New method improves accuracy of economic forecasting in small datasets.
The article discusses ways to improve the estimation of a model when the autoregressive parameter is high and the number of observations is low. By adding initial values as regressors or imposing a mild restriction on initial conditions, more accurate estimates can be obtained. These new methods outperform the standard approach, especially for high autoregressive parameters.
