Macroeconomic Modelling and Bayesian Methods

Pami Dua

Chapter Chapter 2 in Macroeconometric Methods, 2023, pp 19-37 from Springer

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. This paper is based on my Presidential Address to the 52nd Annual Conference of the Indian Econometric Society.

Keywords: Macroeconomic modelling; Bayesian methods; Time series (search for similar items in EconPapers)
JEL-codes: C11 C2 C3 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Macroeconomic Modelling and Bayesian Methods (2017)
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:sprchp:978-981-19-7592-9_2

Ordering information: This item can be ordered from
http://www.springer.com/9789811975929

DOI: 10.1007/978-981-19-7592-9_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).