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Bilateral FDI potentials for Austria

  • Peter Egger

    ()

Trade economists have for long considered gravity models to estimate unexhausted potentials for bilateral trade. Similar to the discrepancy between "normal" and "actual" bilateral trade, one may ask the question about the difference between "normal" and actual bilateral multinational activity. However, with multinational activity, zero bilateral data and heteroscedasticity are very important, even more so than with trade data. Therefore, this paper suggests using generalized linear rather than log-linear models to specify "normal" FDI and obtain estimates of unexhausted FDI potentials. I use panel data on Austria?s bilateral multinational activity across 25 countries and 7 country-blocs, 4 sectors and 13 years to illustrate the disadvantage of log-linear model estimation at quasi-maximum likelihood estimation.

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File URL: http://hdl.handle.net/10.1007/s10663-009-9116-5
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Article provided by Springer in its journal Empirica.

Volume (Year): 37 (2010)
Issue (Month): 1 (February)
Pages: 5-17

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Handle: RePEc:kap:empiri:v:37:y:2010:i:1:p:5-17
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  1. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, 1.
  2. Brenton, Paul & DiMauro, Francesca & Lücke, Matthias, 1998. "Economic integration and FDI: an empirical analysis of foreign investment in the EU and in Central and Eastern Europe," Kiel Working Papers 890, Kiel Institute for the World Economy.
  3. Felbermayr, Gabriel & Kohler, Wilhelm K., 2006. "Exploring the intensive and extensive margins of world trade," Munich Reprints in Economics 20610, University of Munich, Department of Economics.
  4. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
  5. Joao Santos Silva & Silvana Tenreyro, 2005. "The log of gravity," LSE Research Online Documents on Economics 3744, London School of Economics and Political Science, LSE Library.
  6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  7. repec:lmu:muenar:20646 is not listed on IDEAS
  8. James E. Anderson & Eric van Wincoop, 2000. "Gravity with Gravitas: A Solution to the Border Puzzle," Boston College Working Papers in Economics 485, Boston College Department of Economics.
  9. Bergstrand, Jeffrey H. & Egger, Peter, 2007. "A knowledge-and-physical-capital model of international trade flows, foreign direct investment, and multinational enterprises," Journal of International Economics, Elsevier, vol. 73(2), pages 278-308, November.
  10. Markusen, James R., 2002. "Multinational Firms and the Theory of International Trade," MPRA Paper 8380, University Library of Munich, Germany.
  11. Elhanan Helpman & Marc Melitz & Yona Rubinstein, 2007. "Estimating Trade Flows: Trading Partners and Trading Volumes," NBER Working Papers 12927, National Bureau of Economic Research, Inc.
  12. Peter Egger & Mario Larch & Kevin E. Staub & Rainer Winkelmann, 2010. "The Trade Effects of Endogenous Preferential Trade Agreements," CESifo Working Paper Series 3253, CESifo Group Munich.
  13. Elhanan Helpman & Marc Melitz & Yona Rubinstein, 2008. "Estimating Trade Flows: Trading Partners and Trading Volumes," The Quarterly Journal of Economics, Oxford University Press, vol. 123(2), pages 441-487.
  14. Dupasquier, Chantal & Osakwe, Patrick N., 2006. "Foreign direct investment in Africa: Performance, challenges, and responsibilities," Journal of Asian Economics, Elsevier, vol. 17(2), pages 241-260, April.
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