dadasmash

arph-did-example

https://github.com/hollina/arph-did-example

Aspect_Based_Sentiment_Analysis_COVID19

Code and Data for the paper "On the Use of Aspect-Based Sentiment Analysis of Twitter Data to Explore the Experiences of African Americans During COVID-19"

bert

TensorFlow code and pre-trained models for BERT

Brahmin_Replication

This is the replication package for our I4R Discussion Paper "Replication Report: A Comment on Gethin, Martínez- Toledano & Piketty (2022)"

China_COVID_Risk_Level_Dataset

China COVID Risk Level Dataset

COVID-19-US-State-Policy-Database

https://github.com/USCOVIDpolicy/COVID-19-US-State-Policy-Database

dagong.github.io

Da Gong's Website. Da Gong is a Ph.D. Candidate in Economics at UC Riverside. Email: dgong005@ucr.edu. The source code is adopted from Github Pages template for academic personal websites (academicpages.github.io), forked from mmistakes/minimal-mistakes

GradQuant

This is the code and slides for my presentations at Graduate Quantitative Methods Center workshops (GradQuant) at UC Riverside.

lost-stats.github.io

Source code for the Library of Statistical Techniques. Including stagger DID approach: https://lost-stats.github.io/Model_Estimation/Research_Design/event_study.html

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

dadasmash/China_COVID_Risk_Level_Dataset

China COVID Risk Level Dataset

dadasmash/dagong.github.io

Da Gong's Website. Da Gong is a Ph.D. Candidate in Economics at UC Riverside. Email: dgong005@ucr.edu. The source code is adopted from Github Pages template for academic personal websites (academicpages.github.io), forked from mmistakes/minimal-mistakes

dadasmash/arph-did-example

https://github.com/hollina/arph-did-example

dadasmash/Aspect_Based_Sentiment_Analysis_COVID19

Code and Data for the paper "On the Use of Aspect-Based Sentiment Analysis of Twitter Data to Explore the Experiences of African Americans During COVID-19"

dadasmash/bert

TensorFlow code and pre-trained models for BERT

dadasmash/Brahmin_Replication

This is the replication package for our I4R Discussion Paper "Replication Report: A Comment on Gethin, Martínez- Toledano & Piketty (2022)"

dadasmash/COVID-19-US-State-Policy-Database

https://github.com/USCOVIDpolicy/COVID-19-US-State-Policy-Database

dadasmash/GradQuant

This is the code and slides for my presentations at Graduate Quantitative Methods Center workshops (GradQuant) at UC Riverside.

dadasmash/Lijiaqi

dadasmash/lost-stats.github.io

Source code for the Library of Statistical Techniques. Including stagger DID approach: https://lost-stats.github.io/Model_Estimation/Research_Design/event_study.html

dadasmash/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

dadasmash/covid-19-tweets

Covid-19 tweets

dadasmash/covid-twitter-bert

Pretrained BERT model for analysing COVID-19 Twitter data

dadasmash/crowdbreaks-paper

Material related to paper "Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing"

dadasmash/data-analysis

Data Analysis for Economics

dadasmash/delphi-epidata

This website contain codbook of the CMU CMU_COVID-19 Trends and Impact Surveys

dadasmash/ECON-490-Fall-2020---ML-in-Econ-R

dadasmash/gov2002-book

Course notes for part of Gov 2002 at Harvard

dadasmash/Machine-Learning-in-Economics

An introductory course on machine learning in economics

dadasmash/models

Models and examples built with TensorFlow

dadasmash/pandemic_nlp

This repo contains code for a Natural Language Processing project to explore and understand differences in official communications between Governor Cuomo and Mayor de Blasio during the Covid-19 pandemic. Methods include web scraping, parts of speech analysis, topic modeling, and sentiment analysis.

dadasmash/plsc-40601-CI-ML

Advanced Topics in Causal Inference PLSC 40601

dadasmash/REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

dadasmash/telling_stories

Telling Stories with Data

dadasmash/test

dadasmash/vaccine-sentiment

The code that accompanies the paper: Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control