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A Monte Carlo Comparison of Tests for Cointegration in Panel Data

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Abstract

This paper surveys recent developments and provides Monte Carlo comparison on various tests proposed forcointegration in panel data. In particular, tests for two panel models, varying intercepts and varying slopes, and varying intercepts and common slopes are presented from the literature with a total of seven tests being simulated. In all cases, results on empirical size and size-adjusted power are given.

Suggested Citation

  • Suzanne McCoskey & Chihwa Kao, 1999. "A Monte Carlo Comparison of Tests for Cointegration in Panel Data," Center for Policy Research Working Papers 3, Center for Policy Research, Maxwell School, Syracuse University.
  • Handle: RePEc:max:cprwps:3
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    1. Granger, Clive W J, 1997. "On Modelling the Long Run in Applied Economics," Economic Journal, Royal Economic Society, vol. 107(440), pages 169-177, January.
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    9. Shin, Yongcheol, 1994. "A Residual-Based Test of the Null of Cointegration Against the Alternative of No Cointegration," Econometric Theory, Cambridge University Press, vol. 10(1), pages 91-115, March.
    10. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 57-84.
    11. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
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    Cited by:

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    5. Mariam Camarero & Javier Ordóñez & Cecilio Tamarit, 2002. "The Euro-Dollar Exchange Rate: Is it Fundamental?," CESifo Working Paper Series 798, CESifo.
    6. Mariam Camarero & Cecilio Tamarit, 2003. "Estimating exports and imports demand for Manufactured goods: The role of FDI," European Economy Group Working Papers 22, European Economy Group.
    7. Camarero, Mariam & Tamarit, Cecilio, 2002. "A panel cointegration approach to the estimation of the peseta real exchange rate," Journal of Macroeconomics, Elsevier, vol. 24(3), pages 371-393, September.
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    10. Cecilio R. Tamarit Escalona & Estrella Gómez, 2011. "The euro effect on trade: evidence in gravity equations using panel cointegration techniques," Working Papers. Serie EC 2011-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    11. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2000. "Testing for Common Cyclical Features in Nonstationary Panel Data Models," CESifo Working Paper Series 248, CESifo.
    12. Suzanne McCoskey & Chihwa Kao, 1999. "Testing the Stability of a Production Function with Urbanization as a Shift Factor: An Application of Non-Stationary Panel Data Techniques," Center for Policy Research Working Papers 5, Center for Policy Research, Maxwell School, Syracuse University.
    13. Shengli Dai & Yingying Wang & Weimin Zhang, 2022. "The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    14. Camarero, Mariam & Tamarit, Cecilio, 2002. "Oil prices and Spanish competitiveness: A cointegrated panel analysis," Journal of Policy Modeling, Elsevier, vol. 24(6), pages 591-605, October.
    15. Funk, Mark & Strauss, Jack, 2000. "The long-run relationship between productivity and capital," Economics Letters, Elsevier, vol. 69(2), pages 213-217, November.
    16. Gerling, Katja, 2000. "Subsidization and Structural Change in Eastern German Transition: Did Economic Policy Meet Its Objectives?," Kiel Working Papers 998, Kiel Institute for the World Economy (IfW Kiel).
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    More about this item

    JEL classification:

    • 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

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