A self-organizing map analysis of survey-based agents׳ expectations before impending shocks for model selection: The case of the 2008 financial crisis
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Abstract
Suggested Citation
DOI: 10.1016/j.inteco.2015.11.003
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Cited by:
- Hyun Hak Kim, 2022. "A dynamic analysis of household debt using a self-organizing map," Empirical Economics, Springer, vol. 62(6), pages 2893-2919, June.
- 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.
- 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.
- Hector M. Zarate-Solano & Daniel R. Zapata-Sanabria, 2017. "Clustering and forecasting inflation expectations using the World Economic Survey: the case of the 2014 oil price shock on inflation targeting countries," Borradores de Economia 993, Banco de la Republica de Colombia.
- Oscar Claveria & Enric Monte & Salvador Torra, 2018.
"“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”,"
AQR Working Papers
201801, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2018.
- Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
- Oscar Claveria & Enric Monte & Salvador Torra, 2018. "Tracking economic growth by evolving expectations via genetic programming: A two-step approach," Working Papers XREAP2018-4, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2018.
More about this item
Keywords
Business surveys indicators; Expectations; Self-Organizing Maps; Artificial Neural Networks; Time series models; Forecasting;All these keywords.
JEL classification:
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- 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
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