Exploring Nowcasting Techniques for Real-Time GDP Estimation in Bhutan

Karma Minjur Phuntsho Dorji

MPRA Paper from University Library of Munich, Germany

Abstract: In various policy institutions, current estimates of quarterly GDP growth are frequently employed to advise decision makers on the current state of the economy. The bridge equation serves as a fundamental model for nowcasting, elucidating GDP growth through the utilization of time-aggregated business cycle indicators. Recent academic literature has shown significant interest in an alternative method for nowcasting known as mixed-data sampling, abbreviated as MIDAS. Given this context, the paper examines the following questions: How can we estimate the annual GDP of Bhutan through MIDAS and bridge equations? Do they matter for nowcasting GDP growth in practice? By addressing these questions, the study aims to to provide insights into the application and comparative efficacy of these nowcasting techniques in an empirical context.

Keywords: Bridge equations; Mixed-data Sampling (MIDAS); GDP; nowcasting. (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Date: 2024-06-30, Revised 2024-06-30
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/121380/1/MPRA_paper_121380.pdf original version (application/pdf)

Related works:
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:pra:mprapa:121380

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().