Discovering specific common trends in a large set of disaggregates: statistical procedures, their properties, and an empirical application

OXFORD BULLETIN OF ECONOMICS AND STATISTICS - 11/2020

https://doi.org/10.1111/obes.12412 Ver en origen

• EISSN 1468-0084
• ISSN 0305-9049

• UC3M

Quarterly Regional GDP Flash Estimates by Means of Benchmarking and Chain Linking

Journal of Official Statistics (p. 627-647) - 12/2015

https://doi.org/10.1515/jos-2015-0038 Ver en origen

• EISSN 2001-7367
• ISSN 0282-423X

• UC3M

Forecasting Spanish Inflation using the Maximum Disaggregation Level by Sectors and Geographical Areas

INTERNATIONAL REGIONAL SCIENCE REVIEW (p. 181-204) - 4/2010

https://doi.org/10.1177/0160017609336629 Ver en origen

• EISSN 1552-6925
• ISSN 0160-0176

• UC3M

Forecasting the Electricity Load from One Day to One Week Ahead for the Spanish System Operator

INTERNATIONAL JOURNAL OF FORECASTING (p. 588-602) - 10/2008

https://doi.org/10.1016/j.ijforecast.2008.07.005 Ver en origen

• EISSN 1872-8200
• ISSN 0169-2070

• UC3M

Energy Forecasting

INTERNATIONAL JOURNAL OF FORECASTING (p. 561-565) - 10/2008

https://doi.org/10.1016/j.ijforecast.2008.08.001 Ver en origen

• EISSN 1872-8200
• ISSN 0169-2070

• UC3M

Prediction intervals in conditionally heteroscedastic time series with stochastic components

INTERNATIONAL JOURNAL OF FORECASTING (p. 308-319) - 4/2011

• EISSN 1872-8200
• ISSN 0169-2070

• UC3M

Twenty-Two Years of Inflation Assessment and Forecasting Experience at the Bulletin of EU & US Inflation and Macroeconomic Analysis

Econometrics Journal - 1/2017

Editor: MDPI AG

10.3390/econometrics5040044 Ver en origen

• EISSN 1368-423X
• ISSN 1368-4221
• ISSN/ISBN 2225-1146

• Dialnet
• UC3M

Conditionally Heterocedastic Unobserved Component Models and their Reduced Form

ECONOMICS LETTERS (p. 88-90) - 5/2010

https://doi.org/10.1016/j.econlet.2009.12.034 Ver en origen

• EISSN 1873-7374
• ISSN 0165-1765

• UC3M

Comments on: Short-term forecasting the daily load curve for residential electricity usage in the smart grid [book review]

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY (p. 621-623) - 12/2013

https://doi.org/10.1002/asmb.1975 Ver en origen

• EISSN 1526-4025
• ISSN 1524-1904

• UC3M

Geographical disaggregation of sectoral inflation. Econometric modelling of the Euro area and Spanish economies

APPLIED ECONOMICS (p. 799-815) - 2/2016

https://doi.org/10.1080/00036846.2015.1088141 Ver en origen

• EISSN 1466-4283
• ISSN 0003-6846

• UC3M

Comentarios a "¿Brotes verdes? ¿Dónde, cuándo y cómo?" de Máximo Camacho, Gabriel Pérez-Quirós y Pilar Poncela. In: La crisis de la economía española: análisis económico de la Gran Recesión

La crisis de la economía española: análisis económico de la Gran Recesión (p. 72-78) - 6/2010

Editor: FUNDACION DE ESTUDIOS DE ECONOMIA APLICADA

• ISBN 978-84-86608-99-6

• UC3M

Implementing Business Intelligence in Electricity Markets. In: Business Intelligence in Economic Forecasting: Technologies and Techniques

Business Intelligence in Economic Forecasting: Technologies and Techniques (p. 283-295) - 1/2010

Editor: IGI GLOBAL

https://doi.org/10.4018/978-1-61520-629-2.ch01 Ver en origen

• ISBN 9781615206292

• UC3M

ARIMA-GARCH and Unobserved Component Models with GARCH Disturbances: Are their Prediction Intervals Different?

XXXIII Simposio de Análisis Económico (SAE) - 2008

• UC3M

The disaggegation map approach to identify non-pervasive common features in a large set of disaggregates

The 7th International Conference on Computational and Financial Econometrics (CFE 2013) - 2013

• UC3M

Combining Benchmarking and Chain-Linking for Short-Term Regional Forecasting: An Application to Spanish GDP

The 31st Annual International Symposium on Forecasting - 2011

• UC3M

Modeling Monthly Electricity Demand and Building MacroeconomiIc ndicators based on Electricity Consumption: Interaction between Monthly Econometric and Daily Time Series Models

Seminar Spring 2012 of the Department of Economics - 2012

• UC3M

22 years of forecasting experience at the Bulletin of Inflation and Macroeconomic Analysis

NBP Workshop on Forecasting, Narodowy Bank Polski - 2015

• UC3M

Consideraciones sobre la economia española: situacion actual y cuestiones pendientes

Jornada sobre las economías portuguesa y española. Repsol. - 2014

• UC3M

Discovering common trends in a large set of disaggregates: statistical procedures and their properties

IAAE 2016 Annual Conference - 2016

Editor: UNIVERSIDAD CARLOS III DE MADRID

• UC3M
• UC3M

Ponencia

Euro Area Data: issues and implications for economic analysis - 2008

• UC3M

The Spanish Economic Perspectives

EUI-Nomics 2016: Debating the economic conditions in the Euro area and beyond - 2016

• UC3M

Estadístiques i prediccions macroeconòmiques en les comunitats autònomes

Día de la Estadística 2012 - 2012

• UC3M

Tall big data time series of high frequency: stylized facts and econometric modelling

2023

Editor: UNIVERSIDAD CARLOS III DE MADRID

• UC3M

Forecasting Spanish Inflation Using Information from Different Sectors and Geographical Areas

2008

Editor: UNIVERSIDAD CARLOS III DE MADRID

• UC3M

The pairwise approach to model a large set of disaggregates with common trends

2014

Editor: Universidad Carlos III de Madrid. Departamento de Estadística

• UC3M

22 Years of inflation assessment and forecasting experience at the bulletin of EU & US inflation and macroeconomic analysis

2017

• UC3M

Discovering pervasive and non-pervasive common cycles

2017

• UC3M

Forecasting Inflation Using the Maximum Disaggregation Level by Sectors and Geographical Areas and Cointegration Relationships Between Regional and National Sectors: The Case of Spain

2008

• UC3M

Discovering general and sectorial trends in a large set of time series

2020

Editor: UNIVERSIDAD CARLOS III DE MADRID

• UC3M

El perfil de crecimiento de un fenómeno económico

2008

Editor: Banco de España (BE)

• UC3M

Forecasting aggregates and disaggregates with common features

INTERNATIONAL JOURNAL OF FORECASTING (p. 718-732) - 12/2012

Editor: Universidad Carlos III de Madrid. Departamento de Estadística

https://doi.org/10.1016/j.ijforecast.2012.10.004 Ver en origen

• EISSN 1872-8200
• ISSN 0169-2070

• UC3M
• UC3M
• UC3M

Forecasting disaggregates by sectors and regions : the case of inflation in the euro area and Spain

A short-term sector-based anticipatory system for labour market trends - 2013

Editor: UNIVERSIDAD CARLOS III DE MADRID

• UC3M
• UC3M
• UC3M

Predicción en modelos de componentes inobservables condicionalmente heteróscedasticos

Fecha de defensa: 08-06-2009

• UC3M

Discovering common features in a large set of disaggregates. Methodology, modeling and forecasting

Fecha de defensa: 26-05-2016

• UC3M