Adaptive learning with a unit root: An application to the current account
AbstractThis paper develops a simple two-country, two-good model of international trade and borrowing that suppresses all previous sources of current account dynamics. Under rational expectations, international debt follows a random walk. Under adaptive learning, however, the model's unit root is eliminated and international debt is either a stationary or an explosive process, depending on agents' specific learning algorithm. Some stationary learning algorithms result in debt following an AR(1) process with an autoregressive coefficient less than 0.8. Because unit roots are a common and problematic feature of many international business cycle models, our results offer a new approach for generating stationarity.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Economic Dynamics and Control.
Volume (Year): 34 (2010)
Issue (Month): 2 (February)
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Web page: http://www.elsevier.com/locate/jedc
Current account International debt movements Expectations Adaptive learning;
Other versions of this item:
- Ronald B. Davies & Paul Shea, 2003. "Adaptive Learning with a Unit Root: An Application to the Current Account," University of Oregon Economics Department Working Papers 2006-15, University of Oregon Economics Department, revised 10 Jun 2003.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- F11 - International Economics - - Trade - - - Neoclassical Models of Trade
- F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
- F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Stephanie Schmitt-Grohe & Martin Uribe, 2001.
"Closing Small Open Economy Models,"
Departmental Working Papers
200115, Rutgers University, Department of Economics.
- Bruce Preston, 2005.
"Learning about Monetary Policy Rules when Long-Horizon Expectations Matter,"
International Journal of Central Banking,
International Journal of Central Banking, vol. 1(2), September.
- Preston, Bruce, 2005. "Learning about Monetary Policy Rules when Long-Horizon Expectations Matter," MPRA Paper 830, University Library of Munich, Germany.
- Bruce Preston, 2003. "Learning about monetary policy rules when long-horizon expectations matter," Working Paper 2003-18, Federal Reserve Bank of Atlanta.
- Bhagwati, Jagdish N, 1969. "Optimal Policies and Immiserizing Growth," American Economic Review, American Economic Association, vol. 59(5), pages 967-70, December.
- Jagdish Bhagwati & Arvind Panagariya & T. N. Srinivasan, 1998. "Lectures on International Trade, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262522470, January.
- Evans, G.W. & Honkapohja, S., 1998.
"Stochastic Gradient Learning in the Cobweb Model,"
University of Helsinki, Department of Economics
438, Department of Economics.
- Cho, In-Koo & Kasa, Kenneth, 2008.
"Learning Dynamics And Endogenous Currency Crises,"
Cambridge University Press, vol. 12(02), pages 257-285, April.
- Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-11, July.
- Barucci, Emilio & Landi, Leonardo, 1997. "Least mean squares learning in self-referential linear stochastic models," Economics Letters, Elsevier, vol. 57(3), pages 313-317, December.
- Cole, Harold L. & Obstfeld, Maurice, 1991.
"Commodity trade and international risk sharing : How much do financial markets matter?,"
Journal of Monetary Economics,
Elsevier, vol. 28(1), pages 3-24, August.
- Harold L. Cole & Maurice Obstfeld, 1991. "Commodity Trade and International Risk Sharing: How Much Do Financial Markets Matter?," NBER Working Papers 3027, National Bureau of Economic Research, Inc.
- Kenneth Kasa, 2000.
"Learning, large deviations, and recurrent currency crises,"
Working Paper Series
2000-10, Federal Reserve Bank of San Francisco.
- Kenneth Kasa, 2004. "Learning, Large Deviations, And Recurrent Currency Crises," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 141-173, 02.
- Marc-Andre Letendre, 2000. "Linear Approximation Methods and International Real Business Cycles with Incomplete Asset Markets," Econometric Society World Congress 2000 Contributed Papers 1539, Econometric Society.
- Maurice Obstfeld & Kenneth S. Rogoff, 1996. "Foundations of International Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262150476, January.
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