StatsmodelsStatsmodels: statistical modeling and econometrics in Python
NNSNonlinear Nonparametric Statistics
Probability TheoryA quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
RobynRobyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…
hdfeNo description or website provided.
SMC.jlSequential Monte Carlo algorithm for approximation of posterior distributions.
econ5170Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
Econ-Data-ScienceArticles/ Journals and Videos related to Economics📈 and Data Science 📊
Econ5121AEcon5121A@CUHK. This is an open-source writing project.
econowcastExperimental tools (R) for Big Data econometrics nowcasting and early estimates
gravityR package that provides estimation methods for Gravity Models
bacondecompBacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
grmpyPython package for the simulation and estimation of generalized Roy model
priceREconomics and Pricing in R
Diebold-Mariano-TestThis Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
causeinferMachine learning based causal inference/uplift in Python
CausalInferenceIntroCausal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
econtoolsEconometrics and data manipulation functions.
BeaData.jlA Julia interface for retrieving data from the Bureau of Economic Analysis (BEA).
hayashirR Companion to the textbook "Econometrics" by Fumio Hayashi