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The importance of sampling frequency for estimates of well-being dynamics

Author

Listed:
  • Stephen Hoskins

    (Center for Research on Successful Ageing, Singapore Management University)

  • David W. Johnston

    (Monash University)

  • Johannes S. Kunz

    (Monash University)

  • Michael A. Shields

    (Monash University)

  • Kevin E. Staub

    (University of Melbourne)

Abstract

Using a high-frequency panel survey, we examine the sensitivity of estimated self-reported well-being (SWB) dynamics to using monthly, quarterly, and yearly data. This is an important issue if SWB is to be used to evaluate policy. Results from autoregressive models that account for individual-level het- erogeneity indicate that the estimated persistence using yearly data is near zero. However, estimated persistence from monthly and quarterly data is substantial. We estimate that persistence to shocks typically lasts around six months and has a net present value of 75–80 per cent of the contemporaneous effect. Estimates are similar for different domains of SWB.

Suggested Citation

  • Stephen Hoskins & David W. Johnston & Johannes S. Kunz & Michael A. Shields & Kevin E. Staub, 2024. "The importance of sampling frequency for estimates of well-being dynamics," Papers 2024-05, Centre for Health Economics, Monash University.
    • Handle: RePEc:mhe:chemon:2024-05
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    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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