All Stories

  1. Deployment of solar and wind energy in Europe
  2. Inequality and redistribution
  3. A new indicator of labour market uncertainty
  4. Machine-learning sentiment indicators for European countries
  5. Assessment of the impact of economic uncertainty on suicide worldwide
  6. Economic uncertainty and suicide
  7. Economic uncertainty: Firms vs consumers
  8. Correction to: A new metric of consensus for Likert-type scale questionnaires: an application to consumer expectations
  9. A new measure of consensus (dissent) for qualitative scales
  10. Spectral analysis of business and consumer survey expectations
  11. Business and consumer survey data for economic forecasting
  12. A genetic programming approach for estimating economic sentiment
  13. Nowcasting and forecasting GDP growth with machine-learning sentiment indicators
  14. Agree to disagree: Discrepancy between firms' and households' expectations
  15. Economic forecasting with evolved confidence indicators
  16. Three dimensions of uncertainty: economic, inflation and employment
  17. Natural resources and human development
  18. Time series features and machine learning forecasts
  19. Evaluation of the effect of economic news on consumer unemployment expectations
  20. Unemployment rate forecasting using consumer expectations
  21. A geometric indicator to proxy economic uncertainty
  22. A new unemployment indicator based on the consensus among consumers’ expectations
  23. Empirical modelling of economic expectations in European regions
  24. Tracking economic growth by evolving expectations via genetic programming
  25. A new metric of consensus for Likert-type scales
  26. Evolutionary computation for macroeconomic forecasting
  27. Economic forecasting with survey expectations combined by means evolutionary algorithms
  28. Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators
  29. Positioning of the world's top ten tourist destinations
  30. Assessing the development of students' competencies by means of perceptual maps
  31. Detecting potential competitors between emerging tourism markets
  32. A data-driven approach to construct economic indicators from tendency surveys
  33. Quantification of qualitative information about the direction of change
  34. Assessment of the effect of the financial crisis on agents’ expectations
  35. A self-organizing map analysis of agents׳ expectations for model selection
  36. Meta-learning approach to time-series forecasting: GPR vs. NN models in a MIMO setting
  37. Tourism trends in the world's main destinations
  38. A two-step approach to quantify survey expectations
  39. Data pre-processing for neural network-based forecasting
  40. A new forecasting approach for the hospitality industry
  41. Multiple-input Multiple-output vs. Single-input Single-output Forecasting
  42. Combination of machine learning forecasts at a regional level
  43. Multivariate positioning of graduate students, academics and entrepreneurs’ expectations
  44. Modelling tourism demand to Spain with machine learning techniques
  45. Evaluation of different neural network models for tourism demand forecasting
  46. Neural network forecasting of tourism demand
  47. Tourism demand forecasting using survey-based expectations
  48. Survey expectations for economic forecasting