The DOI matches its Crossref record.
Causality in Macroeconomics
Abstract
In Pissarides's model – in either its theoretical or empirical versions – there are a number of variables, all related to each other through mathematical functions. A natural question is, which of these variables are the causes and which are the effects? (This is not restricted to particular models; the question can also be asked about the economy itself, independently of particular representations of it.) Now, what kind of question is that? To the man in the street – although he may never have thought about economics at all beyond wondering where his paycheck was coming from, how much the government was going to take from it, and how he might spend it – this seems a perfectly straightforward question. The commonsense notion of causation has to do with control or some variant of it: making things happen, recipes, and so forth. That my flipping the switch causes the light to come on means that I can use the switch as an instrument to control the light. My placing baking powder into a cake batter causes the cake to rise because baking powder is an instrument for leavening; which is to say that, were I to omit the baking powder, the cake would not rise. We learn causal relationships from babyhood, and they are essential to our making our way in the world. Nothing could be simpler or more straightforward. But not to economists. Economists long ago ceased to regard the question “does A cause B ?” as straightforward.
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
Cited by
Making Things Happen: A Theory of Causal Explanation
Woodward, J. (2004) · doi:10.1093/0195155270.001.0001 · Cited by 1,302
Healthy, wealthy, and wise? Tests for direct causal paths between health and socioeconomic status
Adams, P., Hurd, M. D., McFadden, D., Merrill, A., & Ribeiro, T. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(02)00145-8 · Cited by 709
Independence, Invariance and the Causal Markov Condition
Hausman, D. M., & Woodward, J. (1999) · The British Journal for the Philosophy of Science · doi:10.1093/bjps/50.4.521 · Cited by 375
Zhang, J. (2008) · Artificial Intelligence · doi:10.1016/j.artint.2008.08.001 · Cited by 355
Agriculture, climate change and sustainability: The case of EU-28
Agovino, M., Casaccia, M., Ciommi, M., Ferrara, M., & Marchesano, K. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2018.04.064 · Cited by 305
Metadata
- Venue
- The Methodology of Empirical Macroeconomics
- Publisher
- Cambridge University Press
- Published
- 2001-10-11
- Pages
- 89-134
- OpenAlex
- W1889982944
- Cited by
- 493
- References
- 0
- FWCI
- 226.29
- Type
- book chapter
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Causality in Macroeconomics. https://app.cochat.ai/papers/10.1017/cbo9780511613050.005
- The paper
- Causality in Macroeconomics. (2001). The Methodology of Empirical Macroeconomics. https://doi.org/10.1017/cbo9780511613050.005
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.