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This course will cover the following topics: I Introduction to Stata (4) • Getting started with the Stata environment • Do files and log files • Data entry/loading • Important functions and operators II Data management (4) • Cleaning data • Missing values • Combining datasets • Data manipulation III Descriptive statistics and data visualisation in Stata (4) • Stata customizable tables • Building graphs • Graph style • Maps IV Simple regression analysis (4) • Ordinary least squares • Weighted least squares • Testing for heteroscedasticity and omitted variable bias • Interacting variables V Panel Data Analysis (4) • Pooled OLS • Fixed effects, First difference • Random effects models • Instrumental variable VI Wrap-up (4)

Students are expected to have a basic knowledge of statistics and econometrics for the classes.

Suggested Reading List Acock, A. C. (2018). A Gentle Introduction to Stata. Sixth Edition. College Station, TX: Stata Press. Cameron and Trivedi. (2009). Microeconometrics with Stata. Stata - Press. Baum, C. (2006). An Introduction to Modern Econometrics Using Stata. College Station TX: Stata Press Mitchell, Michael N. 2022. A Visual Guide to Stata Graphics, 4th Edition

Stata classes will be held in the Laboratory on the 6th floor.

Students can pass the Stata examination by actively participating in class and successfully completing the group assignments. If these requirements are not met, students will still have the opportunity to pass the exam during the designated exam periods. The exam will consist of data analysis exercises in Stata. There is no numerical grading in the Stata course; students will receive either a “Pass” (satisfactory) or a “Fail” (not satisfactory).

Stata classes are held in person

This course will cover the following topics: I Introduction to Stata (4) • Getting started with the Stata environment • Do files and log files • Data entry/loading • Important functions and operators II Data management (4) • Cleaning data • Missing values • Combining datasets • Data manipulation III Descriptive statistics and data visualisation in Stata (4) • Stata customizable tables • Building graphs • Graph style • Maps IV Simple regression analysis (4) • Ordinary least squares • Weighted least squares • Testing for heteroscedasticity and omitted variable bias • Interacting variables V Panel Data Analysis (4) • Pooled OLS • Fixed effects, First difference • Random effects models • Instrumental variable VI Wrap-up (4)

Students are expected to have a basic knowledge of statistics and econometrics for the classes.

Suggested Reading List Acock, A. C. (2018). A Gentle Introduction to Stata. Sixth Edition. College Station, TX: Stata Press. Cameron and Trivedi. (2009). Microeconometrics with Stata. Stata - Press. Baum, C. (2006). An Introduction to Modern Econometrics Using Stata. College Station TX: Stata Press Mitchell, Michael N. 2022. A Visual Guide to Stata Graphics, 4th Edition

Stata classes will be held in the Laboratory on the 6th floor.

Students can pass the Stata examination by actively participating in class and successfully completing the group assignments. If these requirements are not met, students will still have the opportunity to pass the exam during the designated exam periods. The exam will consist of data analysis exercises in Stata. There is no numerical grading in the Stata course; students will receive either a “Pass” (satisfactory) or a “Fail” (not satisfactory).

Stata classes are held in person