Matias Damian Cattaneo

Research activity per year

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1 Similar Profiles

2 Active
5 Finished

Collaborative Research: Flexible Regression Methods for Climate Economics
Cattaneo, M. D. (PI)
NSF - National Science Foundation
7/1/24 → 6/30/27
Princeton University
Project: Research
Partitioning-Based Learning Methods for Treatment Effect Estimation and Inference
Cattaneo, M. D. (PI)
NSF - National Science Foundation
8/1/23 → 7/31/26
Princeton University
Project: Research
Conference: Statistical Foundations of Data Science and their Applications
Cattaneo, M. D. (PI)
NSF - National Science Foundation
2/1/23 → 1/31/24
Princeton University
Project: Research
Estimation and Inference with Network Data
Cattaneo, M. D. (PI)
NSF - National Science Foundation
8/15/22 → 7/31/25
Princeton University
Project: Research
New Developments in Methodology for Program Evaluation
Cattaneo, M. D. (PI)
NSF - National Science Foundation
8/1/20 → 7/31/23
Princeton University
Project: Research

56 Article
3 Review article
2 Chapter
2 Comment/debate
More
- 2 Editorial
- 1 Conference article

Binscatter regressions
Cattaneo, M. D., Crump, R. K., Farrell, M. H. & Feng, Y., Mar 2025, In: Stata Journal. 25, 1, p. 3-50 48 p.
Princeton University
Research output: Contribution to journal › Article › peer-review
Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators
Cattaneo, M. D., Farrell, M. H., Jansson, M. & Masini, R. P., Nov 2025, In: Journal of Econometrics. 252, 105855.
Princeton University
Research output: Contribution to journal › Article › peer-review
On Rosenbaum’s rank-based matching estimator
Cattaneo, M. D., Han, F. & Lin, Z., 2025, In: Biometrika. 112, 1, asae062.
Princeton University
Research output: Contribution to journal › Article › peer-review

Open Access
scpi: Uncertainty Quantification for Synthetic Control Methods
Cattaneo, M. D., Palomba, F., Feng, Y. & Titiunik, R., 2025, In: Journal of Statistical Software. 113, 1, p. 1-38 38 p.
Princeton University
Research output: Contribution to journal › Article › peer-review

Open Access
STRONG APPROXIMATIONS FOR EMPIRICAL PROCESSES INDEXED BY LIPSCHITZ FUNCTIONS
Cattaneo, M. D. & Yu, R. R., Jun 2025, In: Annals of Statistics. 53, 3, p. 1203-1229 27 p.
Princeton University
Research output: Contribution to journal › Article › peer-review

Matias Damian Cattaneo

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Collaborations and top research areas from the last five years

Dive into details

Collaborative Research: Flexible Regression Methods for Climate Economics

Partitioning-Based Learning Methods for Treatment Effect Estimation and Inference

Conference: Statistical Foundations of Data Science and their Applications

Estimation and Inference with Network Data

New Developments in Methodology for Program Evaluation

Binscatter regressions

Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators

On Rosenbaum’s rank-based matching estimator

scpi: Uncertainty Quantification for Synthetic Control Methods

STRONG APPROXIMATIONS FOR EMPIRICAL PROCESSES INDEXED BY LIPSCHITZ FUNCTIONS

Matias Damian Cattaneo

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output