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Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion

  • Ertur, C.
  • Musolesi, A.

This paper provides an econometric examination of geographic R&D spillovers among countries by focusing on the issue of cross-sectional dependence. By applying several unit root tests, we first show that when the number of lags of the autoregressive component of augmented Dickey Fuller test-type specifications or the number of common factors is estimated in a model selection framework, the variables (total factor productivity and R&D capital stocks) appear to be stationary. Then, we estimate the model using two complementary approaches, focusing on spatial autoregressive errors and unobserved common correlated factors. These approaches account for different types of cross-sectional dependence and are related to the concepts of weak and strong cross-sectional dependence recently developed in the literature.

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File URL: http://www.grenoble.inra.fr/Docs/pub/A2013/gael2013-10.pdf
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Paper provided by Grenoble Applied Economics Laboratory (GAEL) in its series Working Papers with number 2013-09.

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Date of creation: 2013
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Handle: RePEc:gbl:wpaper:2013-09
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  1. Coe, David T & Helpman, Elhanan & Hoffmaister, Alexander, 2008. "International R&D Spillovers and Institutions," CEPR Discussion Papers 6882, C.E.P.R. Discussion Papers.
  2. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.
  3. Jushan Bai & Serena Ng, 2001. "A Panic Attack on Unit Roots and Cointegration," Economics Working Paper Archive 469, The Johns Hopkins University,Department of Economics.
  4. Perron, P., 1994. "Further Evidence on Breaking Trend Functions in Macroeconomic Variables," Cahiers de recherche 9421, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  5. Frantzen, Dirk, 2000. " R&D, Human Capital and International Technology Spillovers: A Cross-Country Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 102(1), pages 57-75, March.
  6. George Kapetanios & M. Hashem Pesaran & Takashi Yamagata, 2006. "Panels with Nonstationary Multifactor Error Structures," Working Papers 569, Queen Mary University of London, School of Economics and Finance.
  7. Coe, D.T. & Helpman, E., 1993. "International R&D Spillovers," Papers 5-93, Tel Aviv.
  8. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
  9. Susanto Basu & David N. Weil, 1996. "Appropriate Technology and Growth," NBER Working Papers 5865, National Bureau of Economic Research, Inc.
  10. M. Hashem Pesaran & Elisa Tosetti, 2011. "Large panels with common factors and spatial correlation," Post-Print hal-00796743, HAL.
  11. Hyungsik Roger MOON & Benoit PERRON, 2002. "Testing For A Unit Root In Panels With Dynamic Factors," Cahiers de recherche 18-2002, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  12. 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.
  13. Luciano Gutierrez, 2003. "Panel Unit Roots Tests for Cross-Sectionally Correlated Panels: A Monte Carlo Comparison," Econometrics 0310004, EconWPA.
  14. Psacharopoulos, George, 1993. "Returns to investment in education : a global update," Policy Research Working Paper Series 1067, The World Bank.
  15. Bruno Van Pottelsberghe & Frank Lichtenberg, 1998. "International R&D spillovers comment," ULB Institutional Repository 2013/6233, ULB -- Universite Libre de Bruxelles.
  16. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
  17. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
  18. Musolesi, Antonio, 2007. "Basic stocks of knowledge and productivity: Further evidence from the hierarchical Bayes estimator," Economics Letters, Elsevier, vol. 95(1), pages 54-59, April.
  19. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR, 2009. "Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model," Working Papers 1546, Orleans Economic Laboratorys, University of Orleans.
  20. Christophe Hurlin, 2010. "What would Nelson and Plosser find had they used panel unit root tests?," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1515-1531.
  21. Krugman, Paul R & Venables, Anthony J, 1995. "Globalization and the Inequality of Nations," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 857-80, November.
  22. 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.
  23. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.
  24. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  25. Sarafidis, Vasilis, 2009. "GMM Estimation of Short Dynamic Panel Data Models With Error Cross-Sectional Dependence," MPRA Paper 25176, University Library of Munich, Germany.
  26. Vasilis Sarafidis & Tom Wansbeek, 2012. "Cross-Sectional Dependence in Panel Data Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 483-531, September.
  27. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
  28. Pesaran, M.H. & Smit, L.V. & Yamagata, T., 2007. "Panel Unit Root Tests in the Presence of a Multifactor Error Structure," Cambridge Working Papers in Economics 0775, Faculty of Economics, University of Cambridge.
  29. 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.
  30. Chihwa Kao & Min-Hsien Chiang & Bangtian Chen, 1999. "International R&D Spillovers: An Application of Estimation and Inference in Panel Cointegration," Center for Policy Research Working Papers 4, Center for Policy Research, Maxwell School, Syracuse University.
  31. Baltagi B-H & Bresson G. & Pirotte A., 2005. "Panel Unit Root Tests and Spatial Dependence," Working Papers ERMES 0503, ERMES, University Paris 2.
  32. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
  33. Markus Eberhardt & Francis Teal, 2010. "Productivity Analysis in Global Manufacturing Production," DEGIT Conference Papers c015_019, DEGIT, Dynamics, Economic Growth, and International Trade.
  34. Pesaran, M.H., 2003. "A Simple Panel Unit Root Test in the Presence of Cross Section Dependence," Cambridge Working Papers in Economics 0346, Faculty of Economics, University of Cambridge.
  35. Eunsuk Hong & Laixiang Sun, 2011. "Foreign Direct Investment and Total Factor Productivity in China: A Spatial Dynamic Panel Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73, pages 771-791, December.
  36. 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.
  37. Engelbrecht, Hans-Jurgen, 1997. "International R&D spillovers, human capital and productivity in OECD economies: An empirical investigation," European Economic Review, Elsevier, vol. 41(8), pages 1479-1488, August.
  38. 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.
  39. 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.
  40. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
  41. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
  42. Markus Eberhardt & Christian Helmers & Hubert Strauss, . "Do Spillovers Matter When Estimating Private Returns to R&D?," Discussion Papers 11/22, University of Nottingham, GEP.
  43. Mastromarco Camilla & Laura Serlenga & Yongcheol Shin, 2013. "Globalisation and technological convergence in the EU," Journal of Productivity Analysis, Springer, vol. 40(1), pages 15-29, August.
  44. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo Group Munich.
  45. Bierens, Herman J., 1997. "Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the US price level and interest rate," Journal of Econometrics, Elsevier, vol. 81(1), pages 29-64, November.
  46. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
  47. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 490-497, August.
  48. Julie Le Gallo & Catherine Baumont & Sandy Dall'erba & Cem Ertur, 2005. "On the property of diffusion in the spatial error model," Applied Economics Letters, Taylor & Francis Journals, vol. 12(9), pages 533-536.
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