Pinned Repositories
2008_ESA_nutrition
Code for "The Role of Liquidity in Food Choice: Evidence from the Economic Stimulus Act of 2008" by Z. Goodman
applied_metrics
A PhD course in Applied Econometrics and Panel Data
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
ironman
Analysis of Ironman triathlon finisher data
mediumish-theme-jekyll
Jekyll Template - Mediumish
micro-metrics
This is a 2nd Year PhD Course In Micro-econometrics
microeconomics_videos
Analysis of the Microeconomics Video Handbook experiment by Famulari and Goodman
predictit
SMS notifications for new PredictIt markets
real_travel_cost
The notebook in this repo examines the *real* cost of travel after adjusting for exchange rates and PPP. Use to find high value places to travel depending on your home currency!
required_homework
Analysis of the Required Homework experiment by Antonovics, Famulari, and Goodman
zagoodman's Repositories
zagoodman/ironman
Analysis of Ironman triathlon finisher data
zagoodman/2008_ESA_nutrition
Code for "The Role of Liquidity in Food Choice: Evidence from the Economic Stimulus Act of 2008" by Z. Goodman
zagoodman/applied_metrics
A PhD course in Applied Econometrics and Panel Data
zagoodman/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
zagoodman/mediumish-theme-jekyll
Jekyll Template - Mediumish
zagoodman/micro-metrics
This is a 2nd Year PhD Course In Micro-econometrics
zagoodman/microeconomics_videos
Analysis of the Microeconomics Video Handbook experiment by Famulari and Goodman
zagoodman/predictit
SMS notifications for new PredictIt markets
zagoodman/real_travel_cost
The notebook in this repo examines the *real* cost of travel after adjusting for exchange rates and PPP. Use to find high value places to travel depending on your home currency!
zagoodman/required_homework
Analysis of the Required Homework experiment by Antonovics, Famulari, and Goodman
zagoodman/ssb_taxes
Code for "The Effect of Sugar-Sweetened Beverage Taxes in the United States: Evidence from Scanner Data" by J. Orchard and Z. Goodman
zagoodman/swallow
Predict swallow volume using wearable sensor data
zagoodman/zagoodman.github.io
Personal website for Zack A. Goodman