EconPapers    
Economics at your fingertips  
 

Aggregate Implications of Lumpy Investment: New Evidence and a DSGE Model

Ruediger Bachmann, Ricardo J Caballero () and Eduardo M.R.A. Engel ()
Additional contact information
Ruediger Bachmann: Yale University

No 1566R, Cowles Foundation Discussion Papers from Cowles Foundation, Yale University

Abstract: The sensitivity of U.S. aggregate investment to shocks is procyclical: the initial response increases by approximately 50% from the trough to the peak of the business cycle. This feature of the data follows naturally froma DSGE model with lumpy microeconomic capital adjustment. Beyond explaining this specific time variation, our model and evidence provide a counterexample to the claim that microeconomic investment lumpiness is inconsequential for macroeconomic analysis.

Keywords: Ss model; RBC model; Time-varying impulse response function; History dependence; Conditional heteroscedasticity; Aggregate shocks; Sectoral shocks; Idiosyncratic shocks; Adjustment costs (search for similar items in EconPapers)
JEL-codes: E10 E22 E30 E32 E62 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-bec, nep-cba, nep-dge and nep-mac
Date: Written
View list of references View citations in EconPapers

Downloads: (external link)
http://cowles.econ.yale.edu/P/cd/d15b/d1566-r.pdf (application/pdf)

Related works:
Working Paper: Aggregate Implications of Lumpy Investment: New Evidence and a DSGE Model (2006) 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: http://EconPapers.repec.org/RePEc:cwl:cwldpp:1566-r

Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.

Access Statistics for this paper

More papers in Cowles Foundation Discussion Papers from Cowles Foundation, Yale University
Address: Yale University, Box 208281, New Haven, CT 06520-8281 USA
Contact information at EDIRC.
Series data maintained by Glena Ames ().

 
Page updated 2009-11-23
Handle: RePEc:cwl:cwldpp:1566-r