All Stories

  1. Weak Exogeneity, Driving Trends and Non‐Causality Is Dynamic Adjustment Informative About Causality?
  2. Do professionals’ inflation forecasts incorporate the beliefs of others? A functional data approach
  3. Real-time Tests of behavioural Biases in Professional Inflation Forecasts
  4. Inconsistent survey histograms and point forecasts revisited
  5. Introduction to the Handbook of Research Methods and Applications in Macroeconomic Forecasting
  6. Real-time data and forecasting
  7. Survey expectations and adjustments for multiple testing
  8. Survey respondents' inflation forecasts and the COVID period
  9. Do professional forecasters believe in the Phillips curve?
  10. Does the age of compensation committee members matter for CEO compensation?
  11. How local is the local inflation factor? Evidence from emerging European countries
  12. Density forecasting with Bayesian Vector Autoregressive models under macroeconomic data uncertainty
  13. Forecasting GDP growth rates in the United States and Brazil using Google Trends
  14. Individual forecaster perceptions of the persistence of shocks to GDP
  15. Measuring the Effects of Expectations Shocks
  16. Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others?
  17. Rounding Behaviour of Professional Macro-Forecasters
  18. Independent directors, information costs and foreign ownership in Chinese companies
  19. Did Quantitative Easing Only Inflate Stock Prices? Macroeconomic Evidence from the US and UK
  20. Do US Macroeconomic Forecasters Exaggerate their Differences?
  21. Are Professional Macroeconomic Forecasters Able To Do Better Than Forecasting Trends?
  22. Robust approaches to forecasting
  23. Assessing Macro Uncertainty in Real-Time When Data are Subject to Revision
  24. Forecasters' Disagreement About How the Economy Operates, and the Role of Long-Run Relationships
  25. US Inflation Expectations and Heterogeneous Loss Functions, 1968-2010
  26. Forecasting with vector autoregressive models of data vintages: US output growth and inflation
  27. Do professional forecasters pay attention to data releases?
  28. Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty
  29. The Oxford Handbook of Economic Forecasting
  30. Introduction
  31. Forecasting from misspecified Models in the Presence of Unanticipated Location Shifts
  32. Combining probability forecasts
  33. First announcements and real economic activity
  34. Explanations of the inconsistencies in survey respondents’ forecasts
  35. Comments on “Forecasting economic and financial variables with global VARs”
  36. Forecast encompassing tests and probability forecasts
  37. Internal Consistency of Survey Respondents' Forecasts: Evidence Based on the Survey of Professional Forecasters*
  38. Economic Forecasting in a Changing World
  39. Consensus and uncertainty: Using forecast probabilities of output declines
  40. Bootstrap prediction intervals for autoregressive time series
  41. FORECASTING QUARTERLY AGGREGATE CRIME SERIES*
  42. Evaluating Econometric Forecasts of Economic and Financial Variables
  43. Pooling of forecasts
  44. A Companion to Economic Forecasting
  45. Economic forecasting: some lessons from recent research
  46. On SETAR non-linearity and forecasting
  47. Evaluating interval forecasts of high-frequency financial data
  48. Some possible directions for future research
  49. Economic Forecasting: Some Lessons from Recent Research
  50. Modelling methodology and forecast failure
  51. Comments on ‘The state of macroeconomic forecasting’
  52. Evaluating multivariate forecast densities: a comparison of two approaches
  53. Can oil shocks explain asymmetries in the US Business Cycle?
  54. Can oil shocks explain asymmetries in the US Business Cycle?
  55. Forecasting in Econometrics: editors’ introduction
  56. Bootstrapping prediction intervals for autoregressive models
  57. On winning forecasting competitions in economics
  58. An introduction to forecasting
  59. Evaluating forecast accuracy
  60. Forecasting with large-scale macroeconometric models
  61. A theory of intercept corrections: beyond mechanistic forecasts
  62. Forecasting economic processes
  63. Forecasting economic time series
  64. The performance of alternative forecasting methods for SETAR models
  65. Evaluating the Rationality of Fixed-event Forecasts
  66. Evaluating the Rationality of Fixed‐event Forecasts
  67. MULTI‐STEP ESTIMATION FOR FORECASTING
  68. Forecasting in macro-economics Michael P. Clements
  69. Macro-Economic Forecasting and Modelling
  70. Forecasting in cointegrated systems
  71. Rationality and the Role of Judgement in Macroeconomic Forecasting
  72. A reply to armstrong and fildes
  73. On the limitations of comparing mean square forecast errors: A reply
  74. Empirical analysis of macroeconomic time series
  75. THE WORLD AND UK ECONOMY: ANALYSIS AND PROSPECTS
  76. THE UK ECONOMY: ANALYSIS AND PROSPECTS
  77. THE WORLD ECONOMY: ANALYSIS AND PROSPECTS
  78. THE UK ECONOMY: ANALYSIS AND PROSPECTS
  79. THE UK ECONOMY: ANALYSIS AND PROSPECTS
  80. Forecasting in cointegrated systems
  81. Forecasting using leading indicators
  82. An Overview of Economic Forecasting
  83. Explaining Forecast Failure in Macroeconomics
  84. Do US Macroeconomic Forecasters Exaggerate Their Differences?
  85. Measuring Macroeconomic Uncertainty: US Inflation and Output Growth
  86. Real-Time Factor Model Forecasting and the Effects of Instability
  87. Long-Run Restrictions and Survey Forecasts of Output, Consumption and Investment
  88. Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth and Inflation
  89. Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets