Consumer Prices Trends in Colombia: Detecting Breaks and Forecasting Infation
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DOI: 10.32468/be.1289
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- Hidalgo, Javier & Seo, Myung Hwan, 2013.
"Testing for structural stability in the whole sample,"
Journal of Econometrics, Elsevier, vol. 175(2), pages 84-93.
- Javier Hidalgo & Myunghwan Seo, 2011. "Testing For Structural Stability In The Whole Sample," STICERD - Econometrics Paper Series 558, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Javier Hidalgo & Myung Hwan Seo, 2012. "Testing for Structural Stability in the Whole Sample," STICERD - Econometrics Paper Series 561, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Hidalgo-Moreno, Javier & Seo, Myung Hwan, 2012. "Testing for structural stability in the whole sample," UC3M Working papers. Economics we1236, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Barbara Rossi, 2021.
"Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them,"
Journal of Economic Literature, American Economic Association, vol. 59(4), pages 1135-1190, December.
- Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
- Barbara Rossi, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," Working Papers 1162, Barcelona School of Economics.
- Rossi, Barbara, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," CEPR Discussion Papers 14472, C.E.P.R. Discussion Papers.
- Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman, 2019.
"Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 804-819, April.
- Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman, 2017. "Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization," Monash Econometrics and Business Statistics Working Papers 22/17, Monash University, Department of Econometrics and Business Statistics.
- Jingjing Yang, 2017. "Consistency of Trend Break Point Estimator with Underspecified Break Number," Econometrics, MDPI, vol. 5(1), pages 1-19, January.
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006.
"Forecasting Time Series Subject to Multiple Structural Breaks,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(4), pages 1057-1084.
- Pesaran, M. Hashem & Pettenuzzo, Davide & Timmermann, Allan, 2004. "Forecasting Time Series Subject to Multiple Structural Breaks," IZA Discussion Papers 1196, Institute of Labor Economics (IZA).
- Pesaran, M.H. & Pettenuzzo, D. & Timmermann, A., 2004. "‘Forecasting Time Series Subject to Multiple Structural Breaks’," Cambridge Working Papers in Economics 0433, Faculty of Economics, University of Cambridge.
- Pesaran, M. Hashem & Timmermann, Allan & Pettenuzzo, Davide, 2004. "Forecasting Time Series Subject to Multiple Structural Breaks," CEPR Discussion Papers 4636, C.E.P.R. Discussion Papers.
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2004. "Forecasting Time Series Subject to Multiple Structural Breaks," CESifo Working Paper Series 1237, CESifo.
- Alessandro Casini & Pierre Perron, 2018.
"Structural Breaks in Time Series,"
Papers
1805.03807, arXiv.org.
- Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
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Econometrica, Econometric Society, vol. 91(4), pages 1333-1361, July.
- Abhimanyu Gupta & Myung Hwan Seo, 2019. "Robust Inference on Infinite and Growing Dimensional Time Series Regression," Papers 1911.08637, arXiv.org, revised Apr 2023.
- Kapetanios, G. & Tzavalis, E., 2010. "Modeling structural breaks in economic relationships using large shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 417-436, March.
- Kourentzes, Nikolaos & Athanasopoulos, George, 2021.
"Elucidate structure in intermittent demand series,"
European Journal of Operational Research, Elsevier, vol. 288(1), pages 141-152.
- Nikolaos Kourentzes & George Athanasopoulos, 2019. "Elucidate Structure in Intermittent Demand Series," Monash Econometrics and Business Statistics Working Papers 27/19, Monash University, Department of Econometrics and Business Statistics.
- S Coleman & K Sirichand, 2015.
"Investigating Multiple Changes in Persistence in International Yields,"
Economic Issues Journal Articles, Economic Issues, vol. 20(1), pages 65-90, March.
- Simeon Coleman & Kavita Sirichand, 2014. "Investigating Multiple Changes in Persistence in International Yields," Discussion Paper Series 2014_04, Department of Economics, Loughborough University, revised Jul 2014.
- Bulkley, George & Giordani, Paolo, 2011. "Structural breaks, parameter uncertainty, and term structure puzzles," Journal of Financial Economics, Elsevier, vol. 102(1), pages 222-232, October.
- Corani, Giorgio & Azzimonti, Dario & Rubattu, Nicolò, 2024. "Probabilistic reconciliation of count time series," International Journal of Forecasting, Elsevier, vol. 40(2), pages 457-469.
- Yucheng Yang & Zhong Zheng & Weinan E, 2020. "Interpretable Neural Networks for Panel Data Analysis in Economics," Papers 2010.05311, arXiv.org, revised Nov 2020.
More about this item
Keywords
Consumer Price Indexes; Linear Trend Models; Structural Breaks; Forecasting; Forecasting Evaluation; Índices de Precios al Consumidor; Modelos de Tendencia Lineal; Quiebres Estructurales; Pronósticos; Evaluación de pronósticos;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2025-01-06 (Forecasting)
- NEP-MON-2025-01-06 (Monetary Economics)
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