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Republic of Estonia: Selected Issues

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  • International Monetary Fund

Abstract

This Selected Issues paper on the Republic of Estonia underlies gross and net international investment positions. Capital gains have been exceptionally beneficial to Malta’s external position, but have significantly worsened Estonia’s NIIP, and to a lesser degree, positions in Hungary and Slovenia. In examining the economic and institutional composition of gross international investment positions, the differences between those in Cyprus and Malta, and in the other new member states is stark. Greater financial integration is associated with greater economic openness, but the influence of levels of economic development is mixed.

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  • International Monetary Fund, 2005. "Republic of Estonia: Selected Issues," IMF Staff Country Reports 2005/395, International Monetary Fund.
  • Handle: RePEc:imf:imfscr:2005/395
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    References listed on IDEAS

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    1. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    2. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
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