Bootstrapping and Forecast Uncertainty: A Monte Carlo Analysis

For certain kinds of problems such as capacity planning, the estimate of forecast uncertainty may be as important as the prediction itself. Earlier research (Veall, 1985) has applied Efron’s bootstrapping technique to a linear regression forecast of peak demand for Ontario Hydro. This paper presents a limited Monte Carlo analysis to assess the potential accuracy of bootstrapping for this example.