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- 000 02149cam a2200349 i 4500
- 008 170309t20172017enka 000 0 eng d
- 020 __ |a 9781107196575 : |c CNY984.26
- 035 __ |a (OCoLC)ocn975035922
- 040 __ |a YDX |b eng |e rda |c YDX
- 050 _4 |a HB141 |b .K55 2017
- 082 04 |a 330.01/519536 |2 23
- 100 1_ |a Kilian, Lutz, |e author.
- 245 10 |a Structural vector autoregressive analysis / |c Lutz Kilian, Helmut Lütkepohl.
- 260 __ |a Cambridge, United Kingdom ; |a New York, NY, USA : |b Cambridge University Press, |c c2017.
- 300 __ |a xx, 734 pages : |b illustrations ; |c 23 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 1_ |a Themes in modern econometrics
- 504 __ |a Includes bibliographical references and indexes.
- 520 8_ |a Structural vector autoregressive (VAR) models are important tools for empirical work in macroeconomics, finance, and related fields. This book not only reviews the many alternative structural VAR approaches discussed in the literature, but also highlights their pros and cons in practice. It provides guidance to empirical researchers as to the most appropriate modeling choices, methods of estimating, and evaluating structural VAR models. The book traces the evolution of the structural VAR methodology and contrasts it with other common methodologies, including dynamic stochastic general equilibrium (DSGE) models. It is intended as a bridge between the often quite technical econometric literature on structural VAR modeling and the needs of empirical researchers. The focus is not on providing the most rigorous theoretical arguments, but on enhancing the reader's understanding of the methods in question and their assumptions. Empirical examples are provided for illustration. -- |c Provided by publisher.
- 650 _0 |a Econometric models.
- 650 _0 |a Autoregression (Statistics)
- 830 _0 |a Themes in modern econometrics.