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The Cross Sectional Dependence Puzzle

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  • Cerrato, Mario

    (London Guildhall University)

Abstract

The analysis of unit roots and cointegration in panel data is becoming a growing research area. A number of issues have been raised in the literature (see Phillips and Moon 1999 and 2000, Banerjee 2000, Maddala and Wu 1999). The aim of the present paper is to contribute to the issue of cross sectional dependence in non-stationary panel data. We review some of the most recent econometric techniques proposed by the literature to dealing with cross sectional dependence and notice a sort of puzzle. We extend the bootstrap methodology proposed by Maddala and Wu (1999) and apply the resulting test to test for PPP. We find no evidence favouring PPP. Finally, we use Monte Carlo simulation to analyse the size distortion of the bootstrap test presented in this paper. The proposed test presents size distortion only when T = 100.

Suggested Citation

  • Cerrato, Mario, 2002. "The Cross Sectional Dependence Puzzle," Royal Economic Society Annual Conference 2002 42, Royal Economic Society.
    • Handle: RePEc:ecj:ac2002:42
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    Cited by:

    1. Cerrato, Mario & Sarantis, Nicholas, 2008. "Symmetry, proportionality and the purchasing power parity: Evidence from panel cointegration tests," International Review of Economics & Finance, Elsevier, vol. 17(1), pages 56-65.
    2. Shu-Chen Chang, 2008. "Asymmetric cointegration relationship among Asian exchange rates," Economic Change and Restructuring, Springer, vol. 41(2), pages 125-141, June.
    3. Ceyhun Can Ozcan & Ahmet Sahbaz & Ugur Ad?guzel & Saban Nazlioglu, 2014. "The Nature of Shocks to Turkish exchange rates: what panel approach says?," Proceedings of Economics and Finance Conferences 0401591, International Institute of Social and Economic Sciences.
    4. Adiguzel, Ugur & Sahbaz, Ahmet & Ozcan, Ceyhun Can & Nazlioglu, Saban, 2014. "The behavior of Turkish exchange rates: A panel data perspective," Economic Modelling, Elsevier, vol. 42(C), pages 177-185.
    5. Mehmet Balcilar & Rangan Gupta & Chien-Chiang Lee & Godwin Olasehinde-Williams, 2020. "Insurance-growth nexus in Africa," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 335-360, April.
    6. Balcilar, Mehmet & Gupta, Rangan & Lee, Chien-Chiang & Olasehinde-Williams, Godwin, 2020. "Insurance and economic policy uncertainty," Research in International Business and Finance, Elsevier, vol. 54(C).
    7. Honoré Tekam Oumbé & Ronald Djeunankan & Alain Mekia Ndzana, 2023. "Does information and communication technologies affect economic complexity?," SN Business & Economics, Springer, vol. 3(4), pages 1-25, April.

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