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Complexity and approximation results for the balance optimization subset selection model for causal inference in observational studies

Sauppe, Jason J.; Jacobson, Sheldon H.; Sewell, Edward C. - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 547-566

Persistent link: https://www.econbiz.de/10010399743

A computational framework for solving nonlinear binary optimization problems in robust causal inference

Islam, Md Saiful; Morshed, Md Sarowar; Noor-E-Alam, Md - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 6, pp. 3023-3041

Persistent link: https://www.econbiz.de/10014326334

Beyond p-value-obsession : when are statistical hypothesis tests required and appropriate?

Margarian, Anne - In: German journal of agricultural economics : GJAE 71 (2022) 4, pp. 213-226

Persistent link: https://www.econbiz.de/10014420460

Estimating the causal impact of an intervention on efficiency in a dynamic setting

Mergoni, Anna; De Witte, Kristof - In: Journal of the Operational Research Society 73 (2022) 10, pp. 2275-2293

Persistent link: https://www.econbiz.de/10013532445

Estimating causal effects with optimization-based methods : a review and empirical comparison

Cousineau, Martin; Verter, Vedat; Murphy, Susan A.; … - In: European journal of operational research : EJOR 304 (2023) 2, pp. 367-380

Persistent link: https://www.econbiz.de/10013534525

Semiparametric single-index estimation for average treatment effects

Huang, Difang; Gao, Jiti; Oka, Tatsushi - 2022

Persistent link: https://www.econbiz.de/10013494395

Geographic difference-in-discontinuities

Butts, Kyle - In: Applied economics letters 30 (2023) 5, pp. 615-619

Persistent link: https://www.econbiz.de/10013553740

A unified framework for dynamic treatment effect estimation in interactive fixed effect models

Brown, Nicholas; Butts, Kyle - 2022

We present a unifying identification strategy of dynamic average treatment effect parameters for staggered interventions when parallel trends are valid only after controlling for interactive fixed effects. This setting nests the usual parallel trends assumption, but allows treated units to have...

Persistent link: https://www.econbiz.de/10013556783

Algorithm is experiment : machine learning, market design, and policy eligibility rules

Narita, Yusuke; Yata, Kohei - 2021

Persistent link: https://www.econbiz.de/10014394217

Regression discontinuity designs

Cattaneo, Matias D.; Titiunik, Rocío - In: Annual review of economics 14 (2022), pp. 821-851

Persistent link: https://www.econbiz.de/10014428457