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Measuring Total Factor Productivity and Variable Factor Utilisation: Sector Approach, The Case of Latvia

Author

Listed:
  • Ludmila Fadejeva

    (Bank of Latvia)

  • Aleksejs Melihovs

    (Bank of Latvia)

Abstract

This research constructs estimates of total factor productivity (TFP) growth for six sectors of the Latvian economy for the period 2000-2008, using a sectoral quarterly data set. Estimates are obtained by controlling for qualitative changes in production factors and assuming a mechanism for capturing changes in the utilisation of labour and capital. The paper delivers two main results. First, the use of indicators for labour and capital utilisation intensity allows for minimisation of fluctuations in the TFP measure and makes it less output growth dependent compared with the Solow residual approach. Second, the comparison of both methods shows that the estimate of the TFP growth obtained by the Solow residual approach might be undervalued for manufacturing, electricity, gas and water supply, wholesale and retail trade as well as hotels and restaurants, while overvalued for the growth in the transport, storage and communication sector of the Latvian economy.

Suggested Citation

  • Ludmila Fadejeva & Aleksejs Melihovs, 2009. "Measuring Total Factor Productivity and Variable Factor Utilisation: Sector Approach, The Case of Latvia," Working Papers 2009/03, Latvijas Banka.
  • Handle: RePEc:ltv:wpaper:200903
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    References listed on IDEAS

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    Cited by:

    1. Konstantins Benkovskis & Ludmila Fadejeva & Julia Wörz, 2013. "How Important Is Total Factor Productivity for Growth in Central, Eastern and Southeastern European Countries?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 8-27.
    2. Tomáš Volek & Martina Novotná, 2015. "Gross Value Added and Total Factor Productivity In Czech Sectors," Contemporary Economics, University of Finance and Management in Warsaw, vol. 9(1), April.

    More about this item

    Keywords

    Total Factor Productivity; Solow residual; factor utilisation;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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