TY  - RPRT
        AU  - Hoskins, Stephen
AU  - Johnston, David W.
AU  - Kunz, Johannes S.
AU  - Shields, Michael A.
AU  - Staub, Kevin E.
        TI  - The Importance of Sampling Frequency for Estimates of Well-Being Dynamics
        PY  - 2024/Jun/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 17101
        UR  - https://www.iza.org/index.php/publications/dp17101
        AB  - 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.
        KW  - panel autoregression
KW  - dynamic panel data
KW  - happiness
KW  - life satisfaction
KW  - well-being
KW  - adaptation
KW  - persistence
        ER  -