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Consider the following forecasting model: y_{t+1} = x_t beta + epsilon_{t+1}, epsilon_t sim iid(0,1). Guide the researcher (in detail) in constructing a one-step ahead mean
Consider the following forecasting model: y_{t+1} = x_t \beta + \epsilon_{t+1}, \epsilon_t \sim iid(0,1). Guide the researcher (in detail) in constructing a one-step ahead mean forecast of the target variable y_{t+1} using a rolling window estimation scheme
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Elementary Linear Algebra with Applications
Authors: Bernard Kolman, David Hill
9th edition
132296543, 978-0132296540
