All Stories

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