Clustering and forecasting inflation expectations using the World Economic Survey: the case of the 2014 oil price shock on inflation targeting countries
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- Luis Gonzaga Baca Ruiz & Manuel Pegalajar Cuéllar & Miguel Delgado Calvo-Flores & María Del Carmen Pegalajar Jiménez, 2016. "An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings," Energies, MDPI, Open Access Journal, vol. 9(9), pages 1-21, August.
- Oscar Claveria & Enric Monte & Salvador Torra, 2016. "A self-organizing map analysis of survey-based agents? expectations before impending shocks for model selection: The case of the 2008 financial crisis," International Economics, CEPII research center, issue 146, pages 40-58.
- Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
- Anna Stangl, 2007. "European Data Watch: Ifo World Economic Survey Micro Data," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(3), pages 487-496.
- Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
- Fildes, Robert & Stekler, Herman, 2002. "Reply to the comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 503-505, December.
- Claveria, Oscar & Monte, Enric & Torra, Salvador, 2016. "A self-organizing map analysis of survey-based agents׳ expectations before impending shocks for model selection: The case of the 2008 financial crisis," International Economics, Elsevier, vol. 146(C), pages 40-58.
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- Oscar Claveria, 2017.
"“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps,"
IREA Working Papers
201713, University of Barcelona, Research Institute of Applied Economics, revised Jun 2017.
- Oscar Claveria, 2017. "“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps”," AQR Working Papers 201707, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2017.
More about this item
KeywordsInflation expectations; machine learning; self-organizing maps; nonlinear autoregressive neural network; expectation surveys;
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-CBA-2017-05-14 (Central Banking)
- NEP-CMP-2017-05-14 (Computational Economics)
- NEP-ENE-2017-05-14 (Energy Economics)
- NEP-FOR-2017-05-14 (Forecasting)
- NEP-MON-2017-05-14 (Monetary Economics)
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