All Stories

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