Compartir
Finance and Economics Discussion Series: Signal Extraction for Nonstationary Multivariate Time Series with Illustrations for Trend Inflation (en Inglés)
United States Federal Reserve Board
(Autor)
·
Tucker S. McElroy
(Autor)
·
Thomas M. Trimbur
(Autor)
·
Bibliogov
· Tapa Blanda
Finance and Economics Discussion Series: Signal Extraction for Nonstationary Multivariate Time Series with Illustrations for Trend Inflation (en Inglés) - McElroy, Tucker S. ; Trimbur, Thomas M. ; United States Federal Reserve Board
$ 44.744
$ 55.930
Ahorras: $ 11.186
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 Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Lunes 05 de Agosto y el
Miércoles 14 de Agosto.
Lo recibirás en cualquier lugar de Argentina entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Finance and Economics Discussion Series: Signal Extraction for Nonstationary Multivariate Time Series with Illustrations for Trend Inflation (en Inglés)"
This paper advances the theory and methodology of signal extraction by introducing asymptotic and finite sample formulas for optimal estimators of signals in nonstationary multivariate time series. Previous literature has considered only univariate or stationary models. However, in current practice and research, econometricians, macroeconomists, and policy-makers often combine related series - that may have stochastic trends--to attain more informed assessments of basic signals like underlying inflation and business cycle components. Here, we use a very general model structure, of widespread relevance for time series econometrics, including flexible kinds of nonstationarity and correlation patterns and specific relationships like cointegration and other common factor forms. First, we develop and prove the generalization of the well-known Wiener-Kolmogorov formula that maps signal-noise dynamics into optimal estimators for bi-infinite series. Second, this paper gives the first explicit treatment of finite-length multivariate time series, providing a new method for computing signal vectors at any time point, unrelated to Kalman filter techniques; this opens the door to systematic study of near end-point estimators/filters, by revealing how they jointly depend on a function of signal location and parameters. As an illustration we present econometric measures of the trend in total inflation that make optimal use of the signal content in core inflation.
- 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.
