worldbank / covid19-agent-based-model

Related projects ⓘ

Alternatives and complementary repositories for covid19-agent-based-model

• jaehyukpark / global_labor_flow_network
  This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…
  ☆29Updated 5 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆52Updated 3 months ago
• InstituteforDiseaseModeling / synthpops
  Create synthetic populations for COVID-19 epidemic analyses.
  ☆44Updated last week
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆66Updated 7 months ago
• bryangraham / netrics
  A Python 3.7 package for the econometric analysis of networks
  ☆21Updated 3 weeks ago
• esantorella / binscatter
  ☆20Updated last year
• USCOVIDpolicy / COVID-19-US-State-Policy-Database
  ☆72Updated 2 years ago
• pysal / spreg
  Spatial econometric regression in Python
  ☆72Updated this week
• Keystone-Strategy / covid19-intervention-data
  ☆27Updated 4 years ago
• cid-harvard / py-ecomplexity
  Python package to compute economic complexity and associated variables
  ☆67Updated 2 months ago
• worldbank / Python-for-Data-Science
  ☆49Updated 2 years ago
• lukaslehner / covid19policytrackers
  This is a collection of COVID-19 policy trackers and data. It covers cross-country research in the areas of non-pharmaceutical interventi…
  ☆40Updated 4 years ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆39Updated 2 weeks ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆65Updated 9 years ago
• tomcaputo / mixtape_learnr
  ☆81Updated 3 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆78Updated 7 months ago
• OpportunityInsights / Surrogates-Replication-Code
  Code to replicate GAIN application in Athey, Chetty, Imbens and Kang (2019) using simulated employment data
  ☆31Updated 2 years ago
• hmelberg / causal
  notebooks on methods for causal inference
  ☆31Updated 3 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆128Updated this week
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆76Updated 4 months ago
• ljwolf / bayespatial
  spatial statistical/econometric modeling in pymc3 & stan
  ☆25Updated 3 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆38Updated 3 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• jonclindaniel / LargeScaleComputing_S20
  This is the course repository for the Spring 2020 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the Universi…
  ☆20Updated 4 years ago
• jofmi / agentpy_workshop
  Interactive notebooks with tutorials for the agentpy package.
  ☆13Updated 2 years ago
• OpenSourceEconomics / soepy
  Python package for the simulation and estimation of dynamic models of human capital accumulation tailored to the German Socio-Economic Pa…
  ☆12Updated last year
• cicdw / un_comtrader
  For automating requests to the UN comtrade trade database.
  ☆9Updated 7 years ago
• cid-harvard / ecomplexity
  ☆24Updated 4 years ago
• michaelpollmann / spatialTreat-example
  a simple example for estimating the causal effects of spatial treatments, following Pollmann (2021)
  ☆24Updated last year