The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Housing Market Spillovers: Evidence from an Estimated DSGE Model
Open accessAbstract
We study sources and consequences of fluctuations in the US housing market. Slow technological progress in the housing sector explains the upward trend in real housing prices of the last 40 years. Over the business cycle, housing demand and housing technology shocks explain one-quarter each of the volatility of housing investment and housing prices. Monetary factors explain less than 20 percent, but have played a bigger role in the housing cycle at the turn of the century. We show that the housing market spillovers are nonnegligible, concentrated on consumption rather than business investment, and have become more important over time. (JEL E23, E32, E44, O33, R31)
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Inside the black box: the credit channel of monetary policy transmission
Bernanke, B. S., & Gertler, M. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.27 · Cited by 4,211
Risk Aversion, Wealth, and Background Risk
Guiso, L., & Paiella, M. (2008) · Journal of the European Economic Association · doi:10.1162/jeea.2008.6.6.1109 · Cited by 1,057
Cited by
Industry Dynamics and Competition from Low‐Wage Countries: Evidence on Italy
Federico, S. (2014) · Oxford Bulletin of Economics and Statistics · doi:10.1111/obes.12023 · Cited by 281
Imperfect Information, Real‐Time Data and Monetary Policy in the Euro Area
Neri, S., & Ropele, T. (2012) · The Economic Journal · doi:10.1111/j.1468-0297.2011.02488.x · Cited by 269
Self-citationGupta, R., Kabundi, A., & Miller, S. M. (2011) · Economic Modelling · doi:10.1016/j.econmod.2011.04.005 · Cited by 72
Metadata
- Authors
- Iacoviello, M., & Neri, S.
- Venue
- American Economic Journal: Macroeconomics
- Publisher
- American Economic Association
- Published
- 2010-04-01
- Volume
- 2
- Issue
- 2
- Pages
- 125-164
- ISSN
- 1945-7707 (ISSN-L)
- 1945-7715
- OpenAlex
- W3122247972
- Cited by
- 1,483
- References
- 2
- FWCI
- 396.00
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.