This course explores contemporary developments in political economy and their impact on the structure and quality of work in the U.S. The first part of the course surveys broad trends in the American economy (i.e. the growth of the service industry and nonstandard work) and popular discourse about labor exploitation and "bad" jobs. The second part of the course traces how we arrived at this point in history by examining four key processes - globalization, deregulation, financialization, and new technologies in the workplace, such as AI and algorithmic management.

Not available at this time

This course introduces concepts, practices, and tools for conducting effective research. You will learn how to read technical papers, interpret published research, assess the research frontier, select research topics, devise research questions and hypotheses, propose and plan research activities, analyze experimental results, and report those results.

This course aims to provide an overview of the methodological toolkit available to empirical researchers who are interested in making causal inference using quasi-experimental data. In marketing, randomized experimentation represents the gold standard for making causal inference using empirical data. In an ideal setting, we would randomly assign participants to different groups to receive varying types or levels of treatment.

Introduction to ordinary differential equations. First and second order linear differential equations, systems of linear differential equations, Laplace transform, numerical methods, applications.