mathematics

Matias D. Cattaneo

Matias D. Cattaneo is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Matias D. Cattaneo rather than just read about it. In short: Matias Damian Cattaneo (born May 16, 1978) is an Argentine scientist, Professor of Economics at Princeton University. His research focuses on econometrics, statistics, data science and decision science, with applications to program evaluation and causal inference.

Key takeaways

Matias D. Cattaneo belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Matias D. Cattaneo to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Matias D. Cattaneo from memory before moving on to harder problems.

Reference excerpt

Matias Damian Cattaneo (born May 16, 1978) is an Argentine scientist, Professor of Economics at Princeton University. His research focuses on econometrics, statistics, data science and decision science, with applications to program evaluation and causal inference. He is known for his work on Regression discontinuity designs and Nonparametric statistics. Cattaneo is a co-editor of Econometric Theory, and has served in editorial boards of leading academic journals across various disciplines, including the Journal of the American Statistical Association, Econometrica, and Operations Research.

Education and academic career Cattaneo received his Licentiate from UBA in 2000, and his Ph.D. from the University of California, Berkeley in 2008, under supervision of James L. Powell. From 2008 to 2019, Cattaneo taught at the University of Michigan. He joined Princeton University as a Professor in the Department of Operations Research and Financial Engineering in 2019. He later moved to the Department of Economics in 2026.

Honors and awards John Simon Guggenheim Memorial Foundation Fellowship, 2026. Elected Member, International Statistical Institute, 2025. Fellow, American Statistical Association, 2023. Fellow, Institute of Mathematical Statistics, 2022. Fellow, International Association for Applied Econometrics, 2022. Stata Journal Editors’ Prize, 2019.

Publications Abadie, Alberto; Cattaneo, Matias D. (2018). "Econometric Methods for Program Evaluation". Annual Review of Economics. 10: 465–503. doi:10.1146/annurev-economics-080217-053402. hdl:1721.1/129481. S2CID 13815235. Calonico, Sebastian; Cattaneo, Matias D.; Titiunik, Rocio (2014). "Robust nonparametric confidence intervals for regression-discontinuity designs". Econometrica. 82 (6): 2295–2326. doi:10.3982/ECTA11757. hdl:2027.42/109857. Calonico, Sebastian; Cattaneo, Matias D.; Titiunik, Rocio (2015). "Optimal Data-Driven Regression Discontinuity Plots". Journal of the American Statistical Association. 110 (512): 1753–1769. doi:10.1080/01621459.2015.1017578. S2CID 13813472. Calonico, Sebastian; Cattaneo, Matias D.; Farrell, Max H. (2018). "On the effect of bias estimation on coverage accuracy in nonparametric inference". Journal of the American Statistical Association. 113 (522): 767–779. arXiv:1508.02973. doi:10.1080/01621459.2017.1285776. S2CID 13887146. Calonico, Sebastian; Cattaneo, Matias D.; Farrell, Max H.; Titiunik, Rocio (2019). "Regression discontinuity designs using covariates". Review of Economics and Statistics. 101 (3): 442–451. arXiv:1809.03904. doi:10.1162/rest_a_00760. S2CID 30717555. Cattaneo, Matias D. (2010). "Efficient semiparametric estimation of multi-valued treatment effects under ignorability". Journal of Econometrics. 155 (2): 138–154. doi:10.1016/j.jeconom.2009.09.023. Cattaneo, Matias D.; Jansson, Michael; Ma, Xinwei (2020). "Simple Local Polynomial Density Estimators". Journal of the American Statistical Association. 115 (531): 1449–1455. arXiv:1811.11512. doi:10.1080/01621459.2019.1635480. S2CID 85528533. Cattaneo, Matias D.; Idrobo, Nicolas; Titiunik, Rocio (2020). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press. arXiv:1911.09511. doi:10.1017/9781108684606. ISBN 9781108684606. S2CID 208201961. Cattaneo, Matias D.; Idrobo, Nicolas; Titiunik, Rocio (2020). A Practical Introduction to Regression Discontinuity Designs: Extensions. Cambridge University Press. arXiv:2301.08958. doi:10.1017/9781009441896. ISBN 9781009441896. S2CID 256105360. Cattaneo, Matias D.; Titiunik, Rocio (2022). "Regression Discontinuity Designs". Annual Review of Economics. 14: 821–851. arXiv:2108.09400. doi:10.1146/annurev-economics-051520-021409. S2CID 125763727.

References

External links Cattaneo's faculty page at Princeton University Cattaneo's Google Scholar profile

Worked examples

Example 1 — a first encounter with Matias D. Cattaneo

Start with the simplest possible case. Write down what Matias D. Cattaneo claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Matias D. Cattaneo before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Matias D. Cattaneo ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Matias D. Cattaneo

In research: Matias D. Cattaneo appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Matias D. Cattaneo in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Matias D. Cattaneo is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1978 births, 21st-century statisticians, Econometricians, so understanding it makes those chapters shorter.
In everyday life: Look for Matias D. Cattaneo outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Matias D. Cattaneo in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Matias D. Cattaneo means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Matias D. Cattaneo out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Matias D. Cattaneo in simple terms?

Why does Matias D. Cattaneo matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Matias D. Cattaneo?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Matias D. Cattaneo.