This course will give students an introduction to fundamental quantitative methods commonly used in economic research, with an emphasis on real-life research applications related to the course theme of race and gender-based disparities. Students will have the opportunity to learn computer programming skills and gain competency in statistical software through hands-on practical exercises using real datasets from published economic research to investigate race and gender-based oppression. We will also study examples of applied econometric research to see how quantitative methods can both illuminate and obscure the realities of identity-based oppression in capitalist society. By the end of the semester, students should be able to: explain how econometrics is used to make arguments and test hypotheses using statistical inference, explain and interpret the results of several linear regression functional forms, identify the assumptions of the classical linear regression model, identify and mitigate common econometric logic and data issues that happen when assumptions are violated, manipulate data and conduct their own research using statistical software, and explain the importance of reproducibility and creating work products that facilitate reproduction by one’s self and others. Prerequisite: LMTH 2025 Statistics for Social Sciences or LMTH 2030 Statistics with SPSS, or instructor’s permission. Instructor’s permission is required to join this course after the first week of classes