All Stories

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