EconPapers    
Economics at your fingertips  
 

Government Spending Multipliers in (Un)certain Times

Jan Philipp Fritsche, Mathias Klein and Malte Rieth ()

No 1901, Discussion Papers of DIW Berlin from DIW Berlin, German Institute for Economic Research

Abstract: We estimate the dynamic effects of government spending shocks, using time-varying volatility in US data modeled through a Markov switching process. We find that the average government spending multiplier is significantly and persistently above one, driven by a crowding-in of private consumption and non-residential investment. We rationalize the results empirically through a contemporaneously countercyclical response of government spending and an efficient weighting of observations inversely to their error variance. We then show that the multiplier is significantly smaller when volatility is high, consistent with theories predicting reduced effectiveness of fiscal interventions in uncertain times.

Keywords: Fiscal policy; government spending multiplier; uncertainty; structural vector autoregressions; heteroskedasticity (search for similar items in EconPapers)
JEL-codes: C32 E62 H50 (search for similar items in EconPapers)
Pages: 32 p.
Date: 2020
New Economics Papers: this item is included in nep-mac and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.diw.de/documents/publikationen/73/diw_01.c.799539.de/dp1901.pdf (application/pdf)

Related works:
Journal Article: Government spending multipliers in (un)certain times (2021) Downloads
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:diw:diwwpp:dp1901

Access Statistics for this paper

More papers in Discussion Papers of DIW Berlin from DIW Berlin, German Institute for Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by Bibliothek ().

 
Page updated 2025-03-30
Handle: RePEc:diw:diwwpp:dp1901