All Stories

  1. A different look at the nexus between entrepreneurship and development
  2. Redistribution and development in Latin America
  3. Uncertainty and suicide mortality in England
  4. Redistribution and development in Europe
  5. Deployment of solar and wind energy in Europe
  6. Inequality and redistribution
  7. A new indicator of labour market uncertainty
  8. Machine-learning sentiment indicators for European countries
  9. Assessment of the impact of economic uncertainty on suicide worldwide
  10. Economic uncertainty and suicide
  11. Economic uncertainty: Firms vs consumers
  12. Correction to: A new metric of consensus for Likert-type scale questionnaires: an application to consumer expectations
  13. A new measure of consensus (dissent) for qualitative scales
  14. Spectral analysis of business and consumer survey expectations
  15. Business and consumer survey data for economic forecasting
  16. A genetic programming approach for estimating economic sentiment
  17. Nowcasting and forecasting GDP growth with machine-learning sentiment indicators
  18. Agree to disagree: Discrepancy between firms' and households' expectations
  19. Economic forecasting with evolved confidence indicators
  20. Three dimensions of uncertainty: economic, inflation and employment
  21. Natural resources and human development
  22. Time series features and machine learning forecasts
  23. Evaluation of the effect of economic news on consumer unemployment expectations
  24. Unemployment rate forecasting using consumer expectations
  25. A geometric indicator to proxy economic uncertainty
  26. A new unemployment indicator based on the consensus among consumers’ expectations
  27. Empirical modelling of economic expectations in European regions
  28. Tracking economic growth by evolving expectations via genetic programming
  29. A new metric of consensus for Likert-type scales
  30. Evolutionary computation for macroeconomic forecasting
  31. Economic forecasting with survey expectations combined by means evolutionary algorithms
  32. Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators
  33. Positioning of the world's top ten tourist destinations
  34. Assessing the development of students' competencies by means of perceptual maps
  35. Detecting potential competitors between emerging tourism markets
  36. A data-driven approach to construct economic indicators from tendency surveys
  37. Quantification of qualitative information about the direction of change
  38. Assessment of the effect of the financial crisis on agents’ expectations
  39. A self-organizing map analysis of agents׳ expectations for model selection
  40. Meta-learning approach to time-series forecasting: GPR vs. NN models in a MIMO setting
  41. Tourism trends in the world's main destinations
  42. A two-step approach to quantify survey expectations
  43. Data pre-processing for neural network-based forecasting
  44. A new forecasting approach for the hospitality industry
  45. Multiple-input Multiple-output vs. Single-input Single-output Forecasting
  46. Combination of machine learning forecasts at a regional level
  47. Multivariate positioning of graduate students, academics and entrepreneurs’ expectations
  48. Modelling tourism demand to Spain with machine learning techniques
  49. Self-Organizing Map Analysis of Agents' Expectations. Different Patterns of Anticipation of the 2008 Financial Crisis
  50. Evaluation of different neural network models for tourism demand forecasting
  51. Neural network forecasting of tourism demand
  52. Tourism demand forecasting using survey-based expectations
  53. Survey expectations for economic forecasting