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Dynamic Econometrics : (Record no. 48034)

MARC details
000 -LEADER
fixed length control field 02164cam a2200313 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field RNL
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260330055448.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220107s2021 fr a b 001 0 fre
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031729096
040 ## - CATALOGING SOURCE
Original cataloging agency RCL
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 330.0151 B69D
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bismans, Francis J.
245 10 - TITLE STATEMENT
Title Dynamic Econometrics :
Sub Title Models and Applications
Statement of responsibility, etc / Francis J. Bismans , Olivier Damette
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication Cham:
Name of publisher Palgrave Macmillan Cham,
Year of publication 2025.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xix, 349p ; 23cm.
Other physical details illustrations ;
490 0# - SERIES STATEMENT
Series statement Bibliothèque de l'économiste,
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 301-328) and index.
520 ## - SUMMARY, ETC.
Summary, etc This textbook for advanced econometrics students introduces key concepts of dynamic non-stationary modelling. It discusses all the classic topics in time series analysis and linear models containing multiple equations, as well as covering panel data models, and non-linear models of qualitative variables.<br/>The book offers a general introduction to dynamic econometrics and covers topics including non-stationary stochastic processes, unit root tests, Monte Carlo simulations, heteroskedasticity, autocorrelation, cointegration and error correction mechanism, models specification, and vector autoregressions. Going beyond advanced dynamic analysis, the book also meticulously analyses the classical linear regression model (CLRM) and introduces students to estimation and testing methods for the more advanced auto-regressive distributed lag (ARDL) model. The book incorporates worked examples, algebraic explanations and learning exercises throughout. It will be a valuable resource for graduate and postgraduate students in econometrics and quantitative finance as well as academic researchers in this area.
546 ## - LANGUAGE NOTE
Language note English
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Econometrics,
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Economic Theory
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Quantitative Economics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical Methods
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Applications of Mathematics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistical Theory and Methods
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Damette, Olivier
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://link.springer.com/book/10.1007/978-3-031-72910-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Full call number Accession Number Cost, replacement price Lost status Damaged status Price effective from Koha item type Not for loan Collection code Withdrawn status Home library Current library Shelving location Date acquired Cost, normal purchase price
330.0151 B69D 65869 7979.69     03/30/2026 Books   Statistics Department Books   RCL RCL General Stacks 03/06/2026 7979.69

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