Macroeconomic Modelling and Bayesian Methods
Pami Dua
Journal of Quantitative Economics, 2017, vol. 15, issue 2, No 1, 209-226
Abstract:
Abstract This paper discusses the evolution of macroeconomic modelling. In particular, it focuses on Bayesian methods and provides some applications of the Bayesian Vector Autoregression methods to the Indian economy.
Keywords: Macroeconomic modelling; Bayesian methods; Time series; C11; C2; C3 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s40953-017-0077-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
Chapter: Macroeconomic Modelling and Bayesian Methods (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jqecon:v:15:y:2017:i:2:d:10.1007_s40953-017-0077-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40953
DOI: 10.1007/s40953-017-0077-4
Access Statistics for this article
Journal of Quantitative Economics is currently edited by Dilip Nachane and P.G. Babu
More articles in Journal of Quantitative Economics from Springer, The Indian Econometric Society (TIES) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().