course on data science for economists

Streamline a data analysis process

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Spatial Empirical Dynamic Modeling

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

This repository is created to support the paper 'CAMS: An Annotated Corpus for Causal Analysis of Mental health on Social media' which is submitted to Language Resources and Evaluation Conference 2022 we introduce a new dataset for Causal Analysis of Mental health illness in Social media posts (CAMS). We first introduce the annotation schema for…

Análise Causal Heterogênea para Subgrupos de Intervenção em Ansiedade

Full-featured Decision Trees and Random Forests learner.

CausalVerse: An R toolkit expediting causal research & analysis. Streamlines complex methodologies, empowering users to unveil causal relationships with precision. Your go-to for insightful causality exploration.

Friendly introduction to causal inference

Code for investigating the factors affecting GRDP in a provincial level, and the short‑term, long‑term, and overall effects of the affecting variables.

The repository shows an approach to perform casual inference on Breast Cancer Data. Causal inference is carried out to determine the independent, actual effect of breast cancer that is component of a larger system

Business Experimentation: A/B Testing

My journey through data science

Learning Dynamic Treatment Regime (DTR) via meta-learners

I use Microsoft Excel to forecast house prices for Damian Realty, identify factors affecting house prices using causal analysis, and provide inferences for realty stakeholders

Analyzing data from Statens Vegvesen and Nord Pool, this project explores the impact of electricity price fluctuations on private car usage in Norway's major cities, uncovering key insights into transportation trends.

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

Reversed-engineered Transformer models as a benchmark for interpretability methods