Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

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 ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias. byTech Media Bias [Research Publication]@mediabias byTech Media Bias [Research ...

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.

Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various ...

ABSTRACT: This study assesses the effects of migrant remittances on inclusive growth in Africa. We applied the ordinary least squares method on a sample of 48 countries in Africa with daily data from ...