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International evidence of time-variation in trend labor productivity growth

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  • Glocker, Christian
  • Wegmueller, Philipp

Abstract

We assess time-variation in labor productivity growth for a broad set of OECD countries over the period 1960–2016. The analysis utilizes a quarterly dataset and takes full account of the intensive labor margin. We apply ‘data-hungry’ endogenous break tests and time-varying parameters median-unbiased estimation. While the decline in labor productivity growth is particularly striking for European countries and Japan, it is rather mild in Anglo-Saxon economies.

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  • Glocker, Christian & Wegmueller, Philipp, 2018. "International evidence of time-variation in trend labor productivity growth," Economics Letters, Elsevier, vol. 167(C), pages 115-119.
    • Handle: RePEc:eee:ecolet:v:167:y:2018:i:c:p:115-119
    DOI: 10.1016/j.econlet.2018.03.025
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      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Bhattarai, Keshab & Qin, Weiguang, 2022. "Convergence in labor productivity across provinces and production sectors in China," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    4. Thomet, Jacqueline & Wegmueller, Philipp, 2021. "Technology Shocks And Hours Worked: A Cross-Country Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 25(4), pages 1020-1052, June.
    5. Glocker, Christian & Sestieri, Giulia & Towbin, Pascal, 2019. "Time-varying government spending multipliers in the UK," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 180-197.
    6. Polbin, Andrey V. (Полбин, Андрей В.), 2020. "Estimating Time-Varying Long-Run Growth Rate of Russian GDP in the ARX Model with Oil Prices [Оценка Траектории Темпов Трендового Роста Ввп России В Arx-Модели С Ценами На Нефть]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 40-63, February.
    7. Glocker, Christian & Kaniovski, Serguei, 2020. "Structural modeling and forecasting using a cluster of dynamic factor models," MPRA Paper 101874, University Library of Munich, Germany.
    8. Klaus S. Friesenbichler & Sandra Bilek-Steindl & Christian Glocker, 2021. "Österreichs Investitionsperformance im internationalen und sektoralen Vergleich. Erste Analysen zur COVID-19-Krise," WIFO Studies, WIFO, number 67163, February.
    9. Alina Szewc-Rogalska & Tomasz Jakiel, 2021. "Zmiany strukturalne a wydajność pracy w krajach Europy Środkowej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 63-96.

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    More about this item

    Keywords

    Labor productivity growth; Structural break tests; Time-varying parameters; Median-unbiased estimation;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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