming5201714 TOTAL37223171261
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www.melbourneinstitute.com Promoting Data Use Well-documented, user-friendly data sets User Manual Other on-line tools (e.g., PanelWhiz) Discussion Papers / Technical Papers User training and panel data analysis courses Biennial research conference Membership of CNEF Presentations to different stakeholders Annual Statistical Report Study-specific web site User email list
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www.melbourneinstitute.com Research Uses: Key Features Topic coverage extremely broad
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www.melbourneinstitute.com Research Topics: Just a Few Examples! Income and wealth –Poverty dynamics –Distribution of household wealth –Retirement savings Labour supply / Unemployment –LFP and health –Family policy and couples LS –Impact of child care costs –Forgone earnings of mothers Employment –Working hours mismatch –Casual employment transitions –Part-time employment and wages –Job insecurity –Responses to long hours –Gender inequity Marriage and family –Patterns of cohabitation –Children’s living arrangements –Post-separation contact with children –Childlessness –Predictors of marital separation Subjective well-being –Adaptation to life events –Predictors / correlates of life satisfaction Mental health and: –welfare reliance –retirement –housing affordability –joblessness –job quality
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www.melbourneinstitute.com Research Uses: Key Features Topic coverage extremely broad Three key types of studies i.Innovative content / questions ii.Unobserved heterogeneity iii.Dynamics of change (and persistence) Still many cross-sectional analyses
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www.melbourneinstitute.com Policy Impacts: Examples Key input into Government’s Pension Review Annual Wage Reviews RBA –Household debt and risk –Effect of the superannuation guarantee on household saving Productivity Commission – Paid Parental Leave report
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www.melbourneinstitute.com Keys to Success: Response Expectations of fieldwork agency Motivated interviewer workforce Long fieldwork period Persistence Cash incentives
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www.melbourneinstitute.com Keys to Success: Other Ingredients Champions (and lots of them) Money (and lots of it) Imitation Good people Many users Luck
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www.melbourneinstitute.com Other Issues To Think About (I) Sample –Population, dwellings, households –Clustered / stratified –Dealing with future immigration What mode? –Interviewer administered vs self-administered –Single mode vs mixed mode or multi-mode Respondent burden How to reach non-English speakers?
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www.melbourneinstitute.com Other Issues To Think About (II) Making use of technology –Dependent data / On-line options How much value adding? –Data cleaning / Weights / Imputation / Derived variables Confidentiality vs data access Linkages to admin. data Scientific stewardship / Stakeholder involvement
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The Development of a Successful Household Panel Survey: The HILDA Experience Mark Wooden Project Director, HILDA Survey
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