worldbank / covid19-agent-based-model

Related projects ⓘ

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

• USCOVIDpolicy / COVID-19-US-State-Policy-Database
  ☆72Updated 2 years ago
• Keystone-Strategy / covid19-intervention-data
  ☆27Updated 4 years ago
• InstituteforDiseaseModeling / synthpops
  Create synthetic populations for COVID-19 epidemic analyses.
  ☆44Updated 2 weeks ago
• bryangraham / netrics
  A Python 3.7 package for the econometric analysis of networks
  ☆21Updated last month
• mwaugh0328 / covid-19-map
  US county level interactive map of Covid-19 cases
  ☆19Updated 4 years ago
• cid-harvard / py-ecomplexity
  Python package to compute economic complexity and associated variables
  ☆68Updated 3 months ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆66Updated 7 months ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆54Updated 3 months ago
• korenmiklos / coding-for-economists
  ☆12Updated 2 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
• 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
• pysal / spreg
  Spatial econometric regression in Python
  ☆73Updated this week
• worldbank / Python-for-Data-Science
  ☆49Updated 2 years ago
• michaelpollmann / spatialTreat-example
  a simple example for estimating the causal effects of spatial treatments, following Pollmann (2021)
  ☆24Updated last year
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆39Updated 3 weeks ago
• esantorella / binscatter
  ☆20Updated last year
• bastianherre / global-leader-ideologies
  ☆21Updated last year
• cid-harvard / ecomplexity
  ☆25Updated 4 years ago
• hmelberg / causal
  notebooks on methods for causal inference
  ☆31Updated 3 months ago
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆60Updated last year
• gzervas / torchblp
  pytorch implementation of BLP'95
  ☆26Updated 4 years ago
• gzervas / torchfe
  High-dimensional fixed effect estimation with pytorch
  ☆18Updated 3 years ago
• worldbank / econometrics-sandbox
  This repository contains the code that creates the dashboards references in the “Econometrics Sandbox” blogpost series publish in the Dev…
  ☆28Updated 2 years 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
• cicdw / un_comtrader
  For automating requests to the UN comtrade trade database.
  ☆9Updated 7 years ago
• NickCH-K / introcausality
  Class materials for "Economics, Causality, and Analytics"
  ☆120Updated 4 years ago
• NickCH-K / TheEffectAssignments
  Homework assignments to go along with The Effect
  ☆58Updated 2 years ago
• pp4rs / 2020-uzh-course-material
  Course material for the Winter 2020 Edition of PP4RS at Uni Zurich
  ☆19Updated 4 years ago
• CoronaNetDataScience / corona_tscs
  This is the raw data repository (policy record format) of the CoronaNet project on government responses to the COVID-19 pandemic.
  ☆98Updated 11 months ago
• jdingel / lights_to_cities
  R code implementing the Dingel-Miscio-Davis algorithm to construct metropolitan areas by aggregating finer geographic units on the basis …
  ☆19Updated 3 years ago