Bayesian Statistics-Econometrics

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

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Replication code continuing updates to Michler, J.D., Josephson, A., Kilic, T., and Murray, S. (2021). "Estimating the Impact of Weather on Agriculture." World Bank Policy Research Working Paper, No. 9867.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Economics & Econometrics resources

DoubleML - Double Machine Learning in Python

Econometrics lecture notes with examples using the Julia language

Übungen und Hausaufgaben aus dem Kurs Einführung in Python für Data Analytics im Sommersemester 2024 an der HWR Berlin

Simple R package for costs and calculations of youth offending in Queensland, Australia

Advanced and Fast Data Transformation in R

Fast estimation of generalized linear models with high dimensional categorical variables in Julia

Statsmodels: statistical modeling and econometrics in Python

MarSwitching.jl: Julia package for Markov switching dynamic models

Replication Code for Michler, J.D., Josephson, A., Kilic, T., and Murray, S. Forthcoming. “Privacy Protection, Measurement Error, and the Integration of Remote Sensing and Socioeconomic Survey Data.” Journal of Development Economics.

DoubleML - Double Machine Learning in R

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Official mirror of the actively maintained repo on sourceforge

CRAN Task View: Econometrics

Machine Learning My Way (MLMW): a self-study guide for probability, statistics, econometrics and machine learning.