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Recent Data Work at the Groningen Growth and Development Centre Complementing PWT with capital (global, 1980) 10-Sector database (global, 10 sector, 1950) Historical national accounts (global, 10 sector, 1870-1950) EU KLEMS Growth Accounts (OECD, 30 sector, 1970)

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Recent data work at the groningen growth and development centre l.jpg
Recent Data Work at the Groningen Growth and Development Centre

  • Complementing PWT with capital (global, 1980)

  • 10-Sector database (global, 10 sector, 1950)

  • Historical national accounts (global, 10 sector, 1870-1950)

  • EU KLEMS Growth Accounts (OECD, 30 sector, 1970)

  • EU KLEMS Level Accounts (OECD, 30 sector, 1997)

  • World Input-Output Database (global, 30 sector, 1995):

    • International trade flows

    • National Supply and Use Tables

    • Environmental accounts

    • Socio-economic accounts


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INDUSTRY PRODUCTIVITY LEVELSby Robert Inklaarand Marcel P. Timmer Groningen Growth and Development CentreUniversity of Groningen

The EU KLEMS project is funded by the European Commission, Research Directorate General as part of the 6th Framework Programme, Priority 8, "Policy Support and Anticipating Scientific and Technological Needs".


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Motivation

  • Complementing EU KLEMS Growth and Productivity Accounts

  • Industry perspective

  • Why are levels interesting?

    • Explaining differences in output (per hour) across countries

    • Competitiveness (unit labour costs)

    • Measure of technology: distance to the frontier

    • Differences in input use (ICT, skills, energy, business services)


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Coverage

  • For benchmark year 1997

  • 28 industries plus aggregates as in EU KLEMS

  • 30 countries as in EU KLEMS

  • Extrapolation possible with EU KLEMS


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WHAT’S NEW?

  • Long tradition GGDC and NIESR (single deflated labour productivity mostly). This data set provides

    • Multilateral KLEMS type comparisons

    • More countries and industries covering whole economy

    • Mix of production and expenditure PPPs

  • Methodology for multilateral MFP from Jorgenson and Nishimizu (1978) and CCD (1982).

    • Primal approach to retain consistent breakdown of real GDP

    • Add sectoral output and intermediate inputs measures which allow aggregation across industries


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Methodology

  • Labour productivity

  • Multi factor productivity


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Nominal Data

  • National Supply and Use tables, transformed into industry-by-industry IOT (45 industries) at basic prices

  • Normalized on EU KLEMS value added and gross output

  • Breakdown of intermediate inputs into domestic E,M,S and imports

  • Breakdown of value added into

    • labour compensation (30 types)

    • capital compensation (8 types) and profit



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Price Data in car manufacturing

  • Two alternative sets for output PPPs

    • OECD/Eurostat PPPs for expenditure categories

      • Expenditure prices, incl margins / net taxes / imports, excl exports

      • Based on specified prices

    • GGDC PPPs from production side

      • Producer output prices, incl exports

      • Based on unit value ratios

  • Mix of both is ideal

    • PPP-O: agriculture / mining / utilities / manufacturing (partly) / communication / transport / trade

    • PPP-E: manu (partly) / construction / finance / business services / personal services


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Price Data (2) in car manufacturing

  • Intermediate input PPPs based on output PPPs weighted with shares in total intermediate input.

  • Labour PPPs based on relative wages (5x2x3 types)

  • Capital PPPs based on relative rental prices (8 types)

  • Non-market services: Implicit output PPP based on input PPPs such that MFP=1


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Some Results in car manufacturing

  • FIG 1 Value added per hour worked, 2005, US=1

  • FIG 2 Sensitivity of LP:

    • Single versus double deflation of value added

    • Set of output PPPs (expenditure PPPs versus mix)

  • FIG 3 ICT and Non-ICT capital services per hour worked, 1997

  • FIG 4 MFP, 2005, US=1




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FIG 2 Sensitivity of LP in car manufacturing


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FIG 2 Sensitivity of LP in car manufacturing




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Concluding remarks 1997, market economy

  • Industry level accounts are feasible

  • Importance of sectoral output measures

  • Further research

    • DATA

      • Hours worked

      • Intangibles

      • Recent benchmark year

    • METHOD

      • Ex-ante measures of capital and loss of duality

      • Time-space consistency with more benchmarks

      • CCD and heterogeneity: role for MST?

      • More data, more noise?


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