Nowcasting GDP: An Application to Portugal
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- Claudia Foroni & Massimiliano Marcellino, 2013.
"A survey of econometric methods for mixed-frequency data,"
Working Paper
2013/06, Norges Bank.
- Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Economics Working Papers ECO2013/02, European University Institute.
- Wen, Yi & Zeng, Bing, 1999. "A simple nonlinear filter for economic time series analysis," Economics Letters, Elsevier, vol. 64(2), pages 151-160, August.
- Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008.
"Nowcasting: The real-time informational content of macroeconomic data,"
Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
- Domenico Giannone & Lucrezia Reichlin & David H. Small, 2005. "Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases," Finance and Economics Discussion Series 2005-42, Board of Governors of the Federal Reserve System (U.S.).
- Domenico Giannone & Lucrezia Reichlin & David H Small, 2007. "Nowcasting GDP and Inflation: The Real-Time Informational Content of Macroeconomic Data Releases," Money Macro and Finance (MMF) Research Group Conference 2006 164, Money Macro and Finance Research Group.
- Reichlin, Lucrezia & Giannone, Domenico & Small, David, 2005. "Nowcasting GDP and Inflation: The Real Time Informational Content of Macroeconomic Data Releases," CEPR Discussion Papers 5178, C.E.P.R. Discussion Papers.
- Francisco Dias & Maximiano Pinheiro & António Rua, 2010.
"Forecasting using targeted diffusion indexes,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 341-352.
- António Rua & Francisco Craveiro Dias, 2008. "Forecasting Using Targeted Diffusion Indexes," Working Papers w200807, Banco de Portugal, Economics and Research Department.
- Daniel M. Chin & Preston J. Miller, 1996. "Using monthly data to improve quarterly model forecasts," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 20(Spr), pages 16-33.
- Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
- Hodrick, Robert J & Prescott, Edward C, 1997.
"Postwar U.S. Business Cycles: An Empirical Investigation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
- Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Kurt Annen, 2006. "HP-Filter Excel Add-In," QM&RBC Codes 165, Quantitative Macroeconomics & Real Business Cycles.
- Christian Zimmermann, 2005. "HP-Filter code (Perl)," QM&RBC Codes 98, Quantitative Macroeconomics & Real Business Cycles.
- Kurt Annen, 2004. "Matlab functions for HP-filter," QM&RBC Codes 166, Quantitative Macroeconomics & Real Business Cycles.
- Ivailo Izvorski, "undated". "MATLAB code for the Hodrick-Prescott filter," QM&RBC Codes 1, Quantitative Macroeconomics & Real Business Cycles.
- Ken Matheny & Simon van Norden & Robert Vigfusson, 1989. "GAUSS code for the Hodrick-Prescott filter," QM&RBC Codes 2, Quantitative Macroeconomics & Real Business Cycles, revised Apr 1995.
- Kurt Annen, 2006. "HP-Filter DLL executable," QM&RBC Codes 167, Quantitative Macroeconomics & Real Business Cycles.
- Kurt Annen, 2004. "HP-filter for Java," QM&RBC Codes 168, Quantitative Macroeconomics & Real Business Cycles.
- Morten Ravn, "undated". "GAUSS program for Hodrick-Prescott filter," QM&RBC Codes 101, Quantitative Macroeconomics & Real Business Cycles.
- Edward C. Prescott, 1982. "FORTRAN code for the Hodrick-Prescott filter," QM&RBC Codes 3, Quantitative Macroeconomics & Real Business Cycles.
- Morten Ravn, "undated". "Alternate GAUSS program for the Hodrick-Prescott Filter," QM&RBC Codes 102, Quantitative Macroeconomics & Real Business Cycles.
- Christian Zimmermann, 2005. "HP-Filter (web interface)," QM&RBC Codes 97, Quantitative Macroeconomics & Real Business Cycles.
- Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
- Hyndman, Rob J. & Billah, Baki, 2003.
"Unmasking the Theta method,"
International Journal of Forecasting, Elsevier, vol. 19(2), pages 287-290.
- Hyndman, R.J. & Billah, B., 2001. "Unmasking the Theta Method," Monash Econometrics and Business Statistics Working Papers 5/01, Monash University, Department of Econometrics and Business Statistics.
- Assimakopoulos, V. & Nikolopoulos, K., 2000. "The theta model: a decomposition approach to forecasting," International Journal of Forecasting, Elsevier, vol. 16(4), pages 521-530.
- Dias, Francisco & Pinheiro, Maximiano & Rua, António, 2015. "Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence," Economic Modelling, Elsevier, vol. 44(C), pages 266-272.
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
- Marie Diron, 2008. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 371-390.
- Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004.
"The MIDAS Touch: Mixed Data Sampling Regression Models,"
CIRANO Working Papers
2004s-20, CIRANO.
- Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," University of California at Los Angeles, Anderson Graduate School of Management qt9mf223rs, Anderson Graduate School of Management, UCLA.
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Cited by:
- Jan Radovan & Igor Masten, 2025. "Nowcasting economic activity in a small open CESEE economy using mixed frequency data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 52(4), pages 721-776, November.
- Jo~ao B. Assunc{c}~ao & Pedro Afonso Fernandes, 2024. "The Surprising Robustness of Partial Least Squares," Papers 2409.05713, arXiv.org.
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