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The UNIDO World Productivity Database: An Overview

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  • Anders Isaksson

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    Abstract

    This article introduces a new unique database, the World Productivity Database (WPD), which contains information on levels and growth of aggregate total factor productivity (TFP) for up to 112 countries, covering the period 1960 to 2000. At its core are numerous measurement methods, variations in functional forms and specifications — including schooling and health — of the production function, constant and variable returns to scale, as well as measures of technical progress and change in technical efficiency. In addition, five labour and four capital stock measures are used to derive a variety of TFP measures. Another significant feature is TFP forecasts for the period of 2001-2010.

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    File URL: http://www.csls.ca/ipm/18/IPM-18-Isaksson.pdf
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    Bibliographic Info

    Article provided by Centre for the Study of Living Standards in its journal International Productivity Monitor.

    Volume (Year): 18 (2009)
    Issue (Month): (Spring)
    Pages: 38-50

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    Handle: RePEc:sls:ipmsls:v:18:y:2009:3

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    Related research

    Keywords: Productivity; total factor productivity; labour input; capital input; cross-country comparison;

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    1. Crego, Al & Larson, Donald & Butzer, Rita & Mundlak, Yair, 1998. "A new database on investment and capital for agriculture and manufacturing," Policy Research Working Paper Series 2013, The World Bank.
    2. Marcel Timmer & Bart Los, 2005. "Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach," Journal of Productivity Analysis, Springer, vol. 23(1), pages 47-64, 01.
    3. Leamer, Edward E, 1988. "The Sensitivity of International Comparisons of Capital Stock Measures to Different "Real" Exchange Rates," American Economic Review, American Economic Association, vol. 78(2), pages 479-83, May.
    4. Robert E. Hall & Charles I. Jones, 1999. "Why Do Some Countries Produce So Much More Output per Worker than Others?," NBER Working Papers 6564, National Bureau of Economic Research, Inc.
    5. Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects," European Journal of Operational Research, Elsevier, vol. 80(3), pages 474-499, February.
    6. Charles R. Hulten & Anders Isaksson, 2007. "Why Development Levels Differ: The Sources of Differential Economic Growth in a Panel of High and Low Income Countries," NBER Working Papers 13469, National Bureau of Economic Research, Inc.
    7. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    8. Francisco Rodríguez & Daniel Ortega, 2006. "Are capital shares higher in poor countries? Evidence from Industrial Surveys," Wesleyan Economics Working Papers 2006-023, Wesleyan University, Department of Economics.
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    Cited by:
    1. Maria Cipollina & Giorgia Giovannetti & Filomena Pietrovito & Alberto Franco Pozzolo, 2011. "FDI and Growth: What Cross-Country Industry Data Say," Development Working Papers 313, Centro Studi Luca d\'Agliano, University of Milano.
    2. Pietrovito, Filomena & Pozzolo, Alberto Franco & Salvatici, Luca, 2012. "Exports vs. foreign direct investment: evidence from cross-country industry data," Economics & Statistics Discussion Papers esdp12064, University of Molise, Dept. EGSeI.
    3. Douglas Gollin & Fabian Lange, 2013. "Equipping immigrants: migration flows and capital movements in small open economies," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 149(4), pages 749-777, December.
    4. Filomena Pietrovito & Alberto Franco Pozzolo & Luca Salvatici, 2013. "Internationalization choices: an ordered probit analysis at industry-level," Development Working Papers 349, Centro Studi Luca d\'Agliano, University of Milano, revised 24 Apr 2013.

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