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Fully modified estimation with nearly integrated regressors

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I show that the test procedure derived by Campbell and Yogo (2005, Journal of Financial Economics, forthcoming) for regressions with nearly integrated variables can be interpreted as the natural t-test resulting from a fully modified estimation with near-unit-root regressors. This clearly establishes the methods of Campbell and Yogo as an extension of previous unit-root results.

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  • Erik Hjalmarsson, 2006. "Fully modified estimation with nearly integrated regressors," International Finance Discussion Papers 854, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:854
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    1. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2006. "Alternative Procedures for Estimating Vector Autoregressions Identified with Long-Run Restrictions," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 475-483, 04-05.
    2. Alan G. Ahearne & John Ammer & Brian M. Doyle & Linda S. Kole & Robert F. Martin, 2005. "Monetary Policy and House Prices: A Cross-Country Study," Working Papers Central Bank of Chile 344, Central Bank of Chile.
    3. Campbell, John Y. & Yogo, Motohiro, 2006. "Efficient tests of stock return predictability," Journal of Financial Economics, Elsevier, vol. 81(1), pages 27-60, July.
    4. Francis E. Warnock & Veronica C. Warnock, 2005. "International Capital Flows and U.S. Interest Rates," The Institute for International Integration Studies Discussion Paper Series iiisdp103, IIIS.
    5. Jon Faust & Joseph E. Gagnon & Mario Marazzi & Jaime R. Marquez & Robert F. Martin & Trevor A. Reeve & John H. Rogers & Nathan Sheets & Robert J. Vigfusson, 2005. "Exchange rate pass-through to U.S. import prices: some new evidence," International Finance Discussion Papers 833, Board of Governors of the Federal Reserve System (U.S.).
    6. Berger, David W. & Chaboud, Alain P. & Chernenko, Sergey V. & Howorka, Edward & Wright, Jonathan H., 2008. "Order flow and exchange rate dynamics in electronic brokerage system data," Journal of International Economics, Elsevier, vol. 75(1), pages 93-109, May.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Cavanagh, Christopher L. & Elliott, Graham & Stock, James H., 1995. "Inference in Models with Nearly Integrated Regressors," Econometric Theory, Cambridge University Press, vol. 11(5), pages 1131-1147, October.
    9. Wongswan, Jon, 2009. "The response of global equity indexes to U.S. monetary policy announcements," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 344-365, March.
    10. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    11. Phillips, P C B, 1991. "Optimal Inference in Cointegrated Systems," Econometrica, Econometric Society, vol. 59(2), pages 283-306, March.
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    Cited by:

    1. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    2. Erik Hjalmarsson, 2006. "Inference in Long-Horizon Regressions," International Finance Discussion Papers 853, Board of Governors of the Federal Reserve System (U.S.).
    3. Beechey, Meredith & Hjalmarsson, Erik & sterholm, Pr, 2009. "Testing the expectations hypothesis when interest rates are near integrated," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 934-943, May.
    4. Chen Yu-Chin & Rogoff Kenneth, 2012. "Are The Commodity Currencies An Exception To The Rule?," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-28.
    5. repec:nbp:nbpbik:v:47:y:2016:i:6:p:435-462 is not listed on IDEAS
    6. Krzysztof Bartosik & Jerzy Mycielski, 2016. "Dynamika płac a długotrwałe bezrobocie w polskiej gospodarce," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 435-462.
    7. NTUNGILA, Floribert & PINSHI, Christian P., 2019. "Fluctuations de prix des matières premières et économie congolaise : manne d’espoir ou de malédiction ? [Fluctuations in commodity price and the congolese economy: hope or curse manna?]," MPRA Paper 95409, University Library of Munich, Germany.
    8. Alex Maynard & Katsumi Shimotsu & Nina Kuriyama, 2023. "Inference in Predictive Quantile Regressions," Papers 2306.00296, arXiv.org, revised May 2024.

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