The Implementation of Monetary Policy in an Emerging Economy: The Case of Chile
AbstractCentral bank authorities base implementation of monetary policy on an analysis of multiple variables known as monetary policy indicators. In a small open economy such as Chile, these indicators may include inflation misalignments, unemployment, GDP growth, money growth, the current account balance, exchange rate volatility and international reserves. A neural network approach is used to establish the corresponding weights considered by the Board of the Central Bank of Chile during the period 1995-2003. GDP growth and the difference between the actual and the target inflation were found to be among the variables of greatest weight in the monetary policy decision-making process of the Central Bank of Chile during this period.
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Bibliographic InfoPaper provided by Instituto de Economia. Pontificia Universidad Católica de Chile. in its series Documentos de Trabajo with number 291.
Date of creation: 2005
Date of revision:
Publication status: Published as "The Implementation of Monetary Policy in an Emerging Economy: The Case of Chile", Revista de AnÃ¡lisis EconÃ³mico, Vol. 20, NÂº 1, pp. 45-62, junio 2005.
Monetary Policy; Neural Network;
Other versions of this item:
- Christian A. Johnson & Rodrigo Vergara, 2005. "The implementation of monetary policy in an emerging economy: the case of Chile," Revista de Analisis Economico – Economic Analysis Review, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines, vol. 20(1), pages 45-62, June.
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
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- Lim, G C & McNelis, Paul D, 1998. "The Effect of the Nikkei and the S&P on the All-Ordinaries: A Comparison of Three Models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(3), pages 217-28, July.
- Franses,Philip Hans & Dijk,Dick van, 2000.
"Non-Linear Time Series Models in Empirical Finance,"
Cambridge University Press, number 9780521779654, December.
- Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415, December.
- Moshiri, Saeed & Cameron, Norman E & Scuse, David, 1999. "Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation," Computational Economics, Society for Computational Economics, vol. 14(3), pages 219-35, December.
- Church, Keith B. & Curram, Stephen P., 1996. "Forecasting consumers' expenditure: A comparison between econometric and neural network models," International Journal of Forecasting, Elsevier, vol. 12(2), pages 255-267, June.
- Raimundo Soto, . "Nonlinearities in the Demand for money: A Neural Network Approach," ILADES-Georgetown University Working Papers inv107, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
- Sebastián Edwards & Rodrigo Vergara, 2002. "Fiscal Sustainability, Debt Dynamics and Debt Relief: The Cases of Nicaragua and Honduras," IDB Publications 14398, Inter-American Development Bank.
- Frederic S. Mishkin & Klaus Schmidt-Hebbel, 2007.
"Does Inflation Targeting Make a Difference?,"
NBER Working Papers
12876, National Bureau of Economic Research, Inc.
- Frederic S. Miskin & Klaus Schmidt-Hebbel, 2007. "Does Inflation Targeting Make a Difference?," Central Banking, Analysis, and Economic Policies Book Series, in: Frederic S. Miskin & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.), Monetary Policy under Inflation Targeting, edition 1, volume 11, chapter 9, pages 291-372 Central Bank of Chile.
- Vittorio Corbo & Óscar Landerretche & Klaus Schmidt-Hebbel, 2002. "Does Inflation Targeting Make a Difference?," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Raimundo Soto & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Editor) (ed.), Inflation Targeting: Desing, Performance, Challenges, edition 1, volume 5, chapter 5, pages 221-270 Central Bank of Chile.
- Frederic S. Mishkin & Klaus Schmidt-Hebbel, 2006. "Does Inflation Targeting Make a Difference?," Working Papers 2006/13, Czech National Bank, Research Department.
- Oscar Landerretche & Vittorio Corbo & Klaus Schmidt-Hebbel, 2001. "Does Inflation Targeting Make a Difference," Working Papers Central Bank of Chile 106, Central Bank of Chile.
- Frederic Mishkin & Klaus Schmidt-Hebbel, 2006. "Does Inflation Targeting Make a Difference?," Working Papers Central Bank of Chile 404, Central Bank of Chile.
- Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
- Schmidt-Hebbel, Klaus & Tapia, Matias, 2002. "Inflation targeting in Chile," The North American Journal of Economics and Finance, Elsevier, vol. 13(2), pages 125-146, August.
- Olmeda, Ignacio & Fernandez, Eugenio, 1997. "Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction," Computational Economics, Society for Computational Economics, vol. 10(4), pages 317-35, November.
- Francisco Rosende, 2003. "¿El Fin del Monetarismo?," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(121), pages 681-689.
- Rodrigo Vergara, 2003. "El Dinero como Indicador de Política Monetaria en Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(121), pages 707-715.
- El Shazly, Mona R. & El Shazly, Hassan E., 1999. "Forecasting currency prices using a genetically evolved neural network architecture," International Review of Financial Analysis, Elsevier, vol. 8(1), pages 67-82.
- Nicholas Wilson & Kwee Chong & Michael Peel & A. N. Kolmogorov, 1995. "Neural Network Simulation and the Prediction of Corporate Outcomes: Some Empirical Findings," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 2(1), pages 31-50.
- Baker, Bruce D. & Richards, Craig E., 1999. "A comparison of conventional linear regression methods and neural networks for forecasting educational spending," Economics of Education Review, Elsevier, vol. 18(4), pages 405-415, October.
- Qi, Min, 1999. "Nonlinear Predictability of Stock Returns Using Financial and Economic Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 419-29, October.
- Wu, Chunchi & Wang, Xu-Ming, 2000. " A Neural Network Approach for Analyzing Small Business Lending Decisions," Review of Quantitative Finance and Accounting, Springer, vol. 15(3), pages 259-76, November.
- Tkacz, Greg & Hu, Sarah, 1999. "Forecasting GDP Growth Using Artificial Neural Networks," Working Papers 99-3, Bank of Canada.
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