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Measuring Swiss employment growth: a measurement-error approach

Author

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  • Dr. Yannic Stucki

Abstract

The two main employment statistics from the Swiss Federal Statistical Office often show different dynamics on a quarter-by-quarter basis. Applying optimal signal-extraction techniques, this paper constructs a new measure of Swiss employment growth that provides a unified picture of historical employment dynamics. The new measure exhibits higher persistence and stronger co-movement with unemployment than when the underlying employment series are considered separately.

Suggested Citation

  • Dr. Yannic Stucki, 2022. "Measuring Swiss employment growth: a measurement-error approach," Working Papers 2022-11, Swiss National Bank.
    • Handle: RePEc:snb:snbwpa:2022-11
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    File URL: https://www.snb.ch/en/publications/research/working-papers/2022/working_paper_2022_11
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    References listed on IDEAS

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    5. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Employment; signal extraction; state-space model; dynamic-factor model; Switzerland;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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