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

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

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...

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Bibliographic Details
Main Authors: HOSKINS, Stephen James, JOHNSTON, David W., KUNZ, Johannes S., SHIELDS, Michael A., STAUB, Kevin E.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Adaptation
Dynamic panel data
Happiness
Life satisfaction
Panel autoregression
Persistence
Well-being
Singapore
Asian Studies
Behavioral Economics
Gerontology
Health Economics
Online Access:https://ink.library.smu.edu.sg/rosa_publications/3
https://ink.library.smu.edu.sg/context/rosa_publications/article/1002/viewcontent/1_s2.0_S0165176524003641_pvoa_cc_by.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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 heterogeneity 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.

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