Logo

Pusat Sumber Belajar FEB UI

  • FAQ
  • Berita
  • Rooms
  • Bantuan
  • Area Anggota
  • Pilih Bahasa :
    Bahasa Inggris Bahasa Indonesia
  • Search
  • Google
  • Advanced Search
*sometimes there will be ads at the top, just scroll down to the results of this web
Image of Topics in structural VAR econometrics

Text

Topics in structural VAR econometrics

Amisano, Gianni - ; Gianini, Carlo - ;

In recent years a growing interest in the structural V AR approach (SV AR) has followed the path-breaking works by Blanchard and Watson (1986), Bernanke (1986) and Sims (1986), especially in the U.S. applied macroeconometric literature. The approach can be used in two different, partially overlapping, directions: the interpretation of business cycle fluctuations of a small number of significant macroeconomic variables and the identification of the effects of different policies. SV AR literature shows a common feature: the attempt to "organise", in a "structural" theoretical sense, instantaneous correlations among the relevant variables. In non-structural V AR modelling, instead, correlations are normally hidden in the variance­ covariance matrix of the V AR model innovations. of independent V AR analysis tries to isolate ("identify") a set shocks by means of a number of meaningful theoretical restrictions. The shocks can be regarded as the ultimate source of stochastic variation of the vector of variables which can all be seen as potentially endogenous. Looking at the development of SV AR literature we felt that it still lacked a formal general framework which could embrace the several types of models so far proposed for identification and estimation. This is the second edition of the book, which originally appeared as number 381 of the Springer series "Lecture notes in Economics of the first edition was Carlo and Mathematical Systems". The author Giannini.


Ketersediaan

Call NumberLocationAvailable
330.015195 AMI tPSB lt.1 - B. Penunjang1
PenerbitNew York: Springer 1998
Edisi2nd rev. and enlarged ed
SubjekEconometrics
Value at risk
VaR
ISBN/ISSN3540619429
KlasifikasiNONE
Deskripsi Fisikxiii, 181 p. : ill. ; 24 cm.
Info Detail Spesifik-
Other Version/RelatedTidak tersedia versi lain
Lampiran BerkasTidak Ada Data

Pencarian Spesifik
Where do you want to share?