Oscar Claveria : Citation Profile


Are you Oscar Claveria?

Universitat de Barcelona (50% share)
Universitat de Barcelona (50% share)

3

H index

2

i10 index

66

Citations

RESEARCH PRODUCTION:

15

Articles

30

Papers

RESEARCH ACTIVITY:

   13 years (2006 - 2019). See details.
   Cites by year: 5
   Journals where Oscar Claveria has often published
   Relations with other researchers
   Recent citing documents: 19.    Total self citations: 32 (32.65 %)

EXPERT IN:

   Mathematical Methods
   Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
   Neural Networks and Related Topics
   Model Construction and Estimation
   Large Data Sets: Modeling and Analysis

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pcl111
   Updated: 2019-09-14    RAS profile: 2019-06-13    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Oscar Claveria.

Is cited by:

Lehmann, Robert (8)

Wohlrabe, Klaus (4)

Ravazzolo, Francesco (3)

Cesaroni, Tatiana (3)

Aastveit, Knut Are (3)

Zhao, Yongchen (2)

Lui, Silvia Sze Wai (2)

Iezzi, Stefano (2)

Schmeling, Maik (2)

Breitung, Jörg (2)

Weale, Martin (2)

Cites to:

Weale, Martin (32)

Mitchell, James (32)

Batchelor, Roy (23)

Wohlrabe, Klaus (17)

McAleer, Michael (17)

Lahiri, Kajal (16)

Smith, Richard (16)

Teräsvirta, Timo (15)

Garnitz, Johanna (15)

Hyndman, Rob (14)

Dua, Pami (12)

Main data


Where Oscar Claveria has published?


Journals with more than one article published# docs
Applied Economics Letters3

Working Papers Series with more than one paper published# docs
IREA Working Papers / University of Barcelona, Research Institute of Applied Economics14
AQR Working Papers / University of Barcelona, Regional Quantitative Analysis Group14

Recent works citing Oscar Claveria (2019 and 2018)


YearTitle of citing document
2017Clustering and forecasting inflation expectations using the World Economic Survey: the case of the 2014 oil price shock on inflation targeting countries. (2017). Zarate-Solano, Hector ; Zapata-Sanabria, Daniel R. In: Borradores de Economia. RePEc:bdr:borrec:993.

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2017Forecasting tourism demand through search queries and machine learning. (2017). de Kort, Rendell E. In: IFC Bulletins chapters. RePEc:bis:bisifc:44-10.

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2017Residential investment and recession predictability. (2017). Herstad, Eyo ; Anundsen, Andre ; Aastveit, Knut Are. In: Working Papers. RePEc:bny:wpaper:0057.

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2017Corruption and business confidence: a panel data analysis. (2017). Montes, Gabriel ; Almeida, Andr. In: Economics Bulletin. RePEc:ebl:ecbull:eb-17-00725.

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2018Electricity Consumption Forecasting in Thailand using Hybrid Model SARIMA and Gaussian Process with Combine Kernel Function Technique. (2018). Suksawang, Poonpong ; Kaewnuch, Kanokkarn ; Suphachan, Sukonthip. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2018-04-13.

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2017Forecasting accuracy evaluation of tourist arrivals. (2017). GUPTA, RANGAN ; Filis, George ; Antonakakis, Nikolaos ; Silva, Emmanuel Sirimal ; Hassani, Hossein. In: Annals of Tourism Research. RePEc:eee:anture:v:63:y:2017:i:c:p:112-127.

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2018Forecasting turning points in tourism growth. (2018). Ki, Shui ; Song, Haiyan. In: Annals of Tourism Research. RePEc:eee:anture:v:72:y:2018:i:c:p:156-167.

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2019Forecasting tourism demand with denoised neural networks. (2019). Huang, XU ; Heravi, Saeed ; Hassani, Hossein ; Silva, Emmanuel Sirimal. In: Annals of Tourism Research. RePEc:eee:anture:v:74:y:2019:i:c:p:134-154.

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2019A review of research on tourism demand forecasting. (2019). Park, Jinah ; Song, Haiyan. In: Annals of Tourism Research. RePEc:eee:anture:v:75:y:2019:i:c:p:338-362.

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2017Comparing forecasts for tourism dynamics in Medellín, Colombia. (2017). Vanegas, Juan Gabriel ; Cardenas, Marisol Valencia ; Restrepo, Jorge Anibal ; Correa, Juan Carlos . In: Lecturas de Economía. RePEc:lde:journl:y:2017:i:86:p:199-230.

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2018Drivers of international tourism demand in Africa. (2018). Evans, Olaniyi ; Boso, Nathaniel ; Adeola, Ogechi. In: Business Economics. RePEc:pal:buseco:v:53:y:2018:i:1:d:10.1057_s11369-017-0051-3.

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2017Forecasting Tourist Arrivals in Prague: Google Econometrics. (2017). Zeynalov, Ayaz. In: MPRA Paper. RePEc:pra:mprapa:83268.

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2018Forecasting Tourist Arrivals: Google Trends Meets Mixed Frequency Data. (2018). Havranek, Tomas ; Zeynalov, Ayaz. In: MPRA Paper. RePEc:pra:mprapa:90205.

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2018Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community. (2018). Moreno-Izquierdo, Luis ; Mas-Ferrando, Adrian ; Pereto-Rovira, Alexandre ; Egorova, Galina. In: INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH. RePEc:ris:invreg:0385.

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2017The Predictive Content of Business Survey Indicators: Evidence from SIGE. (2017). Cesaroni, Tatiana ; Iezzi, Stefano. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:13:y:2017:i:1:d:10.1007_s41549-017-0015-8.

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2018Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys. (2018). Basselier, Raisa ; Langenus, Geert ; Liedo, David Antonio. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:14:y:2018:i:1:d:10.1007_s41549-017-0022-9.

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2019Inspecting the Relationship Between Business Confidence and Industrial Production: Evidence on Italian Survey Data. (2019). MARGANI, PATRIZIA ; Bruno, Giancarlo ; Crosilla, L. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:15:y:2019:i:1:d:10.1007_s41549-018-00033-4.

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2017Experts, firms, consumers or even hard data? Forecasting employment in Germany. (2017). Wohlrabe, Klaus ; Lehmann, Robert. In: Applied Economics Letters. RePEc:taf:apeclt:v:24:y:2017:i:4:p:279-283.

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2018Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data. (2018). Havranek, Tomas ; Zeynalov, Ayaz. In: EconStor Preprints. RePEc:zbw:esprep:187420.

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Works by Oscar Claveria:


YearTitleTypeCited
2013“Forecasting Business surveys indicators: neural networks vs. time series models” In: AQR Working Papers.
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2013“Forecasting Business surveys indicators: neural networks vs. time series models”.(2013) In: IREA Working Papers.
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2013“Tourism demand forecasting with different neural networks models” In: AQR Working Papers.
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2013“Tourism demand forecasting with different neural networks models”.(2013) In: IREA Working Papers.
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2014“A multivariate neural network approach to tourism demand forecasting” In: AQR Working Papers.
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2014“A multivariate neural network approach to tourism demand forecasting”.(2014) In: IREA Working Papers.
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2015“Multiple-input multiple-output vs. single-input single-output neural network forecasting” In: AQR Working Papers.
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2015“Multiple-input multiple-output vs. single-input single-output neural network forecasting”.(2015) In: IREA Working Papers.
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2015“Effects of removing the trend and the seasonal component on the forecasting performance of artificial neural network techniques” In: AQR Working Papers.
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2015“Effects of removing the trend and the seasonal component on the forecasting performance of artificial neural network techniques”.(2015) In: IREA Working Papers.
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2015“Regional Forecasting with Support Vector Regressions: The Case of Spain” In: AQR Working Papers.
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2015“Regional Forecasting with Support Vector Regressions: The Case of Spain”.(2015) In: IREA Working Papers.
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2015“Self-organizing map analysis of agents’ expectations. Different patterns of anticipation of the 2008 financial crisis” In: AQR Working Papers.
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2015“Self-organizing map analysis of agents expectations. Different patterns of anticipation of the 2008 financial crisis”.(2015) In: IREA Working Papers.
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2017“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting” In: AQR Working Papers.
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2017“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting.(2017) In: IREA Working Papers.
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2017“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming” In: AQR Working Papers.
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2017Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming.(2017) In: IREA Working Papers.
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2017“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps” In: AQR Working Papers.
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2017“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps.(2017) In: IREA Working Papers.
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2018“Tracking economic growth by evolving expectations via genetic programming: A two-step approach” In: AQR Working Papers.
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2018“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”.(2018) In: IREA Working Papers.
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2018Tracking economic growth by evolving expectations via genetic programming: A two-step approach.(2018) In: Working Papers.
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2018“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics” In: AQR Working Papers.
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2018“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”.(2018) In: IREA Working Papers.
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2018“A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations” In: AQR Working Papers.
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2018“A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations”.(2018) In: IREA Working Papers.
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2018“A new metric of consensus for Likert scales” In: AQR Working Papers.
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2018“A new metric of consensus for Likert scales”.(2018) In: IREA Working Papers.
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2017Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis In: Journal of Applied Economics.
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2014Forecasting tourism demand to Catalonia: Neural networks vs. time series models In: Economic Modelling.
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2016A self-organizing map analysis of survey-based agents׳ expectations before impending shocks for model selection: The case of the 2008 financial crisis In: International Economics.
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2007Business and consumer expectations and macroeconomic forecasts In: International Journal of Forecasting.
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2006Quantification of Expectations. Are They Useful for Forecasting Inflation? In: Economic Issues Journal Articles.
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2019Evolutionary Computation for Macroeconomic Forecasting In: Computational Economics.
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2019Empirical modelling of survey-based expectations for the design of economic indicators in five European regions In: Empirica.
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2016Quantification of Survey Expectations by Means of Symbolic Regression via Genetic Programming to Estimate Economic Growth in Central and Eastern European Economies In: Eastern European Economics.
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2008Tourism Demand in Catalonia: Detecting External Economic Factors In: MPRA Paper.
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2019Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations In: Journal for Labour Market Research.
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2017A new approach for the quantification of qualitative measures of economic expectations In: Quality & Quantity: International Journal of Methodology.
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2016Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model In: SERIEs: Journal of the Spanish Economic Association.
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2018A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
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2016Combination forecasts of tourism demand with machine learning models In: Applied Economics Letters.
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2017Assessment of the effect of the financial crisis on agents’ expectations through symbolic regression In: Applied Economics Letters.
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2019A new consensus-based unemployment indicator In: Applied Economics Letters.
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