EconPapers    
Economics at your fingertips  
 

The effectiveness of fiscal policy in Brazil through the MIDAS Lens

Renan Santos Alves and Andreza Palma (drepalma@gmail.com)

Journal of Policy Modeling, 2024, vol. 46, issue 1, 113-128

Abstract: This paper aims to examine the effects of fiscal policy on economic growth in Brazil between 1999 and 2017. For this purpose, a novel methodology is applied, using a Vector Autoregressive with Mixed Frequency (MIDAS-VAR) model, proposed by Ghysels (2016), which allows for the estimation of the spending multiplier by measuring the impact of high-frequency data at low-frequency and vice versa. The impact of various types of spending on the gross domestic product (GDP) is analyzed, including primary expenditure, personnel, social benefits, subsidies, investment, and costing, while the central government’s primary revenue is used as the revenue variable. The expenditure and tax revenue are the high-frequency variables (monthly observations), whereas GDP is a low-frequency series (quarterly). The estimated fiscal multipliers for primary spending are less than one, suggesting no significant Keynesian effect on output, with particular attention given to the investment multiplier, which is estimated to be close to zero. Our results suggest that the frequency of data matters, and government expenditure has no significant impact on real GDP growth in Brazil. Therefore, the ability of Brazilian fiscal policy to influence economic growth may be limited.

Keywords: Fiscal multiplier; Mixed frequency vector autoregression; Mixed data sampling; Fiscal Policy (search for similar items in EconPapers)
JEL-codes: C32 C53 E62 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0161893823001187
Full text for ScienceDirect subscribers only

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:eee:jpolmo:v:46:y:2024:i:1:p:113-128

DOI: 10.1016/j.jpolmod.2023.10.004

Access Statistics for this article

Journal of Policy Modeling is currently edited by A. M. Costa

More articles in Journal of Policy Modeling from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).

 
Page updated 2025-03-23
Handle: RePEc:eee:jpolmo:v:46:y:2024:i:1:p:113-128