Introduction to Data Analysis and Econometrics Using Stata
Course Overview
The Introduction to Data Analysis and Econometrics Using Stata course is designed to provide participants with both the theoretical understanding and practical skills necessary for effective data analysis and econometric modeling using Stata software. This hands-on course offers a thorough introduction to Stata, empowering learners to manage data, perform statistical analyses, and interpret econometric results with confidence. Whether you're a student, researcher, or professional, this course equips you to apply statistical and econometric methods to real-world data challenges.
The course blends essential theoretical concepts with practical applications, covering key topics such as data management, descriptive statistics, regression analysis, and advanced econometric modeling. By the end of the course, participants will be proficient in using Stata for data analysis and will be well-prepared to tackle more advanced econometric techniques.
Instructors
I am an Economist, currently working as an Associate Professor at the Department of Innovation in Government & Society, United Arab Emirates University (UAEU). Previously, I worked as an Assistant Professor at the School of Economics, University of Nottingham Malaysia (UNM). My research interests include empirically exploring the relationships that exist at the cross-section of Economics, Politics, and other disciplines. In particular, my research agenda is organized around four major themes: (1) exploring the socio-economic and political determinants of international tourism; (2) investigating the impact of international tourism and tourism development on socio-economic outcomes; (3) examining the linkages between energy policy, energy consumption, economic outcomes, and environmental degradation; and (4) understanding the impact of economic outcomes on institutional development, an... Read More
Course Outcomes
By the end of this course, students, researchers, and professionals will have the skills and confidence to navigate and utilise Stata effectively for data analysis. They will learn how to manage and clean data, perform both descriptive and advanced statistical analyses, and interpret the results to make informed, data-driven decisions. The course covers key techniques such as linear regression, logistic regression, and panel data methods, ensuring that participants can apply these tools to a variety of real-world data challenges.
Additionally, participants will gain hands-on experience in creating reproducible workflows using do-files and scripts, making their analyses more efficient and transparent. Whether you're looking to enhance your academic research, improve your professional data skills, or embark on a career in data analysis, this course provides a strong foundation in using Stata for comprehensive data analysis and econometric modeling.
Additionally, participants will gain hands-on experience in creating reproducible workflows using do-files and scripts, making their analyses more efficient and transparent. Whether you're looking to enhance your academic research, improve your professional data skills, or embark on a career in data analysis, this course provides a strong foundation in using Stata for comprehensive data analysis and econometric modeling.
Course Structure
Day 1
Introduction to Stata
Introduction to Stata
Overview of Stata's interface and commands
Understanding file types (.dta, .do, .log)
Navigating Stata help files and documentation
Data Import and Export
Data Import and Export
Importing data (Excel, CSV, text files)
Saving data and exporting results
Dealing with large datasets
Data Cleaning and Preparation
Handling missing data
Creating, modifying, and dropping variables
Renaming and labeling variables
Generating summary statistics
Descriptive Statistics
Summary statistics (mean, median, percentiles, etc.)
Descriptive Statistics
Summary statistics (mean, median, percentiles, etc.)
Cross-tabulations
Generating frequency tables
Day 2
Introduction to Data Visualization
Creating simple graphs (histograms, scatter plots, bar graphs)
Customising graphs (labels, titles, colors)
Exporting graphs for reports
Advanced Graphing Techniques
Time-series plotting
Multiple graph panels and overlays
Plotting regression lines on scatterplots
Day 3
Introduction to Regression Analysis
Day 3
Introduction to Regression Analysis
Simple linear regression
Multivariate regression
nterpreting coefficients, R-squared, p-values
Advanced Regression Techniques
Fixed effects models
Instrumental variables
Logit and probit models
Marginal effects and marginal plots
Day 4
Day 4
Working with Large Datasets and Loops
Efficient coding techniques
Running loops for multiple regressions
Working with panel data
Course Assessment
Target Audience
This course is ideal for:
Students: Those pursuing degrees in economics, finance, business, social sciences, or related fields who want to strengthen their data analysis and econometrics skills using Stata.
Researchers: academics and research professionals looking to apply econometric techniques to their research projects and efficiently manage and analyze data with Stata.
Professionals: Individuals working in industries such as finance, consulting, healthcare, or public policy who need to analyze data, interpret econometric models, and make data-driven decisions.
Data Analysts: professionals seeking to expand their skill set in econometric modeling and gain proficiency in using Stata for more effective data analysis.
This course is designed to cater to anyone interested in learning how to use Stata for data analysis, from beginners to those looking to advance their existing knowledge and skills.
Recommended Resources
- Participants will need access to computers with sufficient processing power to run Stata efficiently.
- A licensed version of Stata (preferably Stata/IC or higher) installed on participant devices. A trial license can be obtained by visiting the Stata website.
Weekly, resources are available on the LMS. Please log in to the LMS and view the recommended resources for each week.
Certificates
Upon successful completion of the course requirements, participants will receive a
certificate of completion from ExpertGate.