Digging through the data to find chart success.
Abstract: Treatment effect estimation from observational data is a fundamental problem in causal inference, and its critical challenge is to address the confounding bias arising from the confounders.
Full Python implementation of Aymeric et al.'s (2025) methodology for investigating the causal impact of parental environment on student achievement. Implements OLS regression and IV-2SLS instrumental ...
They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...
Visit Stata Example File and Python Example File. There is a step-by-step example. This project is licensed under the GNU Affero General Public License v3.0. See LICENSE for details. Note: Commercial ...
ABSTRACT: The objective of this study is to examine the effect of shadow economy on financial inclusion. We identify the robust effects and channels through which the shadow economy affects financial ...
ABSTRACT: The promotion of sustainable agricultural practices is crucial for achieving environmental sustainability. Moreover, there is limited documentation on how green agriculture moderates the ...
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