A two-step dynamic factor modelling approach for forecasting inflation in small open economies
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DOI: 10.1016/j.ememar.2024.101188
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- Shahzad Ahmad & Adnan Haider, 2019. "An evaluation of the forecast performance of DSGE and VAR Models: The case of a developing country," Business Review, School of Economics and Social Sciences, IBA Karachi, vol. 14(1), pages 28-52, January-J.
- Marie Bessec, 2013.
"Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
- Bessec, M., 2012. "Short-term forecasts of French GDP: a dynamic factor model with targeted predictors," Working papers 409, Banque de France.
- Marie Bessec, 2013. "Short-term forecasts of French GDP: A dynamic factor model with targeted predictors," Post-Print hal-01515605, HAL.
- 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.
- Cepni, Oguzhan & Clements, Michael P., 2024.
"How local is the local inflation factor? Evidence from emerging European countries,"
International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
- Cepni, Oguzhan & Clements, Michael P., 2021. "How Local is the Local Inflation Factor? Evidence from Emerging European Countries," Working Papers 8-2021, Copenhagen Business School, Department of Economics.
- Aysun, Uluc, 2024. "Identifying the external and internal drivers of exchange rate volatility in small open economies," Emerging Markets Review, Elsevier, vol. 58(C).
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022.
"The global component of inflation volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
- Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
- Fernández, Andrés & Schmitt-Grohé, Stephanie & Uribe, Martín, 2017.
"World shocks, world prices, and business cycles: An empirical investigation,"
Journal of International Economics, Elsevier, vol. 108(S1), pages 2-14.
- Andrés Fernández & Stephanie Schmitt-Grohé & Martín Uribe, 2016. "World Shocks, World Prices, and Business Cycles: An Empirical Investigation," NBER Chapters, in: NBER International Seminar on Macroeconomics 2016, National Bureau of Economic Research, Inc.
- Andrés Fernández & Stephanie Schmitt-Grohé & Martín Uribe, 2016. "World Shocks, World Prices, and Business Cycles: An Empirical Investigation," NBER Working Papers 22833, National Bureau of Economic Research, Inc.
- Fernandez, Andres & Schmitt-Grohé, Stephanie & Uribe, Martin, 2017. "World Shocks, World Prices, and Business Cycles : An Empirical Investigation," IDB Publications (Working Papers) 8315, Inter-American Development Bank.
- Giovanni Caggiano & George Kapetanios & Vincent Labhard, 2011.
"Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(8), pages 736-752, December.
- Caggiano, Giovanni & Kapetanios, George & Labhard, Vincent, 2009. "Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK," Working Paper Series 1051, European Central Bank.
- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
- Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
- Graham Elliott & Allan Timmermann, 2016.
"Economic Forecasting,"
Economics Books,
Princeton University Press,
edition 1, number 10740.
- Graham Elliott & Allan Timmermann, 2008. "Economic Forecasting," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 3-56, March.
- Timmermann, Allan & Elliott, Graham, 2007. "Economic Forecasting," CEPR Discussion Papers 6158, C.E.P.R. Discussion Papers.
- Rose Cunningham & Brigitte Desroches & Eric Santor, 2010. "Inflation Expectations and the Conduct of Monetary Policy: A Review of Recent Evidence and Experience," Bank of Canada Review, Bank of Canada, vol. 2010(Spring), pages 13-25.
- Duncan, Roberto & Martínez-García, Enrique, 2019.
"New perspectives on forecasting inflation in emerging market economies: An empirical assessment,"
International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
- Roberto Duncan & Enrique Martínez García, 2018. "New Perspectives on Forecasting Inflation in Emerging Market Economies: An Empirical Assessment," Globalization Institute Working Papers 338, Federal Reserve Bank of Dallas.
- Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.
- Pérez-Quirós, Gabriel & Camacho, Máximo & Alvarez, Rocio, 2012.
"Finite sample performance of small versus large scale dynamic factor models,"
CEPR Discussion Papers
8867, C.E.P.R. Discussion Papers.
- Rocio Alvarez & Maximo Camacho & Gabriel Perez-Quiros, 2012. "Finite sample performance of small versus large scale dynamic factor models," Working Papers 1204, Banco de España.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2010.
"A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 720-754.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
- Ang, Andrew & Bekaert, Geert & Wei, Min, 2007.
"Do macro variables, asset markets, or surveys forecast inflation better?,"
Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
- Andrew Ang & Geert Bekaert & Min Wei, 2005. "Do Macro Variables, Asset Markets or Surveys Forecast Inflation Better?," NBER Working Papers 11538, National Bureau of Economic Research, Inc.
- Andrew Ang & Geert Bekaert & Min Wei, 2006. "Do macro variables, asset markets, or surveys forecast inflation better?," Finance and Economics Discussion Series 2006-15, Board of Governors of the Federal Reserve System (U.S.).
- repec:dau:papers:123456789/10079 is not listed on IDEAS
- Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2018.
"The Formation of Expectations, Inflation, and the Phillips Curve,"
Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1447-1491, December.
- Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2017. "The Formation of Expectations, Inflation and the Phillips Curve," NBER Working Papers 23304, National Bureau of Economic Research, Inc.
- Sonali Das & Rangan Gupta & Alain Kabundi, 2011. "Forecasting regional house price inflation: a comparison between dynamic factor models and vector autoregressive models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(2), pages 288-302, March.
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More about this item
Keywords
Jamaica; Inflation expectations; Forecasting; Dynamic factor model; Survey data;All these keywords.
JEL classification:
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
- F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
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