Cite This        Tampung        Export Record
Judul Dynamics Econometrics : Advanced Texts in Econometrics
Pengarang Hendry, David F.
Granger C.W.J
Mizon G.E.
Penerbitan Oxford, New York : Oxford University Press, 1997
Deskripsi Fisik xxxiv, 869p. :ill. ;24 cm
ISBN 0-19-828317-2
Subjek Econometrics
Teori Ekonomi
Abstrak This systematic and integrated framework for econometric modelling is organized in terms of three levels of knowledge: probability, estimation, and modelling. All necessary concepts of econometrics (including exogeneity and encompassing), models, processes, estimators, and inference procedures (centred on maximum likelihood) are discussed with solved examples and exercises. Practical problems in empirical modelling, such as model discovery, evaluation, and data mining are addressed, and illustrated using the software system PcGive. Background analyses cover matrix algebra, probability theory, multiple regression, stationary and non-stationary stochastic processes, asymptotic distribution theory, Monte Carlo methods, numerical optimization, and macro-econometric models. The reader will master the theory and practice of modelling non-stationary (cointegrated) economic time series, based on a rigorous theory of reduction.
Bahasa Inggris
Bentuk Karya Bukan fiksi atau tidak didefinisikan
Target Pembaca Umum

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
3439/PSEKP/2026 330.115 HEN d Dapat dipinjam Perpustakaan Pusat Sosial Ekonomi dan Kebijakan Pertanian - Ruang Baca Umum Tersedia
Tag Ind1 Ind2 Isi
001 INLIS000000000003679
005 20260713095931
008 260713################g##########0#eng##
020 # # $a 0-19-828317-2
035 # # $a 0010-0121002045
082 # # $a 330.115
084 # # $a 330.115 HEN d
100 1 # $a Hendry, David F.
245 1 # $a Dynamics Econometrics : $b Advanced Texts in Econometrics
260 # # $a Oxford, New York :$b Oxford University Press,$c 1997
300 # # $a xxxiv, 869p. : $b ill. ; $c 24 cm
520 # # $a This systematic and integrated framework for econometric modelling is organized in terms of three levels of knowledge: probability, estimation, and modelling. All necessary concepts of econometrics (including exogeneity and encompassing), models, processes, estimators, and inference procedures (centred on maximum likelihood) are discussed with solved examples and exercises. Practical problems in empirical modelling, such as model discovery, evaluation, and data mining are addressed, and illustrated using the software system PcGive. Background analyses cover matrix algebra, probability theory, multiple regression, stationary and non-stationary stochastic processes, asymptotic distribution theory, Monte Carlo methods, numerical optimization, and macro-econometric models. The reader will master the theory and practice of modelling non-stationary (cointegrated) economic time series, based on a rigorous theory of reduction.
650 # 4 $a Econometrics
650 # 4 $a Teori Ekonomi
700 1 # $a Granger C.W.J
700 1 # $a Mizon G.E.
990 # # $a 3439/PSEKP/2026
Content Unduh katalog