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Within and Between Panel Cointegration in the German Regional Output-Trade-FDI Nexus

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  • Timo Mitze

Abstract

For spatial data with a sufficiently long time dimension, the concept of global cointegration has been recently included in the econometrics research agenda. Global cointegration arises when non-stationary time series are cointegrated both within and between spatial units. In this paper, we analyze the role of globally cointegrated variable relationships using German regional data (NUTS 1 level) for GDP, trade, and FDI activity during the period 1976-2005. Applying various homogeneous and heterogeneous panel data estimators to a Spatial Panel Error Correction Model (SpECM) for regional output growth allows us to analyze the short- and long-run impacts of internationalization activities. For the long-run cointegration equation, the empirical results support the hypothesis of export- and FDI-led growth. We also show that for export and outward FDI activity positive cross-regional effects are at work. Likewise, in the short-run SpECM specification, direct and indirect spatial externalities are found to be present. As a sensitivity analysis, we use a spatial weighting matrix based on interregional goods transport flows rather than geographical distances. This scheme thus allows us to address more soundly the role of positive and negative effects of trade/FDI on output activity for a system of interconnected regions.

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  • Timo Mitze, 2011. "Within and Between Panel Cointegration in the German Regional Output-Trade-FDI Nexus," ERSA conference papers ersa11p1258, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa11p1258
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    1. Feenstra, Robert C., 1996. "Trade and uneven growth," Journal of Development Economics, Elsevier, vol. 49(1), pages 229-256, April.
    2. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    3. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," MPRA Paper 11569, University Library of Munich, Germany, revised Nov 2008.
    4. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    5. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    6. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
    7. Martin, Philippe & Ottaviano, Gianmarco I P, 2001. "Growth and Agglomeration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 947-968, November.
    8. 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.
    9. 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.
    10. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    11. James G. MacKinnon, 2002. "Bootstrap inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 35(4), pages 615-645, November.
    12. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    13. Timo Mitze, 2012. "Empirical Modelling in Regional Science," Lecture Notes in Economics and Mathematical Systems, Springer, edition 127, number 978-3-642-22901-5, December.
    14. Hans-Friedrich Eckey & Reinhold Kosfeld & Matthias Türck, 2007. "Regionale Entwicklung mit und ohne räumliche Spillover-Effekte," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 27(1), pages 23-42, February.
    15. Edwards, Sebastian, 1998. "Openness, Productivity and Growth: What Do We Really Know?," Economic Journal, Royal Economic Society, vol. 108(447), pages 383-398, March.
    16. 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.
    17. Niebuhr, Annekatrin, 2000. "Raumliche Wachstumszusammenhange - Empirische Befunde Fur Deutschland," Discussion Paper Series 26191, Hamburg Institute of International Economics.
    18. Baltagi, Badi H. & Egger, Peter & Pfaffermayr, Michael, 2007. "Estimating models of complex FDI: Are there third-country effects?," Journal of Econometrics, Elsevier, vol. 140(1), pages 260-281, September.
    19. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "Economic Integration and Endogenous Growth," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 1, pages 3-32, World Scientific Publishing Co. Pte. Ltd..
    20. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    21. Richard E. Baldwin & Philippe Martin & Gianmarco I. P. Ottaviano, 2021. "Global Income Divergence, Trade, and Industrialization: The Geography of Growth Take-Offs," World Scientific Book Chapters, in: Firms and Workers in a Globalized World Larger Markets, Tougher Competition, chapter 2, pages 25-57, World Scientific Publishing Co. Pte. Ltd..
    22. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "Integration among Unequals," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 4, pages 83-104, World Scientific Publishing Co. Pte. Ltd..
    23. H. Kelejian, Harry & Prucha, Ingmar R., 2001. "On the asymptotic distribution of the Moran I test statistic with applications," Journal of Econometrics, Elsevier, vol. 104(2), pages 219-257, September.
    24. Peter Pedroni, 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(S1), pages 653-670, November.
    25. Henrik Hansen & John Rand, 2006. "On the Causal Links Between FDI and Growth in Developing Countries," The World Economy, Wiley Blackwell, vol. 29(1), pages 21-41, January.
    26. repec:pra:mprapa:13404 is not listed on IDEAS
    27. Blomström, Magnus & Kokko, Ari & Globerman, Steve, 2000. "The Determinants of Host Country Spillovers from Foreign Direct Investment," CEPR Discussion Papers 2350, C.E.P.R. Discussion Papers.
    28. Martin Wagner & Jaroslava Hlouskova, 2010. "The Performance of Panel Cointegration Methods: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 182-223, April.
    29. Salima Bouayad-Agha & Lionel Védrine, 2010. "Estimation Strategies for a Spatial Dynamic Panel using GMM. A New Approach to the Convergence Issue of European Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 205-227.
    30. Michael Beenstock & Daniel Felsenstein, 2010. "Spatial error correction and cointegration in nonstationary panel data: regional house prices in Israel," Journal of Geographical Systems, Springer, vol. 12(2), pages 189-206, June.
    31. James LeSage & R. Kelley Pace, 2010. "Spatial Econometrics," Book Chapters, in: Web Book of Regional Science, Regional Research Institute, West Virginia University.
    32. Magnus Blomström & Ari Kokko & Mario Zejan, 2000. "Foreign Direct Investment," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59861-4, December.
    33. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    34. Shiva S. Makki & Agapi Somwaru, 2004. "Impact of Foreign Direct Investment and Trade on Economic Growth: Evidence from Developing Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 795-801.
    35. Everaert, Gerdie & Pozzi, Lorenzo, 2007. "Bootstrap-based bias correction for dynamic panels," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1160-1184, April.
    36. Fernando A. López & Mariano Matilla‐García & Jesús Mur & Manuel Ruiz Marín, 2011. "Four tests of independence in spatiotemporal data," Papers in Regional Science, Wiley Blackwell, vol. 90(3), pages 663-685, August.
    37. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    38. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    39. Manfred Fischer & Monika Bartkowska & Aleksandra Riedl & Sascha Sardadvar & Andrea Kunnert, 2009. "The impact of human capital on regional labor productivity in Europe," Letters in Spatial and Resource Sciences, Springer, vol. 2(2), pages 97-108, October.
    40. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    41. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    42. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    43. Ozturk, I., 2007. "Foreign Direct Investment – Growht Nexus: A Review of The Recent Literature," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 4(2), pages 79-98.
    44. Chengang Wang & Xiaming Liu & Yingqi Wei, 2004. "Impact of Openness on Growth in Different Country Groups," The World Economy, Wiley Blackwell, vol. 27(4), pages 567-585, April.
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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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