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Electricity demand is modeled as a time-varying parameters (TVP) vector autoegression with or without imposing …
Persistent link: https://www.econbiz.de/10014193091
Estimating demand for wide assortments of differentiated goods requires the specification of a demand system that is … parameters within a log-linear demand system where the number of price elasticity parameters grows quadratically in the number of … elasticities and demand predictions can be improved by imposing shrinkage to higher-level group effects rather than zero …
Persistent link: https://www.econbiz.de/10013231133
external demand forecast faster than is currently possible. The external demand forecast helps to forecast exports and, through … with the help thereof - their external demand, relying on BVAR models and using monthly time series (confidence indices … than on the rolling sample. The forecast of external demand is also more accurate if we use the whole sample. The most …
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This research examined whether people can accurately predict the risk preferences of others.Three experiments featuring different designs revealed a systematic bias: that participants predicted others to be more risk seeking than themselves in risky choices, regardless of whether the choices...
Persistent link: https://www.econbiz.de/10014026773
This research explores whether there are systematic cross-national differences in choice-inferred risk preferences between Americans and Chinese. Study 1 found(a) that the Chinese were signi®cantly more risk seeking than the Americans, yet(b) that both nationals predicted exactly the opposite...
Persistent link: https://www.econbiz.de/10014026775
Reinforcement learning theory has produced important insights into economic behavior. Intriguingly, neuroscientists recently discovered a plausible mechanism through which reinforcement may be encoded in the brain. Yet their resulting quot;dopaminergic reward prediction errorquot; hypothesis has...
Persistent link: https://www.econbiz.de/10012730189