Compartir
Finance and Economics Discussion Series: On the Finite-Sample Accuracy of Nonparametric Resampling Algorithms for Economic Time Series (en Inglés)
United States Federal Reserve Board
(Autor)
·
Jeremy Berkowitz
(Autor)
·
Bibliogov
· Tapa Blanda
Finance and Economics Discussion Series: On the Finite-Sample Accuracy of Nonparametric Resampling Algorithms for Economic Time Series (en Inglés) - Berkowitz, Jeremy ; United States Federal Reserve Board ; Et Al
$ 12.60
$ 15.75
Ahorras: $ 3.15
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis ListasSe enviará desde nuestra bodega entre el
Lunes 15 de Julio y el
Martes 16 de Julio.
Lo recibirás en cualquier lugar de Estados Unidos entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Finance and Economics Discussion Series: On the Finite-Sample Accuracy of Nonparametric Resampling Algorithms for Economic Time Series (en Inglés)"
In recent years, there has been increasing interest in nonparametric bootstrap inference for economic time series. Nonparametric resampling techniques help protect against overly optimistic inference in time series models of unknown structure. They are particularly useful for evaluating the fit of dynamic economic models in terms of their spectra, impulse responses, and related statistics, because they do not require a correctly specified economic model. Notwithstanding the potential advantages of nonparametric bootstrap methods, their reliability in small samples is questionable. In this paper, we provide a benchmark for the relative accuracy of several nonparametric resampling algorithms based on ARMA representations of four macroeconomic time series. For each algorithm, we evaluate the effective coverage accuracy of impulse response and spectral density bootstrap confidence intervals for standard sample sizes. We find that the autoregressive sieve approach based on the encompassing model is most accurate. However, care must be exercised in selecting the lag order of the autoregressive approximation.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Blanda.
✓ Producto agregado correctamente al carro, Ir a Pagar.