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predictive power of disagreement amongst forecasters. The premise is that this variable could signal upcoming structural or … variety of macroeconomic variables, and we use different measurements for the degree of disagreement, together with measures … compared on forecast accuracy. We find that disagreement has predictive power indeed and that this variable can be used to …
Persistent link: https://www.econbiz.de/10011381819
predictive power of disagreement amongst forecasters. The premise is that this variable could signal upcoming structural or … variety of macroeconomic variables, and we use different measurements for the degree of disagreement, together with measures … compared on forecast accuracy. We find that disagreement has predictive power indeed and that this variable can be used to …
Persistent link: https://www.econbiz.de/10011257584
predictive power of disagreement amongst forecasters. The premise is that this variable could signal upcoming structural or … variety of macroeconomic variables, and we use different measurements for the degree of disagreement, together with measures … compared on forecast accuracy. We find that disagreement has predictive power indeed and that this variable can be used to …
Persistent link: https://www.econbiz.de/10008838561
predictive power of disagreement amongst forecasters. The premise is that this variable could signal upcoming structural or … variety of macroeconomic variables, and we use different measurements for the degree of disagreement, together with measures … compared on forecast accuracy. We find that disagreement has predictive power indeed and that this variable can be used to …
Persistent link: https://www.econbiz.de/10010326050
predictive power of disagreement amongst forecasters. The premise is that this variable could signal upcoming structural or … variety of macroeconomic variables, and we use different measurements for the degree of disagreement, together with measures … compared on forecast accuracy. We find that disagreement has predictive power indeed and that this variable can be used to …
Persistent link: https://www.econbiz.de/10008646230
See also the article with the same title in the 'Journal of Forecasting' (2013), 33, 69-79.<P> We analyze the behavior of experts who quote forecasts for monthly SKU-level sales data where we compare data before and after the moment that experts received different kinds of feedback on their...</p>
Persistent link: https://www.econbiz.de/10011255606
We propose a new and simple methodology to estimate the loss function associated with experts' forecasts. Under the assumption of conditional normality of the data and the forecast distribution, the asymmetry parameter of the lin-lin and linex loss function can easily be estimated using a linear...
Persistent link: https://www.econbiz.de/10011257050
Experts can rely on statistical model forecasts when creating their own forecasts. Usually it is not known what experts actually do. In this paper we focus on three questions, which we try to answer given the availability of expert forecasts and model forecasts. First, is the expert forecast...
Persistent link: https://www.econbiz.de/10011257244
Experts can rely on statistical model forecasts when creating their own forecasts. Usually it is not known what experts actually do. In this paper we focus on three questions, which we try to answer given the availability of expert forecasts and model forecasts. First, is the expert forecast...
Persistent link: https://www.econbiz.de/10009321847
We analyze the behavior of experts who quote forecasts for monthly SKU-level sales data where we compare data before and after the moment that experts received different kinds of feedback on their behavior. We have data for 21 experts located in as many countries who make SKU-level forecasts for...
Persistent link: https://www.econbiz.de/10009322996