Advances in Forecast Evaluation
نویسندگان
چکیده
This paper surveys recent developments in the evaluation of point forecasts. Taking Wests (2006) survey as a starting point, we briey cover the state of the literature as of the time of Wests writing. We then focus on recent developments, including advancements in the evaluation of forecasts at the population level (based on true, unknown model coe¢ cients), the evaluation of forecasts in the nite sample (based on estimated model coe¢ cients), and the evaluation of conditional versus unconditional forecasts. We present original results in a few subject areas: the optimization of power in determining the split of a sample into in-sample and out-of-sample portions; whether the accuracy of inference in evaluation of multi-step forecasts can be improved with judicious choice of HAC estimator (it can); and the extension of Wests (1996) theory results for population-level, unconditional forecast evaluation to the case of conditional forecast evaluation. JEL Nos.: C53, C12, C52
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تاریخ انتشار 2012