STATA

Using Artificial Intelligence to Help Write Code

February 28, 2023
Daniel Tan
by Daniel Tan. ChatGPT is a natural language processing model that has applications in a wide variety of research settings. It is a chatbot-style tool that was created by OpenAI using a deep learning model that allows it to generate human-like responses to a wide variety of questions and prompts spanning a multitude of topics. Because it has been trained on a large body of text, ChatGPT is a particularly useful tool for programming. This post explores ways to use ChatGPT to help write code in Stata, a statistical software package that is widely used in academic and policy research.

Ini Umosen

Consulting Drop-In Hours: Tue 9am-11am

Consulting Areas: R, Stata, LaTeX, Data Manipulation and Cleaning, Data Science, Data Visualization, R Programming, Text Analysis, Web Scraping, Regression Analysis, RStudio, RStudio Cloud, Stata

Quick-tip: the fastest way to speak to a consultant is to first ...

Hikari Murayama

Senior Data Science Fellow, Senior Instructor
Digital Health Social Justice
Energy and Resources Group

Hikari is a graduate student in the Energy and Resource Group. Her research interests involve utilizing remote sensing and geospatial analysis to address pressing problems at the intersection of humans and climate. She recently served as a Data Science for Social Good Fellow at the University of Washington eScience Institute in the summer of 2020. She is experienced and happy to help in the areas of geospatial analysis, remote sensing, and other statistical analyses and methods. Hikari is devoted to helping community members realize their potential to conduct...

Suraj Nair

Data Science Fellow
School of Information

I am a PhD Student at the School of Information. My research interests lie at the intersection of development economics and machine learning, with a focus on the use of large scale digital data and new computational tools to study pressing issues in global development.

Alex Ramiller

Data Science Fellow
City and Regional Planning

I am a PhD Candidate in City and Regional Planning. My research focuses on the use of large administrative datasets to study residential mobility, neighborhood change, and housing access. I received a Master in Geography from the University of Washington and a Bachelor's in Economics and Geography from Macalester College. I have also consulted on analytical projects for several organizations including the San Francisco Federal Reserve Bank, PolicyLink, and the City of Seattle.

Taylor Brown

Consulting Drop-In Hours: By appointment only

Consulting Areas: R, Stata, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Geospatial Data, Maps & Spatial Analysis, Qualitative methods, R Programming, Surveys, Sampling & Interviews, Regression Analysis, Means Tests, ArcGIS Desktop, Online or Pro, Excel, Google Earth Engine, QGIS, Qualtrics, RStudio, SPSS, Stata, Tableau

Quick-tip: the fastest way to speak to a consultant is to first ...

Jose Aveldanes

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R, SQL, Stata, Databases & SQL, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Deep Learning, Machine Learning, Python Programming, R Programming, Causal inference, Hierarchical Models, Nonparametric methods, Regression Analysis, Software Output Interpretation, Survey Sampling, Survival analysis, ATLAS.ti, Dedoose, Git or Github, NVivo, RStudio, RStudio Cloud, Stata

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Jane Angar

Consultant
Political Science

Mango Jane Angar is a Political Science Ph.D. student at the University of California, Berkeley. Her research focuses on Political Violence and Disability Politics. In particular, she examines how state institutions, society, and disabled persons organizations conceptualize and define disability.

Jailynne Estevez

Consultant
Info & Data Science MIDS

Jailynne Estevez is a Data Analyst and a prospective Masters in Information and Data Science candidate at UC Berkeley. With a bachelor's in Public Policy, she brings a diverse skill set to her pursuits, demonstrating aptitude in data analysis and programming.

Ini Umosen

Consultant
Economics

Ini is a PhD candidate in the Department of Economics. She studies topics in labor economics and the economics of education using applied econometrics methods. Current work in progress includes evaluating the impact of school choice systems and investigating gender and racial bias on gig platforms. She is a former Graduate Research Fellow at the California Policy Lab. She has also been a tutor for econometrics, labor economics, and macroeconomics.