About this Event
Computer Lab RN 12
Free Event
Free Event
Summary:
Knowing how to analyze data is increasingly important for success in a wide variety of fields of work and is crucial for doing well in courses on Statistics and Econometrics. It is also at the heart of the work on a majority of senior theses in Economics and related fields. This day-long training session will introduce you to one of the main computer languages that is used for these purposes, Stata. It will be useful for newcomers as well as those who could use a review. An emphasis will be placed on the practical steps of using the language. Within one day we will be able to cover all of the main material that you would need for your Statistics and Econometrics classes as well as tacit knowledge and programming tricks that these classes don’t often cover. We will further discuss more advanced techniques that are not needed for these classes but that are often very useful in writing a senior thesis and working after graduation. The tutorial will be useful for getting a head start on your Statistics or Econometrics classes, increasing your utility in working as a research assistant for a professor, making it more likely that a professor might hire you as a research assistant, as a brush up on what you learned in prior courses, or preparing to write your senior thesis. Jobs such as those for recent college graduates at the Federal Reserve, World Bank, International Monetary Fund, and Washington D.C. think tanks highly value these skills.
The speaker, Professor William Lincoln, teaches Econometrics and the Seminar in Research Methods (Economics 180) for senior thesis writers at CMC. He has long experience in teaching Stata in these classes as well as working with it for his own published research. He worked at the Federal Reserve Bank of Chicago right out of college doing exactly this type of work.
Agenda: Lectures on Stata and work on Stata exercises 9am-12:30pm and 1:30-5pm. Topics to be covered include
The Stata console
Logging results
Importing and merging data
Cleaning data
Interactive and batch mode programming
Common commands
Common mistakes
Estimating correlations and descriptive statistics
Graphing data
Regression analysis
Panel data methods
Loops
Learning Objectives: Learn how to program in Stata
Prerequisite: Local installation or access to Stata through the Remote Desktop Environment
Participants: Upperclass CMC Students priority
Sponsored by Claremont McKenna College’s Randall Lewis Center for Innovation and Entrepreneurship