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Modeling technology and technological change in manufacturing: how do countries differ?

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  • Eberhardt, Markus
  • Teal, Francis

Abstract

In this paper we ask how technological differences in manufacturing across countries can best be modeled when using a standard production function approach. We show that it is important to allow for differences in technology as measured by differences in parameters. Of similar importance are time-series properties of the data and the role of dynamic processes, which can be thought of as aspects of technological change. Regarding the latter we identify both an element that is common across all countries and a part which is country-specific. The estimator we develop, which we term the Augmented Mean Group estimator (AMG), is closely related to the Mean Group version of the Pesaran (2006) Common Correlated Effects estimator. Once we allow for parameter heterogeneity and the underlying time-series properties of the data we are able to show that the parameter estimates from the production function are consistent with information on factor shares.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 10690.

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Date of creation: Apr 2008
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Handle: RePEc:pra:mprapa:10690
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Keywords: Manufacturing Production; Parameter Heterogeneity; Nonstationary Panel Econometrics; Cross-section Dependence;

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Find related papers by JEL classification:
  • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
  • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
  • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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  1. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
  2. Basu, Susanto & Fernald, John G., 1995. "Are apparent productive spillovers a figment of specification error?," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 165-188, August.
  3. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
  4. Banerjee, Abhijit V & Newman, Andrew F, 1993. "Occupational Choice and the Process of Development," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 274-98, April.
  5. Steve Bond & Asli Leblebicioglu & Fabio Schiantarelli, 2010. "Capital accumulation and growth: a new look at the empirical evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1073-1099, November/.
  6. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
  7. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  8. George Kapetanios & M. Hashem Pesaran & Takashi Yamagata, 2006. "Panels with Nonstationary Multifactor Error Structures," CESifo Working Paper Series 1788, CESifo Group Munich.
  9. repec:vic:vicddp:9802 is not listed on IDEAS
  10. Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
  11. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
  12. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
  13. Costantini, Mauro & Destefanis, Sergio, 2009. "Cointegration analysis for cross-sectionally dependent panels: The case of regional production functions," Economic Modelling, Elsevier, vol. 26(2), pages 320-327, March.
  14. M. Hashem Pesaran & Elisa Tosetti, 2011. "Large panels with common factors and spatial correlation," Post-Print peer-00796743, HAL.
  15. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-70, Special I.
  16. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May.
  17. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
  18. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(03), pages 597-625, June.
  19. Måns Söderbom & Francis Teal, 2004. "Size and Efficiency in African Manufacturing Firms:Evidence from Firm-Level Panel Data," Development and Comp Systems 0409010, EconWPA.
  20. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, 07.
  21. Steve Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  22. Durlauf,S.N. & Kourtellos,A. & Minkin,A., 2000. "The local Solow growth model," Working papers 21, Wisconsin Madison - Social Systems.
  23. Belton Fleisher & Haizheng Li & Min Qiang Zhao, 2007. "Human Capital, Economic Growth, and Regional Inequality in China," William Davidson Institute Working Papers Series wp857, William Davidson Institute at the University of Michigan.
  24. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, 07.
  25. Vasilis Sarafidis & Tom Wansbeek, 2012. "Cross-Sectional Dependence in Panel Data Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 483-531, September.
  26. Roberto Basile & Mauro Costantini & Sergio Destefanis, 2005. "Unit root and cointegration tests for cross-sectionally correlated panels. Estimating regional production functions," CELPE Discussion Papers 94, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
  27. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
  28. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2004. "Unobserved Heterogeneity in Panel Time Series Models," Birkbeck Working Papers in Economics and Finance 0403, Birkbeck, Department of Economics, Mathematics & Statistics.
  29. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
  30. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo Group Munich.
  31. Eberhardt, Markus & Teal, Francis, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," MPRA Paper 15813, University Library of Munich, Germany.
  32. Peter C.B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Cowles Foundation Discussion Papers 1222, Cowles Foundation for Research in Economics, Yale University.
  33. Peter Pedroni, 2007. "Social capital, barriers to production and capital shares: implications for the importance of parameter heterogeneity from a nonstationary panel approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 429-451.
  34. repec:att:wimass:9419 is not listed on IDEAS
  35. M. Hashem Pesaran & Elisa Tosetti, 2011. "Large panels with common factors and spatial correlation," Post-Print hal-00796743, HAL.
  36. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
  37. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
  38. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  39. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  40. Jones, Charles I, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, MIT Press, vol. 110(2), pages 495-525, May.
  41. Westerlund, Joakim, 2006. "Testing for panel cointegration with a level break," Economics Letters, Elsevier, vol. 91(1), pages 27-33, April.
  42. Kao, Chihwa & Chiang, Min-Hsien & Chen, Bangtian, 1999. " International R&D Spillovers: An Application of Estimation and Inference in Panel Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 691-709, Special I.
  43. Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
  44. Chudik, A. & Pesaran, M.H. & Tosetti, E., 2009. "Weak and Strong Cross Section Dependence and Estimation of Large Panels," Cambridge Working Papers in Economics 0924, Faculty of Economics, University of Cambridge.
  45. Jushan Bai & Chihwa Kao & Serena Ng, 2007. "Panel Cointegration with Global Stochastic Trends," Center for Policy Research Working Papers 90, Center for Policy Research, Maxwell School, Syracuse University.
  46. David E. Rapach, 2002. "Are Real GDP Levels Nonstationary? Evidence from Panel Data Tests," Southern Economic Journal, Southern Economic Association, vol. 68(3), pages 473-495, January.
  47. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
  48. Durlauf,S.N. & Quah,D.T., 1998. "The new empirics of economic growth," Working papers 3, Wisconsin Madison - Social Systems.
  49. Peter Pedroni & David Canning, 2004. "The Effect of Infrastructure on Long Run Economic Growth," Department of Economics Working Papers 2004-04, Department of Economics, Williams College.
  50. Azariadis, Costas & Drazen, Allan, 1990. "Threshold Externalities in Economic Development," The Quarterly Journal of Economics, MIT Press, vol. 105(2), pages 501-26, May.
  51. Bernard, A.B. & Jones, C.I., 1993. "Productivity Across Industries and Countries: Time Series Theory and Evidence," Working papers 93-17, Massachusetts Institute of Technology (MIT), Department of Economics.
  52. Kevin M. Murphy & Andrei Shleifer & Robert W. Vishny, 1988. "Industrialization and the Big Push," NBER Working Papers 2708, National Bureau of Economic Research, Inc.
  53. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-47, February.
  54. Jim Malley & Anton Muscatelli & Ulrich Woitek, 2003. "Some new international comparisons of productivity performance at the sectoral level," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(1), pages 85-104.
  55. Elhanan Helpman & David T. Coe, 1993. "International RandD Spillovers," IMF Working Papers 93/84, International Monetary Fund.
  56. Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November.
  57. Peter C.B. Phillips & Hyungsik R. Moon, 1999. "Nonstationary Panel Data Analysis: An Overview of Some Recent Developments," Cowles Foundation Discussion Papers 1221, Cowles Foundation for Research in Economics, Yale University.
  58. G. Kapetanios & M. Hashem Pesaran & T. Yamagata, 2010. "Panels with nonstationary multifactor error structures," Post-Print peer-00768190, HAL.
  59. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
  60. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, 02.
  61. David T. Coe & Elhanan Helpman & Alexander Hoffmaister, 1995. "North-South R&D Spillovers," NBER Working Papers 5048, National Bureau of Economic Research, Inc.
  62. Liu, Zhenjuan & Stengos, Thanasis, 1999. "Non-linearities in Cross-Country Growth Regressions: A Semiparametric Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 527-38, Sept.-Oct.
  63. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-84, Oct.-Dec..
  64. Larson, David F. & Butzer, Rita & Mundlak, Yair & Crego, Al, 2000. "A Cross-Country Database for Sector Investment and Capital," World Bank Economic Review, World Bank Group, vol. 14(2), pages 371-91, May.
  65. Funk, Mark & Strauss, Jack, 2003. "Panel tests of stochastic convergence: TFP transmission within manufacturing industries," Economics Letters, Elsevier, vol. 78(3), pages 365-371, March.
  66. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
  67. Paul Gomme & Peter Rupert, 2004. "Measuring labor’s share of income," Policy Discussion Papers, Federal Reserve Bank of Cleveland, issue Nov.
  68. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
  69. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-23, March.
  70. Lee, Kevin & Pesaran, M Hashem & Smith, Ron, 1997. "Growth and Convergence in Multi-country Empirical Stochastic Solow Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(4), pages 357-92, July-Aug..
  71. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, 06.
  72. repec:chb:bcchwp:03 is not listed on IDEAS
  73. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  74. Francesco Moscone & Elisa Tosetti, 2009. "A Review And Comparison Of Tests Of Cross-Section Independence In Panels," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 528-561, 07.
  75. Vollrath, Dietrich, 2009. "How important are dual economy effects for aggregate productivity?," Journal of Development Economics, Elsevier, vol. 88(2), pages 325-334, March.
  76. Granger, Clive W J, 1997. "On Modelling the Long Run in Applied Economics," Economic Journal, Royal Economic Society, vol. 107(440), pages 169-77, January.
  77. Bond, Stephen Roy & Hoeffler, Anke & Temple, Jonathan, 2001. "GMM Estimation of Empirical Growth Models," CEPR Discussion Papers 3048, C.E.P.R. Discussion Papers.
  78. Patrik T. Hultberg & M. Ishaq Nadiri & Robin C. Sickles, 2004. "Cross-country catch-up in the manufacturing sector: Impacts of heterogeneity on convergence and technology adoption," Empirical Economics, Springer, vol. 29(4), pages 753-768, December.
  79. Kevin F. Ryan & David E. A. Giles, 1998. "Testing for Unit Roots With Missing Observations," Econometrics Working Papers 9802, Department of Economics, University of Victoria.
  80. David Canning & Peter Pedroni, 2008. "Infrastructure, Long-Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, 09.
  81. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
  82. Klenow, Peter J. & Rodriguez-Clare, Andres, 1997. "Economic growth: A review essay," Journal of Monetary Economics, Elsevier, vol. 40(3), pages 597-617, December.
  83. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-38, December.
  84. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, 07.
  85. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. " Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-89, September.
  86. Durlauf, Steven N, 1993. "Nonergodic Economic Growth," Review of Economic Studies, Wiley Blackwell, vol. 60(2), pages 349-66, April.
  87. Durlauf, Steven N., 2001. "Manifesto for a growth econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 65-69, January.
  88. Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
  89. Jerry Coakley, Ana-Maria Fuertes, Ron Smith, 2001. "Small sample properties of panel time-series estimators with I(1) errors," Computing in Economics and Finance 2001 191, Society for Computational Economics.
  90. Hanck, Christoph, 2008. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," MPRA Paper 11988, University Library of Munich, Germany.
  91. Joakim Westerlund & David L. Edgerton, 2008. "A Simple Test for Cointegration in Dependent Panels with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(5), pages 665-704, October.
  92. Michael Clemens & Samuel Bazzi, 2009. "Blunt Instruments: On Establishing the Causes of Economic Growth," Working Papers 171, Center for Global Development.
  93. G. Kapetanios & M. Hashem Pesaran & T. Yamagata, 2010. "Panels with nonstationary multifactor error structures," Post-Print hal-00768190, HAL.
  94. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
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