Predictive Consequences of Using Conditioning or Causal Variables
Forecasts based on two information sets, one of which includes the other plus additional causal variables are considered. Given a general cost function of forecast errors, it is shown that the expected cost is smaller for the information set that includes the causal variables.
Volume (Year): 3 (1987)
Issue (Month): 01 (February)
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