
handle: 10419/323616
Each person’s characteristics may influence that person’s behaviors and outcomes. This study builds and uses a new database to estimate experts’ performance and boldness based on their experience and characteristics. Our study classifies experts providing inflation forecasts based on their education, experience, gender, and environment. We provide alternative interpretations of factors affecting experts’ inflation forecasting performance, boldness, and pessimism by linking behavioral economics, the economics of education, and forecasting literature. The study finds that an expert with previous experience at a central bank appears to have a lower propensity for predicting deflation.
Panel estimation, JEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C53 - Forecasting and Prediction Methods • Simulation Methods, 330, Survey forecast, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, JEL: E - Macroeconomics and Monetary Economics/E.E7 - Macro-Based Behavioral Economics/E.E7.E70 - General, Business Fluctuations, E70, Expert behavior, and Cycles/E.E3.E37 - Forecasting and Simulation: Models and Applications, [STAT.AP] Statistics [stat]/Applications [stat.AP], [SHS.STAT] Humanities and Social Sciences/Methods and statistics, Expert forecast, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, C53, [STAT.AP]Statistics [stat]/Applications [stat.AP], [SHS.STAT]Humanities and Social Sciences/Methods and statistics, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, ddc:330, E37, JEL: E - Macroeconomics and Monetary Economics/E.E3 - Prices, Survival analysis, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Global financial crisis, C83, Behavioral economics, C81
Panel estimation, JEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C53 - Forecasting and Prediction Methods • Simulation Methods, 330, Survey forecast, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, JEL: E - Macroeconomics and Monetary Economics/E.E7 - Macro-Based Behavioral Economics/E.E7.E70 - General, Business Fluctuations, E70, Expert behavior, and Cycles/E.E3.E37 - Forecasting and Simulation: Models and Applications, [STAT.AP] Statistics [stat]/Applications [stat.AP], [SHS.STAT] Humanities and Social Sciences/Methods and statistics, Expert forecast, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, C53, [STAT.AP]Statistics [stat]/Applications [stat.AP], [SHS.STAT]Humanities and Social Sciences/Methods and statistics, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, ddc:330, E37, JEL: E - Macroeconomics and Monetary Economics/E.E3 - Prices, Survival analysis, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Global financial crisis, C83, Behavioral economics, C81
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
