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Autor
Growiec Jakub (Warsaw School of Economics, Poland; National Bank of Poland)
Tytuł
On the Measurement of Technological Progress Across Countries
Źródło
Bank i Kredyt, 2013, nr 5, s. 467-504, aneks, bibliogr. 52 poz.
Słowa kluczowe
Postęp technologiczny, Pomiary, Metoda DEA (analiza obwiedni danych), Produktywność siły roboczej
Technological progress, Measurement, Data Envelopment Analysis (DEA), Labour productivity
Uwagi
summ.
Kraj/Region
Kraje OECD
OECD countries
Abstrakt
The article considers 22 alternative empirical measures of country-level "technological progress", computed for 19 highly developed OECD countries over the period 1970-2000 based on (i) the neoclassical growth accounting approach that adopts the Cobb-Douglas production function specification, (ii) a nonparametric approach where the world technology frontier (WTF) is constructed with Data Envelopment Analysis, and (iii) a "hybrid" approach that combines the two. Measures of TFP growth (capturing all output gains actually obtained in a given country that cannot be traced back to factor accumulation) are carefully distinguished from measures of technical change (capturing only technological progress shifting the WTF). Empirical properties of all 22 measures are compared according to a range of characteristics frequently discussed in the macroeconomic literature. The conclusion is that the choice of appropriate measurement methodology should be suited to the question addressed in each specific study, the simple growth accounting approach is generally insufficient, and particular attention should be paid to the empirical treatment of technical efficiency changes. The results are also sensitive to the precision of WTF estimation. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Szkoły Głównej Handlowej w Warszawie
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Biblioteka Główna Uniwersytetu Ekonomicznego we Wrocławiu
Pełny tekst
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Bibliografia
Pokaż
  1. Antràs P. (2004), Is the U.S. aggregate production function Cobb-Douglas? New estimates of the elasticity of substitution, Contributions to Macroeconomics, 4(1), 1-34.
  2. Badunenko O., Henderson D.J., Russell R.R. (2009), Bias-corrected production frontiers: application to productivity growth and convergence, University of California Riverside, unpublished.
  3. Badunenko O., Henderson D.J., Zelenyuk V. (2008), Technological change and transition: relative contributions to worldwide growth during the 1990's, Oxford Bulletin of Economics and Statistics, 70(4), 461-492.
  4. Banker R.D. (1996), Hypothesis testing using Data Envelopment Analysis, Journal of Productivity Analysis, 7, 139-159.
  5. Banker R.D., Charnes A., Cooper W.W. (1984), Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis, Management Science, 30, 1078-1092.
  6. Barro R.J., Lee J.-W. (2001), International data on educational attainment: updates and implications, Oxford Economic Papers, 53(3), 541-563.
  7. Basu S., Weil D.N. (1998), Appropriate technology and growth, Quarterly Journal of Economics, 113(4), 1025-1054.
  8. van Biesebroeck J. (2007), Robustness of productivity estimates, Journal of Industrial Economics, 55(3), 529-569.
  9. Bos J.W.B., Economidou C., Koetter M., Kolari J.W. (2010), Do all countries grow alike?, Journal of Development Economics, 91, 113-127.
  10. Burda M., Severgnini B. (2008), Solow residuals without capital stocks, SFB 649 Discussion Paper 2008-040, Humboldt University, Berlin.
  11. Caselli F. (2005), Accounting for cross-country income differences, in: P. Aghion, S. Durlauf (eds.), Handbook of economic growth, Elsevier, Amsterdam.
  12. Caselli F., Coleman W.J. (2006), The world technology frontier, American Economic Review, 96(3), 499-522.
  13. Charnes A., Cooper W.W., Rhodes E. (1978), Measuring the efficiency of decision-making units, European Journal of Operational Research, 2, 429-444.
  14. Chirinko R.S. (2008), σ: the long and short of it, Journal of Macroeconomics, 30(2), 671-686.
  15. Coelli T.J., Rao D.S.P., O'Donnell C.J., Battese G.E. (2005), An introduction to efficiency and productivity analysis, Springer, New York.
  16. Cohen D., Soto M. (2007), Growth and human capital: good data, good results, Journal of Economic Growth, 12(1), 51-76.
  17. Daskovska A., Simar L., Van Bellegem S. (2010), Forecasting the Malmquist productivity index, Journal of Productivity Analysis, 33, 97-107.
  18. Duffy J., Papageorgiou C. (2000), The specification of the aggregate production function: a cross- -country empirical investigation, Journal of Economic Growth, 5, 83-116.
  19. Färe R., Grosskopf S., Noriss M., Zhang Z. (1994), Productivity growth, technical progress, and efficiency change in industrialized countries, American Economic Review, 84(1), 66-83.
  20. Färe R., Primont D. (1995), Multi-output production and duality: theory and applications, Kluwer, Dordrecht.
  21. de la Fuente A., Doménech R. (2006), Human capital in growth regressions: How much difference does data quality make?, Journal of the European Economic Association, 4(1), 1-36.
  22. Growiec J. (2012), The world technology frontier: What can we learn from the US states?, Oxford Bulletin of Economics and Statistics, 74(6), 777-807.
  23. Growiec J., Pajor A., Pelle D., Prędki A. (2011), The shape of aggregate production functions: evidence from estimates of the world technology frontier, NBP Working Paper, 102, National Bank of Poland, Warsaw.
  24. Hall R.E., Jones C.I. (1999), Why do some countries produce so much more output per worker than others?, Quarterly Journal of Economics, 114(1), 83-116.
  25. Henderson D.J., Russell R.R. (2005), Human capital and convergence: a production-frontier approach, International Economic Review, 46(4), 1167-1205.
  26. Heston A., Summers R., Aten B. (2006), Penn World Table version 6.2, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania.
  27. Jerzmanowski M. (2007), Total factor productivity differences: appropriate technology vs. efficiency, European Economic Review, 51, 2080-2110.
  28. Jorgenson D.W. (1995), Productivity. Volume 2: International comparisons of economic growth, MIT Press, Massachusetts.
  29. Klump R., McAdam P., Willman A. (2007), Factor substitution and factor augmenting technical progress in the US: a normalized supply-side system approach, Review of Economics and Statistics, 89(1), 183-192.
  30. Kneip A., Simar L., Wilson P.W. (2008), Asymptotics of DEA estimators in non-parametric frontier models, Econometric Theory, 24, 1663-1697.
  31. Koop G., Osiewalski J., Steel M.F.J. (1999), The components of output growth: a stochastic frontier analysis, Oxford Bulletin of Economics and Statistics, 61(4), 455-487.
  32. Koop G., Osiewalski J., Steel M.F.J. (2000), Measuring the sources of output growth in a panel of countries, Journal of Business and Economic Statistics, 18(3), 284-299.
  33. Kumar S., Russell R.R. (2002), Technological change, technological catch-up, and capital deepening: relative contributions to growth and convergence, American Economic Review, 92(3), 527-548.
  34. Kumbhakar S.C., Lovell C.A.K. (2000), Stochastic frontier analysis, Cambridge University Press, Cambridge.
  35. Kydland F.E., Prescott E.C. (1982), Time to build and aggregate fluctuations, Econometrica, 50(6), 1345-1370.
  36. León-Ledesma M., McAdam P., Willman A. (2010), Identifying the aggregate elasticity of substitution with biased technical change, American Economic Review, 100(4), 1330-1357.
  37. Maudos J., Pastor J.M., Serrano L. (2000), Convergence in OECD countries: technical change, efficiency and productivity, Applied Economics, 32, 757-765.
  38. O'Donnell C.J. (2009), An aggregate quantity-price framework for measuring and decomposing productivity and profitability change, CEPA Working Paper, WP072008, University of Queensland.
  39. OECD (2009), Measuring capital. OECD manual, OECD, Paris.
  40. Pandey M. (2008), Human capital aggregation and relative wages across countries, Journal of Macroeconomics, 30(4), 1587-1601.
  41. Psacharopoulos G. (1994), Returns to investment in education: a global update, World Development, 22, 1325-1343.
  42. Raa T. (2005), Debreu's coefficient of resource utilization, the Solow residual, and TFP: the connection by Leontief preferences, Journal of Productivity Analysis, 30, 191-199.
  43. Raa T., Mohnen P. (2002), Neoclassical growth accounting and frontier analysis: a synthesis, Journal of Productivity Analysis, 18, 111-128.
  44. Raa T., Shestalova V. (2011), The Solow residual, domar aggregation, and inefficiency: a synthesis of TFP measures, Journal of Productivity Analysis, 36, 71-77.
  45. Ray S.C., Desli E. (1997), Productivity growth, technical progress, and efficiency change in industrialized countries: comment, American Economic Review, 87(5), 1033-1039.
  46. Simar L., Wilson P.W. (2000), A general methodology for bootstrapping in non-parametric frontier models, Journal of Applied Statistics, 27(6), 779-802.
  47. Simar L., Wilson P.W. (2002), Non-parametric tests of returns to scale, European Journal of Operational Research, 139, 115-132.
  48. Solow R.M. (1957), Technical change and the aggregate production function, Review of Economics and Statistics, 39, 312-320.
  49. Timmer M.P., Ypma G., van Ark B. (2003), IT in the European Union: driving productivity divergence?, Research Memorandum, GD-67, http://www.elibrary.lt/resursai/ES/memorandumai/gd67.pdf.
  50. Turner C., Tamura R., Mulholland S.E. (2008), How important are human capital, physical capital and total factor productivity for determining state economic growth in the United States: 1840- 2000?, Nicholls State University, unpublished.
  51. Turner C., Tamura R., Mulholland S.E., Baier S. (2007), Income and education of the states of the United States: 1840-2000, Journal of Economic Growth, 12(2), 101-158.
  52. Zofio J.L. (2007), Malmquist productivity index decompositions: a unifying framework, Applied Economics, 39, 2371-2387.
Cytowane przez
Pokaż
ISSN
0137-5520
Język
eng
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