| Forecasting tourism demand to Catalonia: Neural networks vs. time series models O Claveria, S Torra Economic Modelling 36 (1), 220-228, 2014 | 262 | 2014 |
| Business and consumer expectations and macroeconomic forecasts O Claveria, E Pons, R Ramos International Journal of Forecasting 23 (1), 47-69, 2007 | 129 | 2007 |
| Tourism demand forecasting with neural network models: Different ways of treating information O Claveria, E Monte, S Torra International Journal of Tourism Research 17 (5), 492-500, 2015 | 74 | 2015 |
| A new forecasting approach for the hospitality industry O Claveria, E Monte, S Torra International Journal of Contemporary Hospitality Management 27 (7), 1520-1538, 2015 | 57 | 2015 |
| Positioning and clustering of the world’s top tourist destinations by means of dimensionality reduction techniques for categorical data O Claveria, A Poluzzi Journal of Destination Marketing & Management 6 (1), 22-32, 2017 | 39 | 2017 |
| Qualitative survey data on expectations. Is there an alternative to the balance statistic? O Claveria Economic Forecasting, 181-190, 2011 | 34 | 2011 |
| Forecasting tourism demand using consumer expectations O Claveria, J Datzira Tourism Review 65 (1), 18-36, 2010 | 34 | 2010 |
| Quantification of expectations. Are they useful for forecasting inflation? O Claveria, E Pons, J Suriñach Economic Issues 11 (2), 19-38, 2006 | 32 | 2006 |
| Positioning emerging tourism markets using tourism and economic indicators O Claveria Journal of Hospitality and Tourism Management 29, 143-153, 2016 | 30 | 2016 |
| A new approach for the quantification of qualitative measures of economic expectations O Claveria, E Monte, S Torra Quality & Quantity 51 (6), 2685-2706, 2017 | 25 | 2017 |
| Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in Central and Eastern European economies O Claveria, E Monte, S Torra Eastern European Economics 54 (2), 171-189, 2016 | 22 | 2016 |
| Common trends in international tourism demand: Are they useful to improve tourism predictions? O Claveria, E Monte, S Torra Tourism Management Perspectives 16, 116-122, 2015 | 22 | 2015 |
| Combination forecasts of tourism demand with machine learning models O Claveria, E Monte, S Torra Applied Economics Letters 23 (6), 428-431, 2016 | 21 | 2016 |
| Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations O Claveria Journal for Labour Market Research 53 (3), 1-10, 2019 | 19 | 2019 |
| Tourism demand in Catalonia: Detecting external economic factors O Claveria, J Datzira Tourismos 4 (1), 13-28, 2009 | 19 | 2009 |
| Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model O Claveria, E Monte, S Torra SERIEs 7 (3), 341-357, 2016 | 18 | 2016 |
| La formació competencial dels llicenciats en economia i empresa: Una visió des del seu entorn professional M Alcañiz, C Riera, O Claveria Revista d'Innovació i Recerca en Educació - REIRE 6 (2), 64-85, 2013 | 18* | 2013 |
| Data pre-processing for neural network-based forecasting: Does it really matter? O Claveria, E Monte, S Torra Technological and Economic Development of Economy 23 (5), 709-725, 2017 | 17 | 2017 |
| A new consensus-based unemployment indicator O Claveria Applied Economics Letters 26 (10), 812-817, 2019 | 16 | 2019 |
| Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection O Claveria, E Monte, S Torra Revista de Economia Aplicada 24 (72), 109-132, 2016 | 16 | 2016 |
Salvador TorraProfesor de Métodos Cuantitativos para la economía y la empresa Verified email at ub.edu
