2011
DOI: 10.1093/qje/qjq008
|View full text |Cite
|
Sign up to set email alerts
|

Identifying Government Spending Shocks: It's all in the Timing*

Abstract: , and numerous participants in seminars for helpful comments. Thomas Stark of the Federal Reserve Bank of Philadelphia generously provided unpublished forecasts. Ben Backes and Chris Nekarda provided outstanding research assistance. I gratefully acknowledge financial support from National Science Foundation grant SES-0617219 through the NBER. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circul… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

69
1,380
5
24

Year Published

2011
2011
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 1,320 publications
(1,542 citation statements)
references
References 38 publications
(50 reference statements)
69
1,380
5
24
Order By: Relevance
“…Such multipliers are often found to be of modest amount, typically lower than one (Barro and Redlick (2011), Ramey (2011a)). However, the quantiÖcation of Öscal multipliers with standard VARs is controversial for two reasons.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Such multipliers are often found to be of modest amount, typically lower than one (Barro and Redlick (2011), Ramey (2011a)). However, the quantiÖcation of Öscal multipliers with standard VARs is controversial for two reasons.…”
Section: Introductionmentioning
confidence: 99%
“…Perotti (1999) shows that Öscal multipliers may depend on the debt-to-GDP ratio in place when Öscal shocks occur. For a DSGE-based quantiÖcation of Öscal multipliers in presence of normal vs. abnormal debt-to-GDP ratios, see Cantore, are likely to be of great relevance in the transmission of Öscal policy shocks, a phenomenon often referred to as "Öscal foresight" (see, among others, Yang (2005), Fisher and Peters (2010), Mertens and Ravn (2011), Ramey (2011b), Gambetti (2012aGambetti ( , 2012b, Kriwoluzky (2012), Leeper, Walker, and Yang (2013)). Modeling a standard set of U.S. variables with a medium-scale structural model that allows for foresight up to eight quarters, Schmitt-Grohe and Uribe (2012) Önd that about sixty percent of the variance of government spending is due to anticipated shocks.…”
Section: Introductionmentioning
confidence: 99%
“…While this is a very intriguing question, we leave the use of higher frequency indices in a quarterly model under other specifications (such as MiDAS framework) for future research. 4 Foresight issues have also been dealt with through the use of the "narrative method", which however suffers from the subjectiveness in the selection of the "news" variable (see (Ramey 2011) and (Owyang et al 2013) for a detailed view of the methodology).…”
mentioning
confidence: 99%
“…Only recently, Ramey [3] presented the evidence consistent with this prediction. However, several other studies report the positive impact of government spending shock on private consumption (e.g., Galí et al [4]; Beetsma and Giuliodori [5]).…”
Section: Introductionmentioning
confidence: 84%