Long‐run neutrality of demand shocks: Revisiting Blanchard and Quah (1989) with independent structural shocks*
* This paper is a replication of an original studyAuthor
Abstract
Suggested Citation
DOI: 10.1002/jae.2675
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Moneta, Alessio & Pallante, Gianluca, 2022.
"Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study,"
Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
- Alessio Moneta & Gianluca Pallante, 2020. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," LEM Papers Series 2020/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Lee, Adam & Mesters, Geert, 2024.
"Locally robust inference for non-Gaussian linear simultaneous equations models,"
Journal of Econometrics, Elsevier, vol. 240(1).
- Adam Lee & Geert Mesters, 2021. "Locally Robust Inference for Non-Gaussian Linear Simultaneous Equations Models," Working Papers 1278, Barcelona School of Economics.
- Drautzburg, Thorsten & Wright, Jonathan H., 2023.
"Refining set-identification in VARs through independence,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1827-1847.
- Thorsten Drautzburg & Jonathan H. Wright, 2021. "Refining Set-Identification in VARs through Independence," NBER Working Papers 29316, National Bureau of Economic Research, Inc.
- Thorsten Drautzburg & Jonathan H. Wright, 2021. "Refining Set-Identification in VARs through Independence," Working Papers 21-31, Federal Reserve Bank of Philadelphia.
- Drautzburg, Thorsten & Wright, Jonathan H, 2021. "Refining Set-Identification in VARs through Independence," Economics Working Paper Archive 64575, The Johns Hopkins University,Department of Economics.
- Fiorentini, Gabriele & Sentana, Enrique, 2023.
"Discrete mixtures of normals pseudo maximum likelihood estimators of structural vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 643-665.
- Sentana, Enrique & Fiorentini, Gabriele, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," CEPR Discussion Papers 15411, C.E.P.R. Discussion Papers.
- Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
Replication
This item is a replication of:More about this item
Lists
This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:- Longârun neutrality of demand shocks: Revisiting Blanchard and Quah (1989) with independent structural shocks (Journal of Applied Econometrics 2019) in ReplicationWiki
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:japmet:v:34:y:2019:i:5:p:811-819. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.