Evaluating the Role of Global Factors in GDP Nowcasting
[Анализ Важности Глобальных Факторов Для Наукастинга Ввп]
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- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005.
"The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting,"
Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
- Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2002. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," CEPR Discussion Papers 3432, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2005. "The generalised dynamic factor model: one sided estimation and forecasting," ULB Institutional Repository 2013/10129, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2003. "The Generalized Dynamic Factor Model. One-Sided Estimation and Forecasting," LEM Papers Series 2003/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Forni M. & Hallin M., 2003. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Computing in Economics and Finance 2003 143, Society for Computational Economics.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2004.
"The generalized dynamic factor model consistency and rates,"
Journal of Econometrics, Elsevier, vol. 119(2), pages 231-255, April.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2004. "The generalised dynamic factor model: consistency and rates," ULB Institutional Repository 2013/10133, ULB -- Universite Libre de Bruxelles.
- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010.
"Are disaggregate data useful for factor analysis in forecasting French GDP?,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
- Barhoumi, K. & Darné, O. & Ferrara, L., 2009. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Working papers 232, Banque de France.
- Tony Chernis & Rodrigo Sekkel, 2017.
"A dynamic factor model for nowcasting Canadian GDP growth,"
Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
- Tony Chernis & Rodrigo Sekkel, 2017. "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers 17-2, Bank of Canada.
- S. M. Drobyshevsky & G. I. Idrisov & A. S. Kaukin & P. N. Pavlov & S. G. Sinelnikov‑Murylev, 2018. "Decomposition of Russian GDP growth rates in 2007—2017 and forecast for 2018—2020," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 9.
- Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016.
"Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model,"
Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 60-76.
- Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
- Alexey Porshakov & Elena Deryugina & Alexey Ponomarenko & Andrey Sinyakov, 2015. "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Bank of Russia Working Paper Series wps2, Bank of Russia.
- Mehrara, Mohsen & Oskoui, Kamran Niki, 2007. "The sources of macroeconomic fluctuations in oil exporting countries: A comparative study," Economic Modelling, Elsevier, vol. 24(3), pages 365-379, May.
- S. M. Drobyshevsky & G. I. Idrisov & A. S. Kaukin & P. N. Pavlov & S. G. Sinelnikov-Murylev., 2018. "Decomposition of Russian GDP growth rates in 2007—2017 and forecast for 2018—2020," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 9.
- Matheson, Troy D., 2010.
"An analysis of the informational content of New Zealand data releases: The importance of business opinion surveys,"
Economic Modelling, Elsevier, vol. 27(1), pages 304-314, January.
- Troy Matheson, 2007. "An analysis of the informational content of New Zealand data releases: the importance of business opinion surveys," Reserve Bank of New Zealand Discussion Paper Series DP2007/13, Reserve Bank of New Zealand.
- Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016.
"Nowcasting Turkish GDP and news decomposition,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
- Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016. "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series 2016-044, Board of Governors of the Federal Reserve System (U.S.).
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- Valery Charnavoki & Juan J. Dolado, 2014. "The Effects of Global Shocks on Small Commodity-Exporting Economies: Lessons from Canada," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(2), pages 207-237, April.
- Полбин Андрей Владимирович & Скроботов Антон Андреевич, 2016. "Тестирование Наличия Изломов В Тренде Структурной Компоненты Ввп Российской Федерации," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 588-623.
- Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020.
"A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth,"
International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
- Tony Chernis & Calista Cheung & Gabriella Velasco, 2017. "A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth," Discussion Papers 17-8, Bank of Canada.
- Zubarev, A. & Rybak, K., 2022. "The impact of global shocks on the Russian economy: FAVAR approach," Journal of the New Economic Association, New Economic Association, vol. 56(4), pages 48-68.
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More about this item
Keywords
GDP nowcasting; factor model;JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
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