ECN 190 Topics

 ECN 190 Topics

Please note: our Economics department and Professors require all prerequisites to be completed before enrollment in any ECN 190 topic course. If you do not meet the prerequisites, you will be emailed during Pass 2 and asked to drop the course, or you will be dropped by the 12th day of instruction. 

  • FALL 2022


    Specialization Track: International Macro-Finance (Advanced)

    Prerequisites: ECN 100A

    This is an advanced course in international finance.  The goal is to understand how investors from different countries interact in global financial markets.  The course studies the decision-making processes of large firms (both financial and non-financial), institutional investors, and sovereign governments.  It further examines the role of governments and international institutions as intermediaries and regulators of global markets.  The course combines solving rigorous theoretical models, analyzing financial data, and presenting solutions to real-life case studies.  Instructional material includes a required textbook and case study materials, and evaluation is based on online quizzes, a country study, individual and group assignments, and a short case-study group presentation.

    Instructor: Professor Ina Simonovska

    Professor Simonovska specializes in international trade, international finance and macroeconomics.  She received her PhD in Economics at the University of Minnesota as well as her Master's in Economics. Their research interests focus on understanding the sources of welfare gains from international integration.


    Specialization Track: Data Analytics and Economic Analysis (Advanced)

    Prerequisites: ECN 100A, STA 13, and ECN 102 with a B grade or higher

    This course introduces state-of-the-art econometric methods to analyze economic and business data. Topics of this course include key concepts and tools which are essential for data analyses in economic and business environments. This course is designed as a stepping stone for graduate study. The students are required to implement the programming language R.

    Instructor: Professor Takuya Ura

    Takuya Ura is an assistant professor of economics at UC Davis. His research interest is econometrics, with emphases on microeconometrics and causal inference.


    Specialization Track: Policy (Advanced)

    Prerequisites: ECN 100A and ECN 102; ECN 140 recommended (previous or concurrent)

    This course will provide an introduction to the economics of crime and punishment. We will apply economic thinking to gain insight into the behavior of the key actors (potential offenders, potential victims, and criminal justice agents), and key public policies that determine crime and justice outcomes. We will examine economic models of decision-making under uncertainty, the use of benefit-cost analysis to estimate the cost of crime and assess different crime reduction strategies, and econometric techniques for analyzing the causes of crime and the effects of crime-control measures. The course will consider contemporary issues in criminal justice policy including incarceration, policing, racial bias, drug policy, and gun regulations.

    Instructor: Professor Hannah Laqueur

    Hannah Laqueur is an assistant professor of emergency medicine at UC Davis. She earned her PhD from UC Berkeley Law's Jurisprudence and Social Policy program, an interdisciplinary social science program, where she specialized in Law and Economics. She also completed a Masters in Biostatistics at Berkeley, focusing on machine learning methods for causal inference and prediction.

    ECN 190
  • WINTER 2023


    Specialization Track: Data Analytics and Economic Analysis (Advanced)

    Prerequisites: You should drop this course if you are not willing to engage in hard work each week or if you are allergic to mathematics. You should also drop this course if you don’t satisfy the prerequisites in mathematics: 16A, 16B or 21A, 21B with a grade of a C- or better in each course.

    Students will become comfortable with the most important and foundational methods applied in mathematical economics: set theory, linear algebra, differential and integral calculus, unconstrained and constrained optimization, methods of comparative statics, and basic applications of mathematics to financial economics, consumer behavior, the behavior of firms, and market exchange.

    Instructor: Professor Carvajal Escobar

    Andrés Carvajal Escobar is a Professor at UC Davis. He is an economic theorist with an emphasis in microeconomics and mathematic economics. He is the Editor-in-Chief of the Journal of Mathematical Economics and served as a co-chair of the 2018 North America Summer Meeting of the Econometric Society.

  • SPRING 2023


    Specialization Track: Behavior and Strategy (Advanced)

    Prerequisites: A grade of C or better in the courses: ECN 100A and ECN 100B. We would use calculus in this course.

    ECN 190 with Anujit Chakraborty

    If you are like most people, you think that the table on the left is longer and narrower than the one on the right. But if you used a ruler to measure each table (developed by cognitive scientist Roger Shepard), you would find that they have identical dimensions! Not only do a lot of people get this wrong, but they all also get it wrong the same way, which means there is something systematic in the errors. Just like our optical system, our decision-making system can make systematic errors too, and these are called behavioral biases. In this course, we will learn about systematic mistakes we make in intertemporal decisions, risky decisions, and strategic environments. We will see the empirical evidence about it, and learn the economic models developed to study behavioral biases. Prior knowledge of game theory (100B level) and statistics (ECN 102/STA 108) would come in handy during the course.

    Instructor: Professor Anujit Chakraborty

    Anujit Chakraborty is an Assistant Professor of Economics at UC Davis. He received his Ph.D. in Economics from the University of British Columbia, under Professor Yoram Halevy in 2017. He has previously received a B.E in Electronics Engineering from Jadavpur University and an M.S in Economics from the Indian Statistical Institute. Dr. Chakraborty works in the intersection of Economic Theory, Behavioral Economics, and Experimental Economics.