BOOTSTRAPPING THE LONG RUN
Timothy Conley (),
Lars Hansen and
Wen-Fang Liu ()
Macroeconomic Dynamics, 1997, vol. 1, issue 2, 279-311
We develop and apply bootstrap methods for diffusion models when fitted to the long run as characterized by the stationary distribution of the data. To obtain bootstrap refinements to statistical inference, we simulate candidate diffusion processes. We use these bootstrap methods to assess measurements of local mean reversion or â€œpullâ€ to the center of the distribution for short-term interest rates. We also use them to evaluate the fit of the model to the empirical density.
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